What role can AI play in monitoring and predicting crop diseases?

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Joachim Pimiskern

A typical method is to analyze the color spectrum, e.g. of satellite images.

https://www.wired.com/story/plant-ai/

https://www.derstandard.at/story/2000065183252/extrem-zuverlaessig-ki-fuer-handys-erkennt-kranke-pflanzen

Article Deep Learning for Image-Based Cassava Disease Detection

https://phys.org/news/2023-05-artificial-intelligence-algorithm-accurate-disease.html

Article Imaging-Based Resistance Assay Using Enhanced Luminescence-T...

https://www.eurekalert.org/news-releases/935445

https://www.emi.fraunhofer.de/de/aktuelles/aktuelles-presse/satelliten-messen-trockenstress-bei-pflanzen.html

Regards,

Joachim

Tejas Turakhia

If you can explain in more detail what exactly is your query then I can answer more specifically.

For now I will say a very significant role.

Different AI Models can be used to forecast weather patterns, assess crop health, and detect diseases or insufficient plant nutrition. Also in understanding soil qualities and livestock health monitoring. AI systems can also detect the presence of pests or diseases by scanning images to find mold, rot, insects, or other threats to crop health.

References:

1. https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1356260/full

2. Article Understanding the potential applications of Artificial Intel...

3. https://www.itransition.com/machine-learning/agriculture