System And Method For Determining One Or More Agri Measures

Abstract: ABSTRACT METHODS AND SYSTEMS FOR DETERMINING ONE OR MORE AGRI-MEASURES The present invention relates to an agricultural intelligence system based on multi modal neural network prediction model with deep learning for determining one or more agri- measures and the method thereof. The system comprises: a user device, a plurality of database systems, a prediction model comprising of one or more processors and a memory in communication with the processors. The processor is configured to implement the method disclosed by the embodiments. The method comprises receiving one or more inputs in a form of crop related data, retrieving a one or more input data from a at least one of the databases, retrieving a plurality of environmental data and field condition data which includes field related data, packages of practice and soil data, identifying a subset of the plurality of input data associated with the packages of practice, determining a plurality of agri-measures data based on the subset of the plurality of input data via multi modal neural network based prediction model and providing the predicted results and recommendations based on plurality of agri-measures. The prediction model consists of learning module, Exploratory Data Analysis (EDA) module and prediction module. It under goes continuous learning by training the prediction model via neural network based layered architecture consisting of many hidden layers forming complex network that learns with a feedback mechanism. REFER TO FIG. 6

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