Crop Yield Growth Using Internet of Things

Authors

  • Vikash Bhardwaj, Yang Jing, Rakesh Kumar Saini, Methaq Hadi Lafta, Eiman Abdelgabr Abdelsamie Allam, Nur Agus Salim

Keywords:

Crop yield prediction, IoT Applications, Decision support system, Smooth agriculture

Abstract

The Internet of Things (IoT) is an essential selection help device for harvest crop prophecy, along with subsidiary conclusions on what plants to cultivate and what to do at some stage in the growing season of the vegetation. Several Internet of things algorithms were carried out to assist research on predicting agricultural yield. In instruction to quote and synthesize the techniques and landscapes that have been used in this paper, a systematic process view is processed. utilized in crop yield prediction research. Cultivating creations is a fundamental work in mechanical and business. Farming is the most important foundation for the largest people in India to produce currency and carry obtainable their income. Precision farming is previously implemented in other fatherlands, but we unmoving the necessity to include the Internet of Things for improved manufacture of harvests. This paper describes the various Internet of Things techniques used in cultivation. In this paper we broke down the various typical IoT strategies utilized in the Farming division dependent on equipment and programming, hence starting the current trials for the creation of cultivating a lot more brilliant and efficient.

Published

2022-10-28

How to Cite

Vikash Bhardwaj, Yang Jing, Rakesh Kumar Saini, Methaq Hadi Lafta, Eiman Abdelgabr Abdelsamie Allam, Nur Agus Salim. (2022). Crop Yield Growth Using Internet of Things. Computer Integrated Manufacturing Systems, 28(10), 583–601. Retrieved from http://cims-journal.com/index.php/CN/article/view/126

Issue

Section

Articles