As Global population is increasing very rapidly, the demand of food and employment also increases. The traditional methods of farming are not sufficient to fulfill the increasing demand of food and employment. In India agriculture contributes 18% - 23% GDP of the country as well as provides near about 60% employment. To overcome the problem precision agriculture is necessary. The researchers are finding various techniques to analyzed large amount of agricultural data for sustainability in agriculture. Machine learning is one of best technique. The knowledge extracted using machine learning technique is useful in decision making. In agriculture Machine learning techniques are use to monitor crops and detect various diseases of plants, to develop smart irrigation system, weed detection, suggest the best suitable crop for plantation according to the soil type and climatic condition, predict the crop yield, supply chain management, suggest pesticides to protect yield from diseases, as well as fertilizer to increase the production of the crop, predict commodity price and the crop yield etc. Implementation of machine learning techniques in agriculture used to improves the quality and increase the quantity of the crop production. This paper studies various applications of Machine Learning Techniques in Agriculture field Strengthening Industry.