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Data-driven Comprehensive Predictive Model Leveraging Market Insights and Topographical Factors for Crop Productivity and ProfitabilityBy Deepak N.R., A. Madhan, Abinraj M., H. Mohamed Akram, H. Vijay Raghav
Abstract: For global food security and economic expansion, the agricultural industry is essential. However, farmers face numerous challenges such as unpredictable weather patterns, soil degradation, and market volatility, which affect crop productivity and profitability. This article proposes a prediction model that leverages market trends and topographical factors to optimize crop productivity and maximize profits. The model is designed using machine learning techniques and takes into account variables such as soil type, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 21–30 Read article →