Date of Publication :15th June 2024

Abstract:Agriculture, the backbone of India’s economy, sustains millions of livelihoods. Despite its significance, Indian farmers encounter numerous difficulties, especially limited access to important information on nutrients, climatic predictions, unclear plant conditions, and unfulfilled government initiatives. This study uses machine learning to provide an original approach to these problems. Depending on the crop and the present-day weather, the system delivers location-specific recommendations for nutrition (NPK, or nitrogen, phosphorus, and potassium). The system also offers a seven-day weather forecast, helping farmers plan their agricultural operations efficiently and be aware of the forthcoming weather. Using the input of a camera or snap of the plant leaf, the platform’s Plant Disease Identification system can detect plant diseases. A separate section of the guidelines also lists current government schemes that are essential to farmers, ensuring that they are aware of assistance solutions that are available to them.

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