Papers
1
Total Citations
3
H-Index
1
About
Sudarson Jena is an emerging researcher in the field of agricultural technology and machine learning, with a focused interest in applying computational methods to solve real-world problems in plant pathology. His most notable contribution is the development of a machine learning approach for the classification of lemon leaf diseases, a study published in 2022 that has already garnered 3 citations. This work demonstrates his ability to bridge the gap between artificial intelligence and agriculture, offering a scalable and efficient solution for early disease detection in citrus crops. By leveraging image recognition and classification algorithms, Jena’s research holds promise for improving crop yield and reducing economic losses for farmers. Though early in his career, his work signals a commitment to precision agriculture and data-driven decision-making. As he continues to explore the intersection of AI and sustainable farming, Jena’s contributions are poised to gain further recognition, making him a researcher to watch in the growing field of smart agriculture.
Research Focus
Key Achievements
Top Papers
- 1A Machine Learning Approach for Classification of Lemon Leaf Diseases3 citations · 2022