1 publication

• Published Subscription Original Research 8 Nov 2025

  Leveraging Deep Learning for Accurate Weed Identification

  By Sharmila A.G, Midhun Murali, Muhil Kumaran R, Nambi Krishna N, Sourav S.R

  Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …

  Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article →