System and method for classification of crops using multi-class machine learningg techniques

A computer implemented analytical platform for classification and prediction of different vegetation in a geographical area, the computer implemented analytical platform comprising of:

• a data collection module configured to aggregate data from a data source;
• an image processing module to convert an image data, wherein each pixel of the image data has a reflectance value, the reflectance values being stored as a matrix of numbers, wherein the matrix of numbers is utilised by a machine learning artificial intelligence algorithm;
• a feature engineering module configured to map a geospatial data for the geographical area;
• an agricultural analytical engine implementing the machine learning algorithms, which are trained using a test dataset, wherein the test data includes selection of a set of features selected by the feature engineering module to optimise the set goals;
• a recommendation module for prediction and classification based on the set goals, in the form of a classified matric of numbers;
• and
• a resynthesis module to convert the classified matrix of numbers into an image and assign a geospatial projection to the image as per set goals.