Abstract: This study explores the application of deep learning techniques for crop pest classification and pesticide recommendation. Leveraging neural networks, the model aims to accurately identify pests from images. Additionally, the system integrates a recommendation component based on identified pests, suggesting optimal pesticide solutions for effective crop protection. The approach showcases the potential of advanced technology in enhancing agricultural practices for improved yield and sustainability.

Keywords: Crop pests, Pest Classification, pesticide recommendation, Deep Learning, Convolution Neural Network, Agriculture Productivity.

Cite:
M. Chaitanya Kumari, K. Hemalatha, K. Sirisha, G. Sri Durga Chandana,"Crop Pest Classification and Pesticide Recommendation using Deep Learning Techniques", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11343.

| DOI: 10.17148/IARJSET.2024.11343