INTEGRATED PEST MANAGEMENT FOR JUTE CULTIVATION: MACHINE LEARNING APPROACHES FOR PEST CLASSIFICATION
Keywords:
Jute cultivation, pest detection, deep learning, MLCNN, sustainable agriculture.Abstract
Jute cultivation, like many agricultural systems, faces significant challenges due to pest infestations from species such as the alfalfa weevil, Bactrocera tsuneonis, Cicadellidae, Dacus dorsalis,Pseudococcus comstocki Kuwana, wheat blossom midge, Xylotrechus, and yellow cutworm. These pests can cause considerable crop damage, contributing to 20–40% of global agricultural production
losses each year.
References
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