Abstract: This paper introduces the Med-Crop Recommendation system, a smart farming advisory platform aimed at supporting farmers in South Karnataka in cultivating medicinal crops optimally. The platform leverages data analytics and machine learning techniques to provide personalized crop recommendations based on inputs such as soil health, climate conditions, water availability, and geographical data. In a region marked by diverse agro-climatic zones and growing market interest in herbal products, this system promotes sustainable farming by encouraging the adoption of low-water, high-value crops. The platform is designed with accessibility and scalability in mind, targeting small to medium-scale farmers.
Keywords: Smart Farming, Medicinal Crops, AI in Agriculture, Soil Analysis, Climate Data, Crop Recommendation, Sustainable Agriculture, Precision Farming.
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DOI:
10.17148/IJARCCE.2025.14651
