Revolutionizing plant health with machine learning for disease detection and diagnosis

Loso Judijanto, Sutiharni Sutiharni, Brian Sebastian Salim, I. Wayan Suanda, Zurrahmi Wirda, Eko Agus Martanto, Andiyan Andiyan

Article ID: 6920
Vol 8, Issue 13, 2024

VIEWS - 43 (Abstract) 27 (PDF)

Abstract


The use of artificial intelligence (AI) in the detection and diagnosis of plant diseases has gained significant interest in modern agriculture. The appeal of AI arises from its ability to rapidly and precisely analyze extensive and complex information, allowing farmers and agricultural experts to quickly identify plant diseases. The use of artificial intelligence (AI) in the detection and diagnosis of plant diseases has gained significant attention in the world of agriculture and agronomy. By harnessing the power of AI to identify and diagnose plant diseases, it is expected that farmers and agricultural experts will have improved capabilities to tackle the challenges posed by these diseases. This will lead to increased effectiveness and efficiency, ultimately resulting in higher agricultural productivity and reduced losses caused by plant diseases. The use of artificial intelligence (AI) in the detection and diagnosis of plant diseases has resulted in significant benefits in the field of agriculture. By using AI technology, farmers and agricultural professionals can quickly and accurately identify illnesses affecting their crops. This allows for the prompt adoption of appropriate preventative and corrective actions, therefore reducing losses caused by plant diseases.


Keywords


artificial intelligence (AI); identification; diagnosis; and plant disease detection technology

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References


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DOI: https://doi.org/10.24294/jipd6920

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