Explore some of our most frequently asked questions to learn more about how Automated Fruit Scouting Inc. can solve your fruit counting problems.
Automated Fruit Scouting (AFS) is focused on accurately solving one problem, the oldest data problem in agriculture: counting the fruit in the field. We help growers instrument their fields in a simple and practical way so they have accurate counts of dards, flowers, fruitlets, maturing fruit and ripe fruit.
AFS is an Industrial Automation, Ag Tech, Computer Vision company. Our solution creates new conditions for precision farming operations, closing the gap between what is possible in the agriculture and manufacturing sectors.
Current industry standards are to count fruit manually, a.k.a., eyeballs and clipboards in orchards and fields. Manual counting is time consuming and yields highly flawed reports that growers rely on to make million-dollar decisions such as when to conduct fruit thinning, how to dose chemicals, and resource requirements needed to optimize harvest windows.
AFS's FruitScout® Fruit Recognition System™ uses a proprietary agricultural computer vision solutions to make accurate measurements throughout the year. Counts of dards, flowers, fruitlets to harvestable fruit can be obtained by taking pictures with a smartphone. Scouting that used to require hours can now be completed in minutes.
FruitScout® is a business intelligence tool that adds value to your decisions and time to your day.
It can greatly speed up you scouting processes because an entire row can now be accurately surveyed in about 10 minutes. Easily obtainable data about rows and blocks provides you with more insight into orchard productivity.
Photos can be taken with a smartphone and uploaded to AFS for processing. AFS then promptly turns around a FruitScout® Report or FruitScout® PCLM Dashboard based on the tree, row of trees, or block that you have scouted.
FruitScout® Reports fit precisely into existing workflows and contain data that is both verifiable and reviewable. Applications include Precision Crop Load Management, yield estimation, running experiments, and managing ongoing field operations for optimal fruit quantity and quality. Greater visibility into realtime developments enables faster responses to business developments.
There are no significant expenses or capital costs to implement AFS's FruitScout® Fruit Recognition System. All you need is a smartphone.
We work directly with you, in-person or remotely. Our process typically begins with a customer pilot. Its purpose is to ensure all of the questions related to full-scale implementation are addressed for you the customer and AFS’s technical support teams. During this period, you will receive FruitScout® Reports about the piloted acreage. Pilots can be conducted successfully with handheld smartphones and our FruitScout® Uploader App.
AFS’s policy is that each customer owns the data pertinent to their farm or orchard. AFS will use metadata to develop enhanced customer solutions and to troubleshoot where necessary, but the actual plant images will be owned by the customer.
AFS works directly with farmers. You can reach us at email@example.com. We'd love to hear from you!
Drones have their applications, but they do not count fruit. Drones could carry AFS’s optical sensors except that in the US, a commercial pilot’s license is required to use them in commercial orchard operations. Collecting data with hand-held smartphones is the approach favored by our customers.
AFS identifies visible fruit on trees at all stages of growth: dards, flowers, fruitlets, maturing, and ripe fruit. It does this by analyzing a smartphone picture that shows 1 - 4 trees abreast. Fruit detection is elemental to analysis, and AFS's FruitScout® product line reports verifiably accurate counts.
AFS technology excludes fruit showing on background trees or laying on the ground. The system identifies a specific cultivar and will not be confused by similar fruit, such as a crab apple, even if a crab apple tree is among the 1 - 4 trees in the image.
Yes, and because measurement is based on photo-scouting with a smartphone, measurements can be made is a few seconds with pixel-level precision; accuracy to 1/100th of a millimeter.
How much of the orchard is imaged depends on the grower’s needs, and is determined individually by each customer. AFS recommends sampling 10% - 20% of trees in an orchard and works with each customer to develop the block by block photo scouting plan that works best for them. For a typical 10-15 acre block, an entire row can be photo scouted in about the same time it would take to manually count one tree.
In data science terms, interior apples are just another part of the block, and since it is impractical to image the whole block, the objective is to collect a statistically representative sample. Some growers like to convert results into ‘per tree’ units, but the fundamental measurement is of buds, flowers or fruit per row.
Instead of collecting images from multiple sides of a tree, AFS recommends spending that same amount of time gathering more data (images) from an additional row in the block.
Unlike systems that promise the shiny “Holy Grail” of estimating counts of fruit that cannot be seen, AFS is in the business of taking direct measurements in your orchards. Many growers develop estimates by comparing what they see today to recollections of prior years. Instead of replacing that expertise, FruitScout® upgrades the yardstick used to make year-over-year comparisons. It takes the labor and subjectivity out of image collection, turning estimating into a quick, accurate, and objective data-driven process.