SMART AGRICULTURE: ENHANCING PLANT DISEASE DETECTION WITH DRONE TECHNOLOGY
This technology transforms farm management by optimizing resource consumption and improving crop health through the integration of AI-driven disease diagnosis and targeted watering. A quadcopter drone equipped with a GPS and high-resolution camera captures geo-referenced images for aerial surveys, which are processed in real-time by an onboard edge intelligence unit. Advanced AI technologies locate and map affected areas, instantly linking diseases to precise locations. Only the affected areas may receive precise water and nutrient supplies if this data is wirelessly transmitted to intelligent irrigation systems. The technique reduces unnecessary fertilizer and pesticide use, eliminates water waste, and boosts yields while promoting sustainability. Early disease diagnosis helps prevent large-scale epidemics and supports proactive management. This method combines drone-based remote sensing, AI-powered analysis, and precision irrigation to boost agricultural yield while conserving resources.
Authors
- R Sreenithi
Institutions
- Anna University, Chennai (IN)
Publication Details
- Journal
- International Journal of Engineering Research and Sustainable Technologies (IJERST)
- Published
- 2025-09-25
- DOI
- https://doi.org/10.63458/ijerst.v3i3.117
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00