Optimizing Fertilizer Application Using Ai For Sustainable Agricultural Practices

This study explores the use of Artificial Intelligence (AI) in maximizing fertilizer application in farming to obtain increased yields while reducing environmental effects. Application of AI-based precision agriculture technologies like real-time soil sensors, satellite data, and meteorology allows accurate recommendations for fertilizer use based on plant and soil needs. With these technologies, the system avoids over-fertilization, nutrient runoffs, and soil erosion that contribute to greater productivity as well as environmental protection. The system with AI for optimizing fertilizers lessens greenhouse gas emissions of fertilizer manufacturing and protects water sources from pollution due to preventing nutrients from leaching into adjacent environments. Field tests have shown efficacy of the system in improving farm crop yields as well as the farmers' profits. While there are challenges, including restricted access for small-scale farmers and the requirement for proper training, AI technology has vast potential to transform agriculture by striking a balance between ecological conservation and increasing global food demand.