A Review on Smart Irrigation and Crop Prediction System

8 Pages Posted: 14 Jun 2019 Last revised: 17 Apr 2019

See all articles by Shivangi Pandey

Shivangi Pandey

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering

Aditi Shrivastava

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering

Ruchit Vijay

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering

Sachin Bhandari

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering

Date Written: February 24, 2019

Abstract

According to the Economic Survey 2017-18 more than 50% of the total workforce in India is employed by the Agricultural sector and it contributes around 17-18% of the country's GDP. Despite of the mechanization in the agricultural sector we need to come up with improved agricultural techniques to improve crop production. Improper irrigation management practices result in lower food productions and sub optimal crop yields. Also, there is need to help the farmers determine the most suitable crop to be sown. One way to overcome these problems is to use Internet of Things in the agricultural sector. IOT is the networking of sensors, network objects and devices to automate everyday tasks and perform actions depending on the state of the surrounding. The aim of this work is to review the developments in the field of agriculture to automate the irrigation process as well as select the best crop to be sown.

Suggested Citation

Pandey, Shivangi and Shrivastava, Aditi and Vijay, Ruchit and Bhandari, Sachin, A Review on Smart Irrigation and Crop Prediction System (February 24, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3358108 or http://dx.doi.org/10.2139/ssrn.3358108

Shivangi Pandey (Contact Author)

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering ( email )

India

Aditi Shrivastava

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering ( email )

India

Ruchit Vijay

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering ( email )

India

Sachin Bhandari

SVKM's Narsee Monjee Institute of Management Studies (NMIMS) - Department of Computer Engineering ( email )

India

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