Papers
2
Total Citations
15
H-Index
2
About
Meet Gandhi is a researcher at the forefront of agricultural robotics and precision farming, with a focused expertise in leveraging deep learning for autonomous weed management. His major contribution lies in the design and development of an autonomous agriculture robot that employs Convolutional Neural Networks (CNN) for real-time weed detection. This work directly addresses critical challenges in modern agriculture, such as labor shortages and the need for higher crop yields, by offering a scalable, intelligent solution for targeted weed control. His most-cited paper, "Design of an Autonomous Agriculture Robot for Real-Time Weed Detection Using CNN" (2022), has garnered 12 citations, reflecting its relevance and impact in the field of agricultural automation. A subsequent version of this work has also been recognized, underscoring his persistent effort to refine and disseminate his findings. By integrating robotics with artificial intelligence, Gandhi’s research paves the way for more efficient, sustainable farming practices, making him a notable contributor to the intersection of robotics, computer vision, and agriculture.
Research Focus
Key Achievements
Top Papers
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