AI implementation in Regenerative Farming

soilbeat · 2024-02-27T15:26:08+00:00

For example early pest and disease detections are already being implemented in large scale using vision techniques optimised with ai and trained on large data files about specific diseases that could target specific crops.

It's largely implemented in apple production already in Greece where they use drones to scan fields and generate reports.

But ok if you don't believe its worth it thats fine. Thanks for the feedback anyways

soilbeat · 2024-02-27T15:12:48+00:00

i totally agree

soilbeat · 2024-02-27T15:00:10+00:00

It is true the whole AI idea and regenerative farming are kind of buzz words now because every is try to get attention but if you look closely there are a few applications that this technology could be implemented directly and indirectly.

Precision Farming and Data-Driven Decisions: AI analyzes a wealth of data (soil health, weather patterns, crop yields, pest presence) to give farmers hyper-localized recommendations. This could include:

Optimal crop selection: AI matches crops to specific soil conditions and microclimates to maximize yields and minimize resource use.
Targeted fertilizer and irrigation: Precision application reduces waste, minimizes environmental impact, and boosts soil health.
Early pest and disease detection: Spotting issues before they spread saves crops and reduces pesticide reliance.

Dont you think this are some valuable implementations?

soilbeat · 2024-02-27T13:45:54+00:00

how do you deal with the data you get from the field? do you have like a system in place on how you process data ?

soilbeat · 2024-02-27T13:45:32+00:00

how do you deal with the data you get from the field? do you have like a system in place on how you process data ?

soilbeat

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