Kaisha: All right.

It's Thursday at 4:20 PM.

Eastern.

That means it's time for office
hours, a Roy's weekly session for

cultivators, so that you can hear from
experts and talk to each other about

what they're seeing with their grows.

My name is Kaisha.

I'll be moderating solo today while my
co may moderating Mandy's on vacation.

We miss you Mandy.

But looking forward to her coming back
soon as always, if you are live with

us, have any questions, you can feel
free to type it in the chat at any time.

And if your questions.

Picked we'll have you either unmute
yourself or I can ask for you.

We're also fielding questions from you.

Two live, welcome to everybody
out there, and you're welcome

to post your questions there.

Don't forget to like, and
subscribe while you are there.

First time question askers, get
swag, everyone on today, we'll have

a chance to win a limited edition
around a t-shirt just like mine.

Just type in an email
address into the chat.

And that will enter you into the raffle.

Seth and Jason.

How's it going?

Jason: Doing well, good

Kaisha: vacation.

Nice to see you guys.

We've been a lot of vacations lately.

Nice.

See you both in the same
place at the same time.

yeah.

So, we're going to, we're a little light
on social media questions this week.

And so it's a great opportunity to do
a little deep dive on something you're

saying maybe with our clients, with what's
what's going on with with that today.

What do you guys got going on over there?

Jason: So we're gonna talk a little
bit about harvest group analytics.

So when when you're wrapped up with
your cycle, What you can what you can

see, what you can look at document
analyze to get a better idea of how

well that cycle performed based on the,
the data that you've been capturing.

Seth: Yeah, absolutely.

I mean, you know, Roy is not just
about monitoring your day to day

functionality and your grow a
big part of it is logging that.

So we can look back at the
end of around and look at, you

know, holistic crop performance.

Where did we mess up?

What were some of the challenges we had.

And, you know, what, what can we actually
pinpoint in this whole time period

that might help us look at, you know,
where we can make some improvements.

It's, it's really important to
look back at a whole run, not just

focus on your day to day decisions.

Jason: So without further ado,
I'll share my screen here.

I've got got our interface going and
we will talk to you guys about what

what kind of features here are in.

The analytics page.

So kind of just to get started,
there's a few ways to get

to harvest group analytics.

If we jump into our production, we
can go into the analytics of, of

currently growing ones for talking
about all the features here, we're

gonna go into some that are finished
up and take a look at the data that

we summarize for those harvest groups.

So let's just jump into some banana O.

Looks like we've got pineapple
express and Jenny's test in here.

So one of the most important things to
get harvest group analytics, when you're

building your harvest group, make sure
that you've got the cultivars outlined

on the benches or the, the zones.

So when we look at this flower room,
we can see our banana OGs in zone

one, by now express the zone two in
Jenny's test zone three and four.

This is what's going to
populate your substrate data

into the specific cultivars.

And what we're doing that for is just
to make sure that we can separate any of

the, the performance that we might see
in, in the different genetics in the room.

So make sure that we get those all
populated when we're building our harvest.

One of the easiest ways to know that
you haven't done that is you may or

may not see water content and EC data
right here in our environment tab.

If if we didn't populate what
zones or detail, what zones

those cold fires are running.

So for today's topic, let's jump into
this analytics page and we'll take

a look and see what information is
provided after we've done the grow cycle.

So if we just start off at the top,
it gives us a little bit of a summary

of our recipe talking about how
long we ran each of the stages of.

And then if we go down here, we can see
our, our wet weights and our dry weights.

And we can go jump in just to
the, the yield analytics, which

we'll see down here at the bottom
of this page in just a minute.

And then there's also the gallery, which.

Looks like someone's been putting some
stock photography in this harvest script,

not, not the best representative of,
of what our plants look like for that.

But yeah, this is obviously in our, our
demo facility where we do a little bit

of plan around on the software side.

So when we're looking at this cultivation
schedule, we can break it down and

get an idea of how many tasks and
when these tasks are getting done.

So this is kind of a good
way you can visually see.

How much, you know, labor
is going on specific days.

Hopefully y'all are using the tasking
feature for any of the transplanting,

any of the IPM events, any pruning
type of strategies, tagging strategies,

really, whatever that whatever
you wanna benchmark as a point in

time that work needs to get done.

The next up is the alert.

So this alerts overview is a
really nice way to think about.

When you do struggle to stay within
the parameters of your environment

and or irrigation behaviors.

So, you know, maybe when, you know, after
we do a pruning, it's hard for us to keep

our humidity high enough in the room.

Any of those types of things.

And obviously when you're looking
from harvest group to harvest

groups, it's nice to, to recognize
any specific points in time that you

do typically see alerts go off and.

That that'll kind of give you an
idea of when we need to dig in and

understand what what we can improve upon.

Obviously this one doesn't have
any alerts, so that's really nice

to see we made it the whole cycle
without getting an emergency text

message telling us we're out range.

The sticks.

One said the target ranges
and here we have EC display.

You can go ahead and select any of the
parameters, the data parameters that are

being captured from the AOR system there
and, and take a look and see how close

to those target ranges that you state.

Throughout that harvest group.

So the yellow box in this case and the
outside is gonna be the target ranges.

We can see that adjust throughout the
different phases of the grow cycle.

And then we can see the average for the
room is the, the data line in the middle.

And this one, we did a pretty
good job towards the end.

We looks like we forgot to drop
the EC, like we had intended to

do to satisfy our recipe targets.

And then one of the most important
things here as well is it tells us how

long we were outside of that range.

So in this case, our UC spent
15 days outside a range, right?

If we jump into something like
air temperature, This is 64 days.

So we, we really struggled
with our, our air temp.

On this one, we can see, obviously
our, our target ranges were quite a

bit tighter than we could actually
run with the equipment in that room.

And so that's, what's going collaborate
to that that time outside of range.

Ideally, you're gonna have zero
time outside of your target ranges.

And I guess this is a great time
to talk about the difference

between alerts and target ranges.

So, target range is the ideal.

Parameter that we're trying to
keep any of our variables within.

So that's like the golden standard,
whereas an alert range is, needs to be

set with a little bit of bandwidth so
that you know, if, if something's just a

little bit screwy, you're not getting text
messages, but if equipment failure happens

or someone does a set point incorrectly,
then you'll definitely get notified.

Seth: Yeah.

And, and that's honestly too, where when
you're setting up those target ranges, it

is best practice, honestly, to have, if
you can two screens, but two tabs open.

So you can kind of go back and look
at your dashboard and start establish,

establishing realistic parameters.

You know, if I go ahead and say,
all right, analytically, I want to

keep 80 to 82 in early flower, but.

My chart looks a little more like
the one Jason's displaying here.

I might go ahead and say, all right, I'm
definitely gonna set that alert range.

Well, outside of my analytical
range, because I do not want

to start ignoring those alerts.

Jason: Yeah.

And that that's kind of the best way to
make sure your alert, target ranges are

tailored correctly is go back and look at
the harvest group that you didn't have any

equipment failures or any mistakes happen.

And, and look at what you can typically
achieve when, when you are meeting

the, the ranges that you like to.

Seth: Yeah, absolutely.

And honestly, I think that it's a great
way to go back and look at your data

for any one parameter over the whole
run and identify, especially with the

time counter, you know, a big issue.

I find a lot of people running into is
let's say water content in rockwool.

It's like, man, I am just
struggling with these yields.

I can't get above like two pounds
of light and we'll go back and look

and say, okay, your water content's
been relatively low the whole time.

That's one of the key fundamental
things that a plant needs to grow.

If we've limited that over, you know,
if we've spent 64 days below our

water content goals, for instance, we
can start to expect to see a pretty

quantifiable reduction in yield.

So we can actually look, you know,
backward in time and start to quantify

how much we might expect to gain
from making certain adjustments.

Especially if we have the data of a
good run versus a bad run to compare

it to, we can really parse out like,
okay, we've eliminated most of the

variables that time outside range for
EC or water content seems to be the

biggest variable we're working with.

Let's attack that next.

Jason: Exactly.

And we'll just move into
the next section here.

So, plant development, looking at
the entire cycle, this is where we're

displaying some of the manual readings.

And obviously if you've listened
to this show very much, we talk

about canopy height quite a bit when
indicating how long we should be

running different steering techniques.

So.

This is a great way to just kind
of visualize what happened as

far as those manual readings go.

This case, we can see
our, our canopy height.

Definitely weighed off right there
about, you know, looks like April 29th.

It kind of started slowing down.

And that's usually when we'll
flip back to vegetative bulking.

So, notes, pacing, another good good
metric to take in there and then stem

diameter kind of just a good idea to
keep track of that and see what it looks

like in relationship to the, the steering
parameters that you're pushing onto that.

And then our past, go ahead, Kaisha.

Kaisha: I was actually, this is amazing.

I just wanna, I'm just
applying this to my mind.

I'm a consumer, mostly, I've got
two little babies in the back.

I'm trying to grow, but I'm nowhere
near anybody else's level on here, but

I'm just wrapping my head around this.

So if I'm a cultivator, I have
like an award-winning cultivar.

It's my number one seller.

And I wanna make sure I wanna
ensure that it is grown properly

for the consistency, the.

Reliable potency every single time.

These analytics are really what
I'm looking at to determine what

works and what I can, what I
need to be doing, going forward.

What I need to adjust
going forward is that.

Jason: Yeah, absolutely.

And when we talk about things
like manual readings, there are

some really crucial points of time
when you should be capturing that.

So when you're coming out of
veg, definitely make sure you've

got your, your plant height.

And that's one of the indicators where
we know, Hey, we're on our, our bed

schedule to Hit the appropriate size
plant that we need for our yields or, or

maybe you're behind it or ahead of it.

And you can make adjustments to
stay within projectability of

your, your crop yields coming

Seth: out of there.

Oh, absolutely.

And we can also start to look at,
like, for instance, if your canopy

height, one run to the next was
14 inches or centimeters taller

yet your yield was the same.

Then we can start dialing.

Okay.

We can probably shorten
up our veg time then.

Sure.

We can go with a smaller plant.

I mean, we, we have a lot of options
to look back on, and this is a good

way to evaluate that performance.

Because again, we say it all the
time, everything is so cyclical, you

know, at pretty much any cannabis
growth facility and you're growing

the same strains over and over.

It just gets to be a lot of really
specific information to keep track of.

And if you've got an easy way to organize
it, you can quickly go back and look and.

Validate your decisions or decide
you're gonna make a different one.

Jason: Exactly.

Next up just IPM application.

It's just charting when those were
happening over the, over the growth cycle.

So, looks like two more than usual.

Maybe we had a little
bit higher pest pressure.

During this, this cycle, we
also look at waste amounts.

So if you are metric integrated,
you're tracking the, the waste

amounts from those plants.

So we can note when that.

Mixed up in this analytics, just
sensor readings great way to look

at the specific sensor spread
of any of those sensor types.

So nice way to just break out a, a harvest
group and then take a look at anything

specifically that you'd like to take a
look at, and we can also zoom into a.

These parameters.

And what we'll notice is we've got
a solid line in the middle, which

is gonna be the room average for the
sensors that are getting displayed.

And then we've got kind of a
shaded band talking about the,

the variation from, from low to,
to highest sensor data points.

Seth: Yep.

So over time for any specific
cultivar we're growing, we wanna see

that shaded van shrink and shrink.

We want our crop to get
more and more consistent.

If, and I mean, obviously you could
look at this in numbers as well, but the

shaded highlighter line is a really nice
way to just get a quick visual snapshot

at how consistent your rooms are being.

Especially if you wanna go
back over time and say, okay,

here's my first run with Arro.

We had a pretty wide
confidence band there.

And then, Hey, look, we
can quantify each runt.

We're getting it that much closer to
being very, you know, perfectly consistent

and nothing's ever gonna be perfect.

you're never, if we zoomed in far
enough, there would still be that shaded

line there outside of the solid line.

But.

Again, quick glance.

You can really start to tone in
on, okay, what am I struggling

the most with in this room?

Cuz sometimes it's not
always what people think.

You know?

I mean, sometimes you've got a lot of
things nailed down and you're like,

wow, my environment's wonderful.

Now we're just looking at plant size
and pruning, you know, trying to

get consistency in the structure.

Otherwise everything else
might be really, really nice.

Jason: Yeah.

And you know, one of the things
that is so wonderful about looking

at a confidence interval is when we
talk about population statistics, we

know that we're sampling a certain
amount of plants in that room, right.

If we've got a good, good number
of sensors in there, then we should

expect that if we go monitor any plant,
it's gonna be landing within within

that confidence interval that we see.

So.

Exactly.

Like Seth said, the, the more we
can shrink that the more uniform our

crop is, is performing in that cycle.

And then next up just to yield breakdown.

So this is kind of cool because we
can look at different options yield by

plant yield by square foot, total yield.

And then we get to take a look and see how
much moisture loss we had in this cycle.

How much dry weight.

Came out of that product and how
much waste comes out there as well.

So obviously efficiency is a great
way to keep track of how much biomass

that you create as fast as possible.

So if we are able to cut our cycle
down a little bit, we're gonna see

greater yield per square foot per day.

So obviously the constraints of any
manufacturing here is the facility size

and the time that we're growing it.

So if we can get more yield, we can grow
things faster or increase our density of,

of, of planting so that we get more weight

Seth: off there.

Absolutely.

And if you could, Jason, could you go
over, I guess on this version of the

demo, we don't have the yield section,
but I would like to do a quick preview of

the non metric integrated yield section
in production, because that is one thing

that it's kind of tough, you know, you're
usually you get your wet weight when you

harvest, that's easy to put in and then
two weeks later you get your dry weights

or more, depending on how you buck down
and how you weigh your finished product.

If you're going on the stem off the stem.

So a lot of times it's
really easy to pass that.

And I just wanna note that for all of
our customers that aren't using metric,

it's absolutely critical to record at
least your wet weight and ideally your

dry weight, even to populate some of the
production group analytics, you know, and

that yield entry is actually really easy.

We're just going in for a
basic wet and dry weight.

And typically what we wanna
look at wet weight, that's

gonna be your harvest weight.

And it's pretty self-explanatory
we got dry weight, flower, weight,

and trim rate, put trim weight.

One thing to remember is aro is taking
wet versus dry for your wet to dry ratio.

So if you want your dry weight in
analytics to represent, let's say

bucked bud, or finished bud, that's
where you want that value to go.

And then otherwise as with everything,
more data, more power in the future.

So log as much as you can over.

You know, you want as complete of
a picture of what happened during

that grow cycle as possible.

And if we don't have the
yield, we don't really have

the results to compare side to.

Jason: exactly.

And so let's just talk a little bit about
some of the, the yield numbers and, and

why these choke points are so important.

When we look at wet weight, obviously
we're analyzing the, you know,

the, the cultivation performance.

How, how well did those plants grow?

Are we at a little higher wet weight?

And then obviously the next step
is the dry weight where we able

to retain more product simply
through better drying practices.

Did we lose.

Did we lose more weight because maybe
our plants weren't quite as dense as

far as the, the bud structures go.

What you know, what point did we
have increase in performance or,

or a decrease in, in yield amount?

And obviously the sales goal
is to have as much a, a class.

Flower as we can get out of there.

If we're doing a little bit different
crop steering, we end up with a higher

trim weight and a lower flower weight.

Maybe that's not quite the, the route that
we wanted to go with those crop steering.

So always think about every stage of the
cycle and you know, how the different

parameters in crop steering affect

Seth: those stages.

Oh, absolutely.

I mean, I could show you some beautiful
graphs all day and unfortunately, the

plants that grew from those were not
what they, you know, the grower intended.

And usually that was just because
of wrong timing and switching up of

steering techniques vegging too long.

I mean, there's, there's a
whole host of things, but that

graph can still look beautiful.

And if we don't evaluate the
finished product, we're not really

looking at the whole picture.

And that's really what matters in the end.

You know, I can sit here and
tell you what I think your

graph should look like all day.

But if that did not produce the
kind of product that you were

looking for, then it's kind of.

All for not, you know, there was no
reason to really approach it if we

lost quality and, you know, potentially
lost market share, for instance,

Jason: Yeah, so kind of zooming out
and obviously we've got all these

different cycles that we're cataloging
into the system and, and it's nice

to, to dig in and see, all right.

Here's how this one ran specifically.

Here's how, what this
one ran specifically.

Let's talk a little bit about how we
know which cycles to, to dig into.

Obviously, if it's, it's not
just anecdotal, if you don't know

exactly which one you're looking at.

We could jump into our run analytics,
or if we're trying to take a look at

cultivar specific type of information,
we can go into our cultivar

profiles, our cultivars tab here.

So right now I'm looking at the run
analytics and this one, we have some

options up to, to the top where we can
sort each run by how it yielded per plant

per square foot, how long it ran and.

Then we can also categorize it by recipes.

So maybe if I had a little bit different
crop steering recipe that I've tried

a few times, we can compare those
and say, all right, well, when we're

running in our, our heart steering
you know, let's say it's like, we,

we can name these, you know, the
Ferrari recipe versus the Jeep recipe.

Well we know, Hey.

We're running there for your recipe.

Maybe it takes a little bit more
work for our part, but every time

we run that we get 20% more yield.

So yeah, this list here is all the harvest
groups and we can take a look and we

know what what we were running in there.

How many plants, what recipes
we used, how many alerts?

Anytime we did IPM event, the duration.

Really just trying to give us
an overview of what happened in

order to, to hit that wet weight.

So if I've got a whole list of this
and I want to check in there and I can

sort by our wet weight, let's get the,
the run with the highest wet weight.

And then take a look and see
what type of parameters that we

ran in order to get that weight.

Was it the great, great genetics?

Well then let's jump into C our profiles.

Was it something that we did specific
on purpose or is a mistake in

this harvest group to, to get that
different yield and let's take a look

and see, you know, what happened?

Why, why did we get
more, more out of that?

So that's where I like to dig in and say,
all right, let's pick out specifically.

Good runs specifically bad runs.

And understand what effects made that
such a successful or unsuccessful run.

Seth: Yeah.

And that's where, you know, we always
stress on crop registration and

organized note taking that's, that's
where this comes in, when you're looking

back and really trying to evaluate
what happened on a great crop, you

want to capture every part of it.

And that part of that
includes your plant height.

Any other manual readings you wanna take,
including notes, basing stem, diameter,

and then, you know, going down the line
and just taking as many notes as possible.

Take those pictures.

Record as much as you can.

That's how we can look back and really
quantify this and evaluate it without

that little bit of information.

It may seem small on a daily
basis, cuz you're just, it's 10

seconds or 30 seconds of your time
to enter some of these readings.

But cumulatively, after you have failed
to enter, let's say 60 of them or 63

throughout a growth phase, suddenly you're
blind to a certain point that you had and

all you have then is kind of going well.

We, we did take some points.

We can make some basic
assumptions on that, but.

Unless we really capture that we don't,
we can't responsibly make certain

assumptions based on a lack of data.

.
Jason: Yeah, that's a great point.

Some of our best clients are going in
there every single day, taking a picture.

And it's really fun to go back and look at
the growth cycle and they could say, Hey,

this is, you know, a specific spot maybe
where we started seeing Herms going on.

Let's compare to the data and understand
what might have induced that maybe we see

some Fox ceiling going on towards the end.

Let's check out our EC, our irrigation
patterns that that might have been making.

That growth behavior, the way it was.

So we always encourage people, you
know, have, have a team that when

they're in the room every day, take
some, some notes on, you know, could

even just be a check mark where you're
saying, Hey, everything looks good.

Let's take a picture.

And the wonderful thing about having that
database of pictures is when you go to

run that cold fire again, and you kind of.

Visually what your expectations are,
and if you aren't running a cultivar

very often, you can go back and make
sure and say, Hey, our, our purple

punch is is doing that weird thing.

Did it do it last time as well?

Is that just how this genetic expresses
itself or is something something goofy

going on that we need to correct in order
to avoid that that visual appeal of the.

Seth: Oh, absolutely.

And even for continuity in your
organization, you know, I've

definitely grown some strains that
were in the facility when I came

in that behave strangely and it's
first instinct is kind of freak out.

You're like, what is this plant doing?

Well, if I have a repository of
information about that particular

culture, where I can look back and
go, oh, This has done that regularly.

I don't need to freak out about that
or this has happened, but also, you

know, this, like we have one strain
that Foxtails, let's say, okay,

well every run that it's foxtail,
man, we can't keep the temperature

under like 85 at the end of flower.

Like, okay, well there we go.

Or, Hey, everything was great.

And this thing still Fox tailed
like, oh, well maybe it's

got kind of some undesirable
traits then that we don't like.

And instead of wasting time trying to
manipulate different variables, we might

just decide that's not a strain for us to.

Jason: Yeah anecdotally I was thinking
about so like Kim, Kim dog, we used

to run and it it was varied so that
sometimes every once in a while,

you'd have part of the half the
leaf that that would be lighter in

colors and a little bit of striation.

and this is a great example where, you
know, if it's first time you saw that in

the plant, we could go back and look at
the history of it and we'd know that, you

know, it wasn't something like tobacco,
mosaic virus, that's hitting the plant.

We just know that it's the
properties of that genetic cuz

we've seen it historically as well.

So all this information going into
to detail that the different cult

bars brings a ton of value to what
you're doing on a daily basis.

Seth: Oh, yeah.

You know, I mean, there's certain
stuff, especially in the cannabis

world, you know, I mean, we, when I
get it cut, oftentimes I don't know

when that seed was popped, unless the
person I got it from popped the seed.

Some of these might have been, you
know, in propagation for many, many

generations, you know, 20 plus years.

So sometimes we do see things like just
kinda like that slight variation, which

is generally a somatic mutation in
that chem dog that it's susceptible to.

If you know that that's happening,
just like Jason said, you can kind of

prepare for it and also go, okay, well,
it, it does that and we've accepted it.

We're moving on.

Does that bother us as growers
or does that bother the consumer?

And you can really start to narrow
in, on some of those, those things,

especially just because again, cyclically
so much happens that I don't, I don't

wanna say anyone has a bad memory,
but it's really, really quick in a

commercial situation where almost anyone
in this conversation here, you know,

growing 50, 60, a hundred thousand.

10 years in.

That was a long time ago.

that you hit that number, you know, so
it's, it's all about that registration.

Kaisha: Knowledge really is power.

Isn't it?

I, I, this is so, comprehensive.

I actually was wondering,
we get a lot of questions.

Oh, Michael, just ask question, Michael,
make it to your question next, but we

get a lot of questions about ideal,
like EC ranges, for example, can this

particular, the analytics tool kind
of help people identify trends with

what's going on with their particular.

Seth: Yeah, absolutely.

Especially if you're, you know,
keeping track of your plant health,

taking pictures, taking notes on
anything strange that might happen.

And then also, you know, when you do take
those notes, make sure you're complete,

you know, if you think it's a nutrient
deficiency, do your spot, check that day,

check your feed, see, check your runoff,
get as complete of a picture as you can.

Because as far as EC ranges go,
that's something we're dialing

for every specific strain.

The range on 'em is quite wide and.

At the end of the day, I'll say
it, they call it weed for a reason.

It's very adaptable.

I can take the same strain and actually
grow it at two different EC levels.

And as long as I apply that EC
in the right manner, I'm gonna

get a really similar result.

It's about adapting the plant to that.

And that's where we can start
to kind of catalog this stuff.

We can say, okay, here
was the graph we had.

Here's some pictures.

Here's the yield.

Here's our quality.

What, what can I deduce from that?

The higher EC run gave me better quality.

Cool.

I'm gonna go with higher EC the
lower EC run gave me better yield.

And the same quality.

Cool.

We're gonna go at the lower EC run.

There are no hard, fast rules on EC,
other than, you know, there, there are

some definite upward limits where you
start to get to a point where a plant

can't actually live in that salty water.

But as far as basic ranges go, I
mean, it's, it's very, very wide and

it has a lot more to do again about
application of that EC over time

and how well you're adapting your
plant to live in that environment.

Kaisha: One of our attendees
posted question here, and Michael,

you're welcome to unmute yourself.

You wanna add to it, but he's asking
if we can cover dry weight analytics

grams per square foot wet versus
dry weight retention, et cetera.

Jason: Sure.

To it.

Should I bulb the interface
here and we can show again?

Yeah.

All

Seth: just look at like facility
performance and start going from there.

Touch on a little bit about how
we gather these analytics and what

they mean when we're looking at it.

Jason: Yeah.

So, let's just get started obviously some
of this yield information here, if we're

in the facility performance page, we can
take a look at yields total per cycle per

total, per square foot, total per plant.

We can to do some by wet weight,
dry weight waste amounts.

So, you know, as far as driveway
specifically Obviously some

people do a little bit of
different types of benchmarks.

When we talk about dry weight, you
know, is it dry weight on stem?

Is it dry weight after we've bucked?

It does our dry weight include trim.

And that's something that we
haven't necessarily made a clear

definition in the software.

It's and there's a good reason why,
because we want you guys to keep doing it

the way that you have been tracking it.

So your, your yield information
is consistently comparable

throughout, throughout the.

And so obviously when you do go in
here, keep in mind with your staff,

how, how are they, they tracking this?

What, what, what is the reason that
you're looking at that specific group of

Seth: weight, if you will.

Yeah.

And I mean, one thing to touch
on really grants for square foot

or Roy is calculating that based
on your zone square footage.

So that's looking at.

Basically how much yield you're
reporting off of that room.

If we have one harvest group, one room,
we're gonna take that total yield, divide

that by the number of actual canopy
square feet, we have pull that number.

And then as far as wet versus dry
retention, that's straight up that

ratio we're looking at at 102.

10 20, 30, whatever it ends up being.

That's, that's where that
is being pulled from.

As far as drying goes, though, we
do always try to point towards, and

it's a manual entry right now, water
activity, as a marker of when your

plant is actually ready to come down.

And, you know, I mean also when we're
talking about dry weight, when important

thing to remember is although we're
using a water activity meter to really

determine when that plant is done.

That doesn't mean it's always done curing.

And part of that curing process is
homogenization of moisture inside the bud.

So we're gonna have parts of the
bud that are dryer parts of the bud

that are less dry that's partially.

Why.

Okay.

Maybe if we hit that 0.6 water activity,
someone goes and tries to smoke that

bud part of it burns in the inside.

Doesn't very well while
it's water on the inside.

So.

That's a very dynamic measurement
that you want to take over time.

And although there might not be a
lot of variation in it, we might

wanna expect it to stay at 0.6 over
a long period of time, not return

to it and retest it and go, okay.

Now I've only got 0.5 after we've
even out the content in this material.

So.

dry weight is very important.

Looking at your ratio as Jason
saying earlier of, you know,

flower to trim, that's huge.

We're looking at that.

That's gonna make a lot of steering
decisions for us and potentially

genetic decisions as well.

Jason: Oh, one of the things that I
used to find is I would build out my

projections and through each stage
when I was capturing you know, a choke

point of information, Wet weight.

For example, I go back and kind
of reprocessed my projections.

So we, you know, we know we're hitting
saved 18% retention from our wet weight.

And we've got some new numbers
for our wet weight coming in.

Well, if we've got a higher wet weight,
then we had projected for now, we can

rerun those numbers and, and kind of
get closer and closer to the exact

amount that we're gonna be pulling down.

Seth: Yeah.

And that's, that's the goal
of all this in the end, right.

Is to be able to predict how.

How much product we're gonna
have for sale in a few months.

Like if we can't do that, it makes
it really hard to run a business.

You know, any kind of manufacturing
process is most profitable when you can

monitor your inputs versus your outputs.

And if we're not looking at what our
outputs are, especially in terms of

what we have as saleable product,
then it's really hard to get an eye.

How successful are we being?

Cause yeah, at the end of the
day, it all comes down to that.

Not just the yield and weight, obviously
the quality, but the final product.

If that's not what we need to sell
it, wasn't worth it to grow it.

And that's where we've really gotta
kind of narrow that in and make sure

we're, we're creating a product that
your company is able to sell and

is the product that you wanna sell

Jason: cat.

And, you know, as with, with any
any cyclical growing cycles, we are.

Trying to get as much data and
so that we can really dial in

what those projections look like.

If you've only got maybe three runs on
a specific strain, we can't expect our

projections to be nearly as accurate as
if we've got 30 or 40 runs on a strain.

And, you know, kind of looks like that,
that confidence in a role, our confidence

band, I was talking about where the,
the more data that we've captured,

the, the tighter that we, we know we're
gonna hit with with that product coming.

Kaisha: Yeah.

At the end of the day, it's ensuring
the longevity of your business.

Right?

So kind of updating the skillset all
these talented growers out there just

like work with the data to help you
achieve the goals that you wanna achieve.

Michael, thank you so
much for your question.

The questions are not really
coming in live that's okay.

I have one more question here and you
know, we'll see if some more come in.

I was just wondering if there's a.

Feature within the harvest group
analytics that you guys wish

more clients took advantage of.

Maybe they're not aware of it
or forget about it, but yeah.

What would you like, what would you like
to see more clients really utilize and,

and embrace in their business practices?

Jason: Pictures?

I used to take a ton of pictures
as a cultivator was something

I really, really enjoyed.

And it's something that kind of
brought me to the point where.

Train my brain into picking
out any mistakes in the garden.

If my fer was labeled wrong, we
took some cuts off the wrong mom,

any of those type of mistakes.

The more pictures you take, the better
visual recognition you have of what to,

what to expect throughout that grow cycle.

Seth: Yeah, pictures.

Great.

I, I was personally
gonna say manual reading.

You know, I've definitely noticed a
habit among some growers, especially

once they get you know, electronic
data logging involved to kind of veer

away from taking spot measurements and
taking the daily notes that they need

to aro makes that incredibly easy.

To just do that on your phone or your
tablet or the computer either way,

but the plus button plus add a note
or add a reading is very easy to use.

It's not time consuming and it's
skipping that step of like, I, I

used to take notes, but they didn't
always make it into the computer.

Now we're dumping it right.

All into one spot where
we can access it later.

That's, that's a huge thing I found,
right, right up there with not taking

pictures and not keeping just general
track of cultivation processes.

I, but personally I would love to see
more of my customers use those manual

readings, cuz that gives us, that's
all the things we can't see with AUR

and they're all there for a reason.

They're all important.

And if you want a holistic look
at what's going on, we need

to see all those variables.

Kaisha: Amazing.

I'm here for it.

You guys, we don't have any
live questions coming in.

I guess everybody's all set
on crop steering and sensors.

But yeah, this is a
great overview actually.

So, you know, aro customers
definitely take full advantage

of your harvest group analytics.

There's so much that can
be learned from that.

I think we're gonna wrap
it up a little bit early.

Seth, Jason, anything you wanna
say before we, before we go.

Jason: I think we're good over here.

Seth: Yeah.

Keep, keep having fun growing out there.

We're I know I'm always stoked to be part
of an industry where all my customers are

also stoked to be part of the industry.

Yeah.

It's always great interacting
with our customers and we love it.

Kaisha: I so agree with that.

Yeah, no, we, we this is a
dynamic exciting industry.

It could be frustrating at
times, but I don't know.

I don't wanna be anywhere else.

How about you guys?

Seth: Not really.

There's far less, far less exciting parts
of agriculture to be in that's for sure.

Yeah.

Kaisha: that's it.

Wow.

Thank you.

Set.

And Jason so much for
a great conversation.

Thanks to everybody who
joined us live today.

Anybody you know, who's never seen
us before we do this every Thursday.

And the best way to get answers
from the experts is to join live.

So definitely feel free to
join us live every week.

If you have any questions about
AROYA, feel free to book a demo.

Our experts will tell you about
how it can be used to improve your

cultivation production process.

And then as always, if there's a
topic you'd like us to cover in a

future office hours episode, posted
in the chat, shoot us an email

at support.aroya@metergroup.com
or send us a DM of our Instagram.

We definitely wanna hear from you.

We record every session.

We'll email everybody in
attendance, a link to the video

from today's conversation.

It'll also be on the AROYA
YouTube channel, like subscribe

and share while you are there.

And if these conversations are
helpful, do spread the word.

Thank you all so much.

Seth and Jason, I look forward to
seeing you next week in person.

I'll be in Pullman, Washington.

Seth: Awesome.

Yeah.

That's pretty exciting case
you can't wait to see here.

Can't

Kaisha: wait.

I have never met these guys in.

Oh wait.

No, that's not true.

I haven't met Jason, everybody.

Thank you so much,

Seth: Kaisha.