Affiliation:
1. An Giang University - Vietnam National University, Vietnam
2. Haldia Institute of Technology, India
Abstract
Information that is current and accurate is essential for resource optimization. Sensors in agriculture identify the soil's nutrients, moisture, organic matter, and clay. Different technologies are used to link sensors located in diverse places. Without a connection to the internet, its data will be spontaneously communicated to the cloud. Utilizing WiFi, LPWAN, LoRa, Bluetooth, and other technologies, sensors broadcast data to nearby local base stations at varying distances before sending it to a distant central base station (CBS). It has a good environmental effect while lowering agricultural costs related to labor, water use, and other expenses. Information is more exact when it is integrated with additional data, such as weather predictions. IoT is fueled by the fusion of technologies like sensors, cloud computing, automation, etc. without human contact. This chapter's goal is to develop an embedded system for soil monitoring and irrigation that will replace manual field inspection with a mobile application.
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The Effects of Socioeconomic Status, Geological, Engineering, and Climate Factors on Machine Learning-Dependent Forecast of Water Pipe Failure;Advances in Computational Intelligence and Robotics;2024-07-22
2. The Circular Economy;Practice, Progress, and Proficiency in Sustainability;2024-06-28
3. Central Load Balancing Policy Over Virtual Machines on Cloud;Advances in Marketing, Customer Relationship Management, and E-Services;2024-05-17
4. Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction;Advances in Computational Intelligence and Robotics;2024-04-26
5. Prediction of Water Quality Using Machine Learning;Advances in Computational Intelligence and Robotics;2024-04-26