Prediction of Agricultural factors using Remote Sensing data and GIS in the context of Agriculture 4.0: An Analytical Review

Vol-4 | Issue-5 | May 2019 | Published Online: 25 May 2019    PDF ( 428 KB )
Author(s)
Soumitra Joshi 1; Dr. Babasaheb R. Sangale 2

1PhD Research Scholar, Savitribai Phule Pune University, Maharashtra (India)

2Principal, Pratibha College of Commerce & Computer Studies, Pune, Maharashtra (India)

Abstract

The current research study is related to farming 4.0 and its role in today’s digital world. The agriculture 4.0 has revolutionized the farming processes that are used by the farmers for crop cultivation process. It has also enhanced their productivity levels to maximum levels and provided protection to environmental measures. The agriculture 4.0 provides various tools like remote sensing, Cyber-security, cloud computing, big data, digital twins, GIS to the farmers through which they are able to implement water saving procedures, produce high-quality yield, and adopt the non-polluting farming culture. It also helps the farmers to perform precision farming and adopt innovative methods of farming like vertical farming, hydroponics, greenhouse, and others. The present study aimed to determine the impact of Agriculture 4.0 using the concept of remote sensing data and GIS on the Indian Agriculture Industry. For that, a study on the existing models and theoretical concepts were studied based on the related theories and existing theoretical models.

Keywords
Farming 4.0, IoT, Digitalization, agriculture 4.0, industry 4.0, supply chain, remote sensing, GIS, urban farming, agriculture revolution..
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