Lal Chand
Papers
1
Total Citations
2
H-Index
1
About
Lal Chand is a researcher at the forefront of precision agriculture, specializing in the application of machine learning and computer vision to solve critical challenges in crop management. His work focuses on the automated detection of agricultural pests, particularly whiteflies, which cause significant damage to crops worldwide. In his most cited paper, "Detection of whitefly pests in crops employing image enhancement and machine learning" (2023), Chand introduces a novel methodology that combines advanced image enhancement techniques with machine learning algorithms to identify pest infestations with high accuracy. This contribution is pivotal for the development of smart farming systems, enabling early and precise pest detection that reduces reliance on broad-spectrum pesticides. Although his citation count is currently modest at 2, his work represents an emerging and impactful direction in the integration of robotics and automation into agriculture. Chand's research is part of a broader paradigm shift toward data-driven, technology-enabled farming, and his contributions are laying the groundwork for more efficient, sustainable crop protection strategies.
Research Focus
Key Achievements
Top Papers
- 1