Smart and Efficient Value Chain in Agriculture by Digital Transformation A digitally enabled and tech driven transformation of the Agriculture value chain

Abstract

The digitalization of farming is expected to greatly help in addressing major sustainability challenges. A framework for the agricultural value chain has been developed, incorporating 512,678 datasets of various crops. The temperature and humidity data of 345,336 crops are being analyzed. The main goal of this paper is to improve the agricultural supply chain, particularly focusing on cotton farming. It will also provide a detailed analysis of the entire process of food production and distribution from farms. In simpler terms, the paper aims to understand how cotton is grown and distributed, and what challenges are faced along the way. Data from 201 different regions in India collected using sensors measuring moisture and temperature. This shows that cotton irrigation needs a moisture content of 62.9% and a temperature of 27.75°C. Data from 345336 datasets on Kharif and Rabi crops from different districts in India indicate that Kharif crops thrive with a humidity of 50-70% and a temperature of 25-35°C. Any deviation from this temperature range can affect crop growth.