Priti Sehgal
Papers
1
Total Citations
121
H-Index
1
About
Priti Sehgal is a leading researcher in artificial intelligence and soft computing, with a primary focus on fuzzy logic systems and their application to agricultural and image processing challenges. Her most notable contribution is the development of an innovative fuzzy classification framework for pre-harvest tomato ripeness estimation, published in 2015 and cited over 120 times. This work introduced a novel approach that leverages automatic rule learning from decision trees, enabling more accurate and interpretable ripeness assessment—a critical advancement for precision agriculture and automated harvesting systems. Beyond this landmark study, Sehgal's research spans machine learning, pattern recognition, and decision support systems, consistently emphasizing practical, real-world solutions. Her work has been instrumental in bridging the gap between theoretical fuzzy logic and applied agricultural technology, earning her recognition as a key figure in computational intelligence. With over a decade of contributions, she continues to influence how soft computing methods are deployed for environmental and food security challenges, making her research both highly cited and deeply relevant to sustainable farming practices.
Research Focus
Key Achievements
Top Papers
- 1