• Aruni Tejal Sistla
• K Likhitha Reddy
• Dr S Jayalaxmi

India, being an agrarian country, has a major challenge in the management of crop health, especially in areas such as South India where climatic heterogeneity, diverse topography, and small-scale farming prevail. The detection of disease has traditionally depended on visual inspection, and this is prone to late intervention, enhanced economic losses, and lower yields. On the other hand, developed countries have been increasingly using Artificial Intelligence (AI)-based technologies that utilize computer vision, machine learning, and drones to measure crop health in real-time and detect diseases. It analyzes platforms like Plantix (commonly utilized in India), Agremo (utilized in extensive agriculture in Europe and the U.S.), and IBM Watson Decision Platform, analyzing their technical methodologies, deployment models, and efficacy at various scales of agriculture. The paper identifies central research gaps within the Indian context, such as limited availability of annotated datasets, absence of region-specific AI models, infrastructural difficulties, and sociolinguistic hurdles to uptake. After comparing globally applied best practices along with local context, this research resulted in a 99% accuracy in our experimental analysis thus providing a basis for integrating leading AI technologies with the unique and special agro-ecological and socio-economic conditions of South Indian agriculture, ultimately leading towards more sustainable, inclusive, and efficient crop disease management systems.

Artificial Intelligence (AI), Crop Disease, Computer Vision (CV), Drones, Machine Learning (ML).

"AI-Based Crop Health Monitoring and Disease Detection: A Comparative Study with Focus on South India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.681-688, May-2025, Available :http://www.jetir.org/papers/JETIRGV06096.pdf

"AI-Based Crop Health Monitoring and Disease Detection: A Comparative Study with Focus on South India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp681-688, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06096.pdf