Cotton crop disease detection using frcm segmentation and convolution neural network classifier
T Kalaiselvi, V Narmatha - … and Bio-Inspired Computing: Proceedings of …, 2023 - Springer
Cotton rightly called as 'silver fiber'is the most profitable crop in horticulture. Any pathogenic
attack on such plants should be immediately identified and taken proper measures as it will …
attack on such plants should be immediately identified and taken proper measures as it will …
Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization
Globally, pests and plant diseases severely threaten forestry and agriculture. Plant
protection could be substantially enhanced by using noncontact, extremely effective, and …
protection could be substantially enhanced by using noncontact, extremely effective, and …
TomSevNet: a hybrid CNN model for accurate tomato disease identification with severity level assessment
U Shruthi, V Nagaveni - Neural Computing and Applications, 2024 - Springer
Tomato diseases are a major challenge for tomato growers, leading to significant yield
losses and reduced quality of produce. Manual diagnosis of tomato diseases can be time …
losses and reduced quality of produce. Manual diagnosis of tomato diseases can be time …
Cotton Diseases Multiclassification: CNN and Random Forest Approach
N Kumari, T Mandal, P Kumar… - … on Automation and …, 2024 - ieeexplore.ieee.org
The study of cotton diseases aims to reduce their destructive effect on agriculture, standard
methods for identifying diseases, such as observation and specialized diagnosis, are costly …
methods for identifying diseases, such as observation and specialized diagnosis, are costly …