Revolutionizing Crop Disease Management with Deep Learning Classifiers for Rice Leaf Images
Keywords:
Keywords: Rice Leaf Disease, Image Classification, Convolutional Neural Network (CNN), Automated Disease Detection, Agricultural Technology.Abstract
Crop disease management has been a crucial aspect of agriculture for centuries, with farmerstraditionally relying on visual inspection and expert knowledge to identify diseases. As agricultureadvanced, techniques like chemical treatments and resistant crop varieties were developed. The adventof digital tools and data processing in recent decades allowed for more precise agricultural practices,but the process of detecting crop diseases still required substantial human expertise and time
References
Devi, K.A. & Priya, R. (2021) Plant disease identification using the unmanned aerial vehicle images. Turkish Journal of Computer and Mathematics Education, 12, 2396–2399.
Kumar, A. & Palaparthy, V.S. (2021) Soil sensors-based prediction system for plant diseases using exploratory data analysis and machine learning. IEEE Sensors Journal, 21, 17455–17468.
