Agriculture satisfies people's fundamental requirements, additionally considered as wellspring of work around the world.Agriculture is the supporting pillar of India from proving employment to sustaining economy and contributes in the Gross domestic product of India. Artificial Intelligence (AI) has helped further developing of horticulture activities in India.Machine Learning is a subset of AI that serving in limiting the Loss in the cultivating by giving rich suggestions and insight about the crop yields. Machine Learning (ML) techniques like big data, deep learning, and IoT-enabled devices have led to improve the yield and maximize the profit amount. This paper explains different types of agriculture domain where machine learning play a significant role. And presents the tabular study of machine learning applications in agriculture

Machine Learning, Soil Management, Water Management, Yield Prediction, Disease Detection.