Publication

Abstract : IoT is converting the agriculture sector by permitting peasants to gather and analyze data in real time to improve efficiency, productivity, and profitability. IoT equipment and detectors are used to monitor various aspects of agricultural operations, including soil moisture, temperature, nutrient levels, and weather conditions. By collecting and analyzing this data, farmers can make informed decisions approximately when and how to water crops, apply plant food, and make other adjustments to optimize crop yields. Cloud computing enables farmers to reserve and process massive quantities of information, which is crucial in agriculture where data can originate from different sources, such as sensors, and IoT devices. Smart farming is an information-informed agricultural strategy that employs information technologies to maximize the efficiency, productivity and sustainability of agricultural processes. This paper exhibits a survey of the contemporary advances in IoT in Agriculture Applications. Furthermore, the paper outlines the strengths and weaknesses of each methods and issues that remain to be resolved in the area. The primary findings of the study show that from 100 articles. IoT, Cloud Computing, Smart Farming, Blockchain, Precision Agriculture, Machine Learning, and Wireless Sensor Networks are the topics reviewed for the survey.