Papers
2
Total Citations
15
H-Index
2
About
Anand D. Darji is a researcher at the forefront of agricultural robotics and artificial intelligence, with a focused expertise in developing autonomous systems for precision farming. His primary research centers on the application of deep learning, particularly Convolutional Neural Networks (CNNs), for real-time weed detection in agricultural environments. Darji’s major contribution lies in designing an autonomous agriculture robot that integrates computer vision with robotic mobility, enabling the identification and targeted removal of weeds without human intervention. This work directly addresses critical global challenges, including rising food demand and labor shortages in the agricultural sector. His most-cited paper, "Design of an Autonomous Agriculture Robot for Real-Time Weed Detection Using CNN" (2022), has garnered 12 citations, demonstrating its relevance and impact within the field. By combining robotics and AI, Darji’s research offers a scalable solution to improve crop yield and reduce reliance on manual labor, positioning him as a key innovator in smart agriculture. His achievements highlight a commitment to leveraging technology for sustainable and efficient food production.
Research Focus
Key Achievements
Top Papers
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