GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION

September 2025
Vol-11, Issue-5
Paper ID: 27499
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science
Keywords
Pigeon pea PigeonPeaAI deep learning generative AI web-based platform agricultural technology plant disease detection leaf image analysis
Abstract
PigeonPea disease is serious-problem that affect million of crop in world, cause loss, reduce yield quality, and make big challenge for farming, so we develop PigeonPeaAI, a platform to help farmer and agronomist find PigeonPea disease early and manage it better, especial in place where agricultural resource is limit and specialist not always there. This platform use advance technology to look at plant information and symptom, make it easier to spot PigeonPea problem without need for costly equipment or many farm visit. It aim to support farmer everywhere, men and women, young and old, by offer simple tool for diagnose and care, even in area with less agricultural facility. PigeonPeaAI also include feature like connect farmer with local agronomist, share farming knowledge, and create community support, so people can learn and help each other to grow healthy crop. It design to work on basic device like phone, make it accessible for all kind of farm, and offer information in multiple language to reach more people. PigeonPeaAI seek to reduce delay in diagnose, raise awareness about PigeonPea-health, and make farming better for world population, ensure everyone, no-matter where they live, can get good support to fight PigeonPea disease and grow healthier crop.

Author Information

# Name Institute / Affiliation
1 Rajshekar G Guru Nanak Dev Engineering College Bidar, Karnataka, India
2 Nimra Mubeen Guru Nanak Dev Engineering College Bidar, Karnataka, India

How to Cite

Use the following formats to cite this article in your research.

APA Style
G, Rajshekar & Mubeen, Nimra (2025). GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION. International Journal of Advance Research and Innovative Ideas In Education, 11(5), 295-302.
MLA Style
G, Rajshekar, and Nimra Mubeen. "GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 5, 2025, pp. 295-302.
IEEE Style
Rajshekar G and Nimra Mubeen, "GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 5, pp. 295-302, 2025.
Vancouver Style
G Rajshekar, Mubeen Nimra. GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(5):295-302.
Harvard Style
G, Rajshekar & Mubeen, Nimra (2025) 'GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION', International Journal of Advance Research and Innovative Ideas In Education, 11(5), pp. 295-302.
Chicago Style
G, Rajshekar and Nimra Mubeen. "GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION." International Journal of Advance Research and Innovative Ideas In Education 11, no. 5 (2025): 295-302.
Turabian Style
G, Rajshekar and Nimra Mubeen. "GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISION." International Journal of Advance Research and Innovative Ideas In Education 11, no. 5 (2025): 295-302.

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