Ml-powered Smartagro Guidance Platform for Accurate Farming

Smart farming technologies can considerably improve agricultural production, a key driver of the international economy. Smart Agro-Advisory Framework provides individualized advice regarding appropriate crops and fertilizers on the basis of environmental factors and soil properties with the help of Deep Learning and Machine Learning. It also executes early plant disease detection via image analysis. In contrast to traditional methods that depend on single factors, this system considers several soil and climatic parameters to give precise advice. One of the distinguishing features is the inclusion of a Leaf Color Chart (LCC), which allows for early detection of nutrient deficiencies and plant diseases. Machine Learning algorithms like Random Forest, LSTM, CNN, and Reinforcement Learning are used to process and analyze a dataset of agricultural instances with enhanced accuracy. The AI-based solution helps in sustainable agriculture by optimizing resource utilization and minimizing excessive use of fertilizers and pesticides.