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Application of GIS and Big Data Analytics in Agribusiness

Updated: Feb 27, 2020

“The world doesn’t need any more engineers. We didn’t run out of planes and television sets…we ran out of food.”- INTERSTELLAR (Movie)                                                                 Risk and uncertainty are ubiquitous in agriculture. There are numerous sources of risk in Agri-business such as uncertainties in weather, unpredictable and uncertain nature of biological processes, the pronounced seasonality of production and market cycles, the geographical reach, scope and separation of producers and end consumers of agricultural products. Managing agricultural risk is of particular importance considering the subsistence nature of cultivation in India and smallholder farmers, who are usually more vulnerable because of low adaptive capacity.

The objective of this project is to apply GIS software package and GIS models to Agribusiness Industry and to identify the need of aggregator such as big data analytic for strategic management. The Agricultural Supply Chain comprises of host of interrelated activities from monitoring soil health, water, and nutrients to managing agricultural waste. The major elements of this ecosystem are ‘On Farm Production’, Soil Health, Water, Nutrients, Pests/Control, Energy, Processing, Inspection, Transportation, Storage Retailers, Inventory, Food Safety, Waste and Smart Services.

The pain area where GIS solution, Remote Sensing and Big Data Analytics can help is by;

  • Predicting Crop yield for all crop types (Rabi, Khareef) Block wise, District-wise and State-wise.

  • Identify clusters (land areas heterogeneous within) for cluster analysis of input data like weather data, soil types, farmers’ input using hand held devices

  • Integration of all input services for live update of big data repository

  • Usage of remote sensing imageries to track changes on the surface

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