• Karthik Madnal
• Abhishek Singh
• Neeta Ranade

Modern agriculture integrates modern-day technologies for automatic and green practices. This solution combines actual-time crop tracking with an RGB camera sensor, thermal camera sensors, and horn sensors. RGB sensors provide insights into crop colors and growth patterns. Thermal sensors locate temperature variations, indicating strain or disease. RGB data is utilized to automatically detect pests and diseases by utilizing real-time RGB and thermal data. Activating the scarecrow dynamically improves the accuracy of the repellent. RGB and thermal sensor facts underpin precision farming, automating useful resource utilization for better overall performance. Automatic irrigation management involves using RGB and thermal records to schedule irrigation based on soil moisture and crop needs. Farmers use weather-responsive automation to adjust their farm functions according to changing climate conditions. Improving your understanding of the system over time can make it more useful. Studying historical data can help us understand the suitability of crops, the cycles of pests, and the effectiveness of different pest control methods. Remote monitoring enables farmers to control fields remotely, making informed choices using real-time cameras and sensor information. The software, with a decision aid device, offers guidelines based totally on integrated sensor facts. This technique promotes sustainable and precise agriculture, utilizing smart and automated practices to improve efficiency. Integrating AI chatbot abilities into a farmer gadget allows real-time data transfer, crop and pest control management, and customized alerts through push notifications. This ensures that farmers receive timely updates on essential situations, enabling remote farm management through mobile accessibility.

Live crop Monitoring, RGB sensors, Sound sensors, Automatic detection of pests and illnesses Dynamic activation of a scarecrow, Automatic watering, Weather-responsive automation, Analysis of historical statistics Remote tracking and management, Farm automation Grain fitness tracking, Soil moisture degree, Long-term crop health, Real- time data transport, Query management, Crop control, Pest control, Customizable alerts, Push notifications, Prompt updates, and Mobile accessibility.

"AI IN FARMING AND CROP MONITORING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.f287-f292, December-2023, Available :http://www.jetir.org/papers/JETIR2312533.pdf

"AI IN FARMING AND CROP MONITORING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppf287-f292, December-2023, Available at : http://www.jetir.org/papers/JETIR2312533.pdf