Crop Recommendation System Using Machine Learning
Farmers worldwide face the challenge of optimizing crop selection to maximize yield and profitability while minimizing resource use and environmental impact. Traditional methods of crop selection often rely on anecdotal knowledge or trial and error, leading to suboptimal outcomes. To address this issue, an agricultural technology company developed a Crop Recommendation System (CRS) powered by machine learning algorithms.