Farmera: Precision Farming with GIS, AI Pest Management, Smart Irrigation, Data Analytics, and Optimized Crop Planning

• Published in: 2024 International Conference on Inventive Computation Technologies (ICICT) pp. 1134 - 1140
• Main Authors: Reddy, K Prashanth, Roshni Thanka, M., Edwin, E. Bijolin, Ebenezer, V., S, Stewart Kirubakaran, Joy, Priscilla
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.04.2024
• Subjects: AI-FMS (Artificial Intelligence Farm Management System); Artificial intelligence; Crops; Data Analytics; Decision making; Environmental Stewardship; GIS (Geographic Information System); Optimized Crop Planning; Precision Farming; Predictive analytics; Real-time systems; Resource Allocation; Resource management; Smart Irrigation; Temperature sensors
• ISSN: 2767-7788
• DOI: 10.1109/ICICT60155.2024.10544687

The AI-driven farm management system (AI-FMS) is a game-changing technology that improves productivity, sustainability, and environmental stewardship in agriculture by merging predictive analytics, geo-integrated monitoring, and smart resource allocation. With the help of this cutting-edge technology, farmers can maximize resource consumption, increase yields, and reduce their negative effects on the environment. Through the use of advanced analytics, AI-FMS can accurately anticipate weather patterns, insect infestations, and crop yields. The primary objective of the AI-driven farm management system (AI-FMS) is to optimize crop management practices by integrating predictive analytics and real-time monitoring, thereby improving crop health and overall yields.Insights like these provide farmers the heads up they need to plan ahead, prepare for potential problems, and make proactive changes to their agricultural methods for the best possible crop development and harvest. AI-FMS is able to fully comprehend the farm's microclimates and soil conditions thanks to real-time data from a network of strategically placed sensors. Soil moisture, temperature, nutrient levels, and other vital data are constantly monitored by AI-FMS, allowing farmers to pinpoint problem areas, such as those with water stress or nutritional deficits, that need rapid care. Water, fertilizer, and pesticide distribution may all be improved with the use of AI-FMS's extensive data library, which includes historical data, data from real-time sensors, and predictive insights. By strategically allocating available means, this method provides maximum crop output with little waste and lower environmental impact. The Artificial Intelligence-driven Farm Management System (AI-FMS) is a game-changer that encourages farmers to adopt ecofriendly methods of farming. Artificial intelligence farm management systems pave the way for a more sustainable and productive agricultural future by offering data-driven insights, facilitating educated decision making, and maximizing resource use. In conclusion, AI-FMS is a giant step forward in agricultural technology, heralding a new age of data-driven farming marked by improved efficiency, longevity, and ecological consciousness. AI-FMS has the potential to transform the agricultural business by equipping farmers with the knowledge and resources they need to produce food in a way that is both safe and sustainable for the long term.