Advancement in Agronomy Using Machine Learning Approach

Agronomy is the science of dealing with the distribution, management, and productivity of agricultural land. When living in a country where agriculture is the heart of the economy and people’s lifestyle, agronomy and the development in agronomy becomes a major responsibility of IT sectors to seek enhancement in existing technologies. All the factors of agronomy are so much dependent on rainfall in India, where unpredictability of monsoon and uneven distribution of rainfall leaves us with the next best option - Irrigation! The key aspect of this paper is to select best suitable solutions from the major irrigation systems namely drip irrigation, surface irrigation, sprinkler irrigation and sub-surface irrigation. Machine learning comes to rescue as the model is trained with thousands of samples of data along with the best irrigation system suitable for respective location. The location of a farm or field is selected using illustrator nominator wherein appropriate crop recommendation report can be generated to improve the productivity using machine learning algorithms. Thus, machine learning is on its way to help the farmers to adapt suitable system according to their requirements.