Data analytics for crop recommendation system

Abstract

Agriculture is becoming increasingly information and knowledge centric today. Due to the large rural population, agriculture plays a vital role in Indian economy. In the current scenario, a large number of data is generated from various sources like weather, climate, geo-spatial, crop production, consumed by stakeholders, location speci c crop disease in farm practice. But it is not used e ectively and optimally by the experts due to lack of information ow. Thus, to bridge the gap between users and information, data analytics can be one of the solution. Crop recommendation system model integrating with data analytics has been proposed. The system consist of components

web services, data analytics, and web application development. The RESTful weather and agriculture web services were built to interaction with various data sources. The web services are developed using JAX-RS in NetBeans IDE. Regression Analysis and Time Series Analysis are used to analyses the trends and pattern of agriculture Growth and Production. Crop Recommendation System is carried out for cotton crop in Ahmedabad District, Gujarat. The proto type is developed using MySQL, Java, NetBeans IDE, and RStudio