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Deep Learning Approaches for Crop Health Monitoring and Early Disease Detection: A Review

2025-09-08

Abstract excerpt

Crop diseases remain a threat to the world's food security with yield loss ranging from 10–40% annually. The last few years have witnessed spectacular evolution in artificial intelligence (AI), deep learning, Internet of Things (IoT), and unmanned aerial vehicles (UAVs), which transformed crop disease monitoring and early detection of diseases. Earlier image processing methods are now overpowered by convolutional...

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Literature Corpus work: 4a84b013-2243-5b99-8be0-6042c09f46bf
DOI: 10.20944/preprints202509.0642.v1

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