NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING
Abstract & Details
Research Area
Computer Science
Keywords
Plant disease is serious problem that affect million of plants in world
cause damage
reduce crop yield
and make big challenge for agriculture
so we develop PlantDiseaseAI
a platform to help farmer and gardener find plant 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 plant problem without need for costly equipment or many expert visit. It aim to support people everywhere
men and women
young and old
by offer simple tool for diagnose and care
even in area with less agricultural facility. PlantDiseaseAI also plan to include feature like connect farmer with local expert
share agricultural knowledge
and create community support
so people can learn and help each other to keep plants healthy. It design to work on basic device
which make it accessible for all kind of farm
and offer information in multiple language to reach more people. In future
we want improve platform to find more type of plant problem
give clear explanation of result to build trust with expert
and add way to teach farmer about prevent disease
though collect detail plant information in some place is hard. PlantDiseaseAI seek to reduce delay in diagnose
raise awareness about plant health
and make agriculture better for world population
ensure everyone
no matter where they live
can get good support to fight plant disease and grow healthier crop.
Abstract
PlantDiseaseAI, deep-learning, generative-AI, web-based platform, agricultural technology, plant disease detection, leaf image analysis
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Guruprasad K | Guru Nanak Dev Engineering College, Karnataka, India |
| 2 | Vijay Lakshmi Bai | Guru Nanak Dev Engineering College, Karnataka, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
K, Guruprasad & Bai, Vijay Lakshmi (2025). NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 11(5), 320-327.
MLA Style
K, Guruprasad, and Vijay Lakshmi Bai. "NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 5, 2025, pp. 320-327.
IEEE Style
Guruprasad K and Vijay Lakshmi Bai, "NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 5, pp. 320-327, 2025.
Vancouver Style
K Guruprasad, Bai Vijay Lakshmi. NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(5):320-327.
Harvard Style
K, Guruprasad & Bai, Vijay Lakshmi (2025) 'NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 11(5), pp. 320-327.
Chicago Style
K, Guruprasad and Vijay Lakshmi Bai. "NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 11, no. 5 (2025): 320-327.
Turabian Style
K, Guruprasad and Vijay Lakshmi Bai. "NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNING." International Journal of Advance Research and Innovative Ideas In Education 11, no. 5 (2025): 320-327.
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