Open AccessINTERNET OF THINGS (IOT) FOR SMART PRECISION FARMING AND AGRICULTURAL SYSTEMS PRODUCTIVITY: A REVIEW
Author(s) -
Lalit Kumar,
Prasant Ahlawat,
Pradeep Rajput,
Rahul Indar Navsare,
Pradeep Kumar Singh
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v05i09.022
Subject(s) - agriculture , computer science , cloud computing , productivity , precision agriculture , internet of things , analytics , computer security , data science , ecology , biology , economics , macroeconomics , operating system
The Internet of Things (IoT) is a promisingtechnology which offers effective and reliable solutions formulti-domain modernization. In order to automaticallymanage and track agricultural farms with minimal humanintervention, IoT-based solutions are being created. Thereare several aspects of innovations involved in the field ofIoT in agriculture in the review paper. It describes the keycomponents of precision farming based on IoT. A detaileddiscussion on network technologies used in IoT-basedagriculture, including network architecture and layers,network topologies and protocols, was presented. Inaddition, the relation of agricultural systems based on IoTwith related technologies like cloud computing, storage ofbig data and analytics was also presented. Furthermore,protection concerns have been illustrated in IoTagriculture. A list of applications based on smart phonesand sensors built for various aspects of farm managementhas also been presented. In addition, the introduction ofprecise agriculture, which is an alternative to futureagriculture, allows for the prediction of supply anddemand by means of convergence technology; real-timemonitoring and quality maintenance over the life cycle ofagricultural products. To increase the productivity of theirday-to-day jobs, farmers have already begun to employsome high-tech farming techniques and technologies.Sensors installed in fields, for instance, allow farmers toobtain detailed maps of both the area's topography andresources, as well as variables such as soil acidity andtemperature.To predict weather conditions in the coming days andweeks, they can also access climate forecasts. Farmers canremotely track their equipment, crops, and livestock usingtheir smart phones, as well as collect stats on their feedingand producing livestock. They can also use this technologyfor their crops and livestock to run statistical predictions.And drones have become an invaluable instrument forfarmers to sur