Machine Learning based Crop Recommendation on a Cloud

Technology is now playing a critical role in many industries to overcome challenges and get better and optimum results. The farming industry in India significantly affects the country's economy. The agricultural sector continues to employ half of the nation's workforce .The natural circumstances of the environment have a big impact on the agriculture business, which creates a number of difficulties in actual farming operations. The majority of agricultural activities in the nation still use outdated methods, and technical advancement is modest. Effective technology can be applied to this industry to maximise yield and minimise problems. Farmers typically opt to plant crops based on their potential market value and financial returns. Most of the time, farmers are seen to sow the crop based on its market worth and potential financial gains rather than taking into account variables like soil conditions, sustainability, etc. Farmers and the soil's natural ecosystem can suffer as a result, as well. Modern technologies like machine learning have the potential to revolutionise these industries if they are applied correctly. In order to give farmers the most support possible in the area of crop recommendation, this paper will demonstrate an effective application of such technology.