Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Central Institute of Agricultural Engineering · Indian Council of Agricultural Research · +4 more institutions
Abstract
Abstract Plant diseases cause significant damage to agriculture, leading to substantial yield losses and posing a major threat to food security. Detection, identification, quantification, and diagnosis of plant diseases are crucial parts of precision agriculture and crop protection. Modernizing agriculture and improving production efficiency are significantly affected by using computer vision technology for crop disease diagnosis. This technology is notable for its non-destructive nature, speed, real-time responsiveness, and precision. Deep learning (DL), a recent breakthrough in computer vision, has become a focal point in agricultural plant protection that can minimize the biases of manually selecting…
Citation impact
- FWCI
- 355.66
- Percentile
- 100%
- References
- 238
Authors
10Topics & keywords
- Computer science
- Artificial intelligence
- Deep learning
- Precision agriculture
- Machine learning
- Convolutional neural network
- Plant disease
- Multispectral image
- Zero hunger