Agriculture is highly dependent on factors such as soil quality, weather conditions, and geographical location. However, many farmers still rely on traditional farming practices, personal experience, or general advice when selecting crops, which may not always be suitable for the existing environmental conditions. This often results in poor crop yield, financial losses, and inefficient use of agricultural resources. Although digital agricultural tools are available, many of them provide generalized recommendations without considering multiple location-specific parameters or are difficult for farmers to access and use. Therefore, there is a need for an intelligent, user-friendly, and accessible system that can analyze soil type, location, and weather conditions to recommend the most suitable crops. The proposed innovation aims to address this challenge by providing AI-based, location-specific crop recommendations that help farmers make informed decisions, improve productivity, and support sustainable agricultural practices.
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