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Author

A. Bodhale

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Review Open access Aug 2026

Machine Learning and Deep Learning Techniques for Weed Detection in Agricultural Fields: Recent Advances, Challenges, and Future Directions

Weed infestation is a key biotic limitation on agricultural productivity. Weeds compete with crops for light, water, nutrients and space, while increasing production costs and, in many instances, functioning as reservoirs for pests. Traditional weed management is mainly dependent on manual, mechanical and blanket chemi...

A. Bodhale, S. Verma · 0 citations
Open access Sep 2026

Attention-enhanced VGG-16 architecture for precision weed detection in wheat fields

This study delineates five advanced convolutional neural network designs that employ deep learning for the classification of wheat weeds and determined that VGG16 is the optimal choice for precise wheat–weed categorization because to its superior generalizability and accuracy.

A. Bodhale, S. Verma, Aishwary Bodhale · 0 citations

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