Improve the Design Intelligence through Wireless Networks to Increase Agricultural Production in Provincial Countries
Open Access
- 29 March 2022
- journal article
- research article
- Published by Hindawi Limited in Wireless Communications and Mobile Computing
- Vol. 2022, 1-10
- https://doi.org/10.1155/2022/5991783
Abstract
The agricultural field requires hard work and enough human resources to complete any agriculture tasks. Apart from these requirements, maintenance costs and services of the agricultural equipment have also to be considered. Therefore, according to the agricultural work essentials, the workforce has to be increased, and productivity can also be improved. However, it is not easy to find a human resource under certain rash circumstances. By then, the productivity of agriculture may get affected; to overcome this issue, specific intelligent systems can be introduced to manage the productivity of the provincial states of the country. According to the requirement of agricultural productivity, intelligent sensors can be fixed in the agricultural land to monitor the status of the land and crops to take precautionary actions. To implement this intelligent technology in this research, wireless sensors are fixed to collect data and perform analysis with the aid of intelligent decision support systems. The study results proved that the provincial countries have obtained increased agricultural production from 2014 to 2020.Keywords
This publication has 14 references indexed in Scilit:
- The Model of E-Commerce Going to the Countryside Promoting the Development of Rural Characteristic Economy Based on Big Data AnalysisJournal of Physics: Conference Series, 2020
- Input-output Analysis of Agricultural Economic Benefits Based on Big Data and Artificial IntelligenceJournal of Physics: Conference Series, 2020
- Rural E-commerce Development Under the Background of Big DataPublished by Springer Science and Business Media LLC ,2020
- Big Data Analysis for Sustainable Agriculture on a Geospatial Cloud FrameworkFrontiers in Sustainable Food Systems, 2019
- Key questions on the use of big data in farming: An activity theory approachNJAS: Impact in Agricultural and Life Sciences, 2019
- Is big data for big farming or for everyone? Perceptions in the Australian grains industryAgronomy for Sustainable Development, 2018
- Big-data analytics framework for incorporating smallholders in sustainable palm oil productionProduction Planning & Control, 2017
- Big Data in Smart Farming – A reviewAgricultural Systems, 2017
- Research on the architecture and strategies of yunnan rural human resources smart development in the era of big dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectivesComputers & Industrial Engineering, 2016