AgScoutai

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Scout is creating an AI-powered farm management platform enables growers to maximize quality, yield, and financial outcomes by leveraging computer vision, digital operational and climate/weather data, and predictive analytics to provide prescriptive actio

10/13/2026

Underperforming zones do more than reduce yield. They quietly erode profitability and limit the long-term potential of a vineyard.

The challenge is that they often disappear inside the block average.

One row may be thriving while the next is struggling.

One zone may carry the block while another consumes the same labor, water, and inputs without delivering the same return.

And every season is different.

The last two growing seasons in California have really highlighted this:

Heavy fruit in 2025. Significant shatter and some of the lightest fruit this year.

Managing a vineyard based only on historical and block-level averages no longer provides enough visibility.

The average may tell you there is a problem, but it cannot show you where performance is being lost or where to act.

Scout maps performance at the plant level, helping vineyard teams identify underperforming plants and zones and understand spatial variability.

Once you know which plants are underperforming, you can take precision actions to target their improvement and direct labor, water, and inputs where they can have the greatest impact.

Every vine. Every row. Every zone.

Because protecting long-term vineyard profitability starts with seeing what the average hides and knowing precisely where to act.

10/09/2026

Guesswork out. Precision in.

This is the year to throw out the block averages.

Significant shatter made this year’s yield forecast one of the most challenging in years.

Yet across completed harvests with available actual weights, Scout has achieved 85–98% block-level forecast accuracy, with most forecasts exceeding 91%.

That accuracy matters because the loss was not uniform. Fruit set and berry retention varied by vine, row, zone, and block. Historical cluster weights and a single block-wide adjustment could not accurately represent what was happening across the vineyard.

Scout measures the current crop at the plant level and adjusts for fruit set and shatter as the season develops. We continuously sharpen the forecast to support pick zones, harvest logistics, tank planning, and crew planning.

An inaccurate yield forecast is not just an agronomic problem.

It affects whether you are buying or selling fruit, how much harvest labor to schedule, when equipment needs to move, how much tank and barrel capacity to prepare, and what revenue the business can expect.

Forecast too high, and you reserve labor, equipment, tanks, barrels, and supplies you do not need.

Forecast too low, and you may be forced to buy fruit, find additional capacity, or change production plans at the most expensive and least flexible point in the season.

The business value is not simply a better forecast.

It is better decisions for the business.

More time to make commercial decisions. Better alignment between vineyard and winery operations. Greater protection for margins. And the ability to negotiate from a position of knowledge instead of reacting at harvest.

10/07/2026

Each growing season, we help smart farmers farm smarter by using AI to give growers new superpowers.

Our customers across California are harvesting now, guided by data at every level of the operation.

Despite unpredictable weather and significant shatter, Scout’s forecasts are holding up:

• Median accuracy above 87%
• Most actual tonnage within Scout’s forecasted range
• Many block and contract forecasts above 91% accuracy

That represents a 40–60% improvement over status quo methods based on historical averages and limited manual sampling. This season, we have seen traditional farm forecasts miss actual harvest tonnage by as much as 65%.

But an accurate farm total is only the beginning. The forecast should match the level where the decision is made:

• Farm: total production and revenue exposure
• Block: performance, labor, and equipment planning
• Row: fruit by row and harvest logistics
• Pick zone: tonnage from rows harvested together
• Contract: commitments, shortfalls, and available fruit

Every forecast is built from the same plant-level foundation: productive vines, adjusted clusters per vine, cluster weight, fruit set, and shatter.

One source of truth, organized around how the vineyard and winery actually operate.

Forecast at the level where you need to act.

Where does forecast uncertainty create the biggest challenge in your operation: contracts, crews, harvest logistics, or winery capacity?

09/15/2026

The math doesn’t math anymore.
Since 2016, growers have faced the end of a historic drought, extreme heat, late frost, wildfire smoke—and back-to-back vintages that looked nothing like the seasons before them.
Phenological timing and fruit set now shift dramatically from year to year. Average yields move in different directions, and by harvest, the forecast often bears little resemblance to what is actually in the field.

Using historical yield averages to forecast this year’s crop is like using the average price of diesel over the past five years to predict what it will cost next week.
Yet growers are still being asked to plan an entire season against a number that no longer describes any real year.

That is not a sound strategy for labor.
Not for inputs.
Not for harvest logistics.
And not for the tonnage committed to a winery in June.
What replaces the average isn’t a better guess.
It’s precision.

Because when the season stops being predictable, the only thing that holds up is knowing exactly what is in the ground right now.

09/02/2026

Shatter did not hit every variety the same way this season.

Across the vineyards we analyzed, Cabernet Sauvignon showed the highest average plant-level shatter score at 27%, followed closely by other Bordeaux reds at 25% and Rhône reds at 23%.

We definitely saw more shatter in mountain vineyards where the winds where present.

Sauvignon and Semillon sat lowest at 15%, with Pinot Noir at 16%.

But the bigger story is not just which varieties were hit hardest.

It is the spread.

Even within the same variety group, the range was wide. That means two blocks with the same variety can tell very different stories, and even within one block, plants, rows, and zones may be carrying very different levels of impact.

That matters because shatter can reduce final yield even when cluster counts look normal. Lower berry set means lower cluster weight. Greater variability means harder production planning. Uneven crop load can also lead to faster or less consistent ripening.

A vineyard-wide estimate can miss where the real loss is happening.

Scout measures shatter spatially, at the plant level, so growers can see which varieties, blocks, rows, and zones were most affected and adjust forecasts, sampling, thinning, irrigation, and harvest planning accordingly.

Because “we think it’s down a bit” is not enough when the impact is this uneven.

09/01/2026

What do you do after shatter?
First, don’t average it away.
Shatter is rarely uniform. It can vary by variety, block, row, zone, and even plant to plant.

That means the right response starts with understanding where the impact is greatest and how much it may change final yield and fruit development.

Scout scans every plant and create a fruit set score for each cluster and plant. Scout's agronomic AI generates a shatter map showing you the impact of shatter at a plant, row, block level.

This gives you visibility into crop load and ripening. Areas with lighter crop may ripen faster, while heavier or less-affected zones may lag behind. That can affect irrigation, thinning, pick decisions, and harvest timing.

Scout then provides detailed reports on how the yield at the row, block, and zone level is impacted by shatter.

Production planning, tank allocation, labor scheduling, sampling routes, and pick zones all become more accurate when shatter is measured by location instead of guessed across the vineyard.

Shatter already happened at bloom.
The opportunity now is to measure the impact, manage the variability, and make better decisions before harvest.

07/27/2026

Across Northern California, shatter showed up early this season.
Warm bloom. Cold, windy stretches. Uneven set.
Most vineyard teams can see it in the field: gaps in the cluster, blocks coming in lighter than expected, and fruit that simply isn’t where the forecast said it would be.
Shatter impacts yield, but it can also affect quality when set is uneven and ripening becomes less consistent.

The harder questions are:
How big is the impact?
And where is it happening?

When growers can answer those questions early, they can adjust production planning, refine yield forecasts, prioritize sampling, and act faster in the field. In some cases secure additional fruit to hit their production targets.

For much of the industry, that answer is still a guess. A gut-feel percentage. A vineyard-wide haircut. A number that gets folded into the forecast without really showing where the loss happened.
Shatter is driven by weather at bloom, but it doesn’t hit evenly.

It varies by variety, block, zone, and sometimes row by row.
That’s why it needs to be measured spatially, not averaged away.

More this week on what shatter really costs, and why “we think it’s down a bit” isn’t enough.

07/07/2026

The best product conversations don't happen in conference rooms. They happen in vineyard rows.

Last Tuesday we joined UC ANR Connect's Field Day at Hopland REC — part of a cohort growers themselves selected, based on the problems they want to solve that are urgently needed.

We spent the morning showing how Scout turns vineyard data into agronomic intelligence, and left with a notebook full of grower questions that will shape where we go next.

Grateful to UC ANR Innovate and Hopland Research and Extension Center for putting growers at the center of the innovation process. This is how agtech should be built.

06/23/2026

What can Scout capture in a scan?

Inventory Metrics: Block and GPS locations; productive and non-productive vine counts

Plant Metrics: Trunk thickness, cordon thickness, spur count, spur height, canopy volume

Fruit Metrics: Cluster counts, cluster heights, cluster width, cluster area, fruit volume

Captured at the plant level, analyzed at the row, block, zone and vineyard level for spatial variability. All while you are making passes on an ATV, or a Tractor.

20 times more data at up 9 miles an hour...

06/17/2026

"We don't know if we're buyers or sellers until July."
Said by a vineyard director we work with. Said by most of them, if you ask honestly.

By the time the answer arrives, you have to scramble to find buyers or to find fruit that matches your program.

A trusted yield number in June changes the conversation in July.
That's the lever a good forecast enables.

Bring your blocks.
We’ll sharpen your yield forecast.

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Davis, CA

Website

http://agscout.ai/

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