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Agriculture

Crop health Analysis

Precision Farming as a Service

Precision Farming as a Service

For:
Farmers
Goal:
Anticipate Risks, Improve Operation Efficiency
Problem addressed
The use case shows how AI is contributing to modernization of the agriculture
industry.
Scope of use case
Use visual recognition to identify and help fight parasites attacking organic farms.
Description
BioBotGuard main goals are to cut the use of phytosanitary
treatments to contain the environmental health risk by
estimating the probability of incubation and development of
plant diseases or harmful insect attacks and anticipate
treatments. BioBotGuard monitors microclimatic conditions
with high accuracy measurement and prediction models to
optimize irrigations.
From the technology point of view, it employs: AgroDrones
to patrol and map the culture field. They are equipped with
20Mx high-resolutions cameras to capture in real-time
images. On the back end, the drone sends data to a computer
vision API for image classifications and pattern detections.
Among other things, the system is able to detect harmful
insects and build a georeferenced risk map of the crop.
As a result, bioBotGuard can help AgriFood producers to
change the cost structure of the industry by requiring less
water and less treatment, as well as a significant reduction in
labour costs.
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Live Video
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IOT
Computer Vision
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Automate Process
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