Internet of Things in Precision Agriculture
(book excerpts)The Internet of Things (IoT) is a network of physical objects connected to the internet that can communicate with each other and the cloud. These objects, also known as “smart objects,” are equipped with sensors, software, and other technologies to collect data and respond to users. These devices measure many variables, such as soil moisture, temperature, humidity, light levels, and even the presence of specific nutrients. IoT enables connections between machines and humans on a broader scale, primarily facilitating real-time information sharing across independent networks. More specifically, the IoT is an intelligent global network allowing (1) interaction of devices capable of sensing, performing computation, and communicating with the internet; (2) processing and information exchange between devices, data centers, and users; and (3) creating several intelligent systems. The introduction of IoT in the agriculture sector has given rise to a new concept called “Precision Agriculture.” In agriculture, IoT technology has the potential not only to increase agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers’ income, and truly realize agricultural modernization and intelligence.
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Topics Within This Chapter:
- Benefits of IoT in Precision Agriculture
- IoT-Based Architecture for Precision Agriculture
- Perception Layer
- Network Layer
- Cloud Layer
- Edge and Fog Computing Layers
- Application Layer
- Key Technologies of the Agricultural IoT
- IoT Controllers in Agriculture
- IoT and Smart Sensors in Agriculture
- IoT and Wireless Communication Technologies in Agriculture
- IoT and Drones in Agriculture
- IoT and Artificial Intelligence in Agriculture
- IoT and Mobile App Technologies in Agriculture
- IoT and Robotics in Agriculture
- IoT and Block Chain Technology in Agriculture
- IoT and Cloud Computing in Agriculture
- Big Data in Precision Agriculture
- Big Data Analytics
- Machine Learning
- Challenges of Implementing Big Data in Agriculture
- IoT Applications in Precision Agriculture
- Precision Farming
- Soil Monitoring
- Smart Irrigation
- Intelligent Agricultural Machinery
- Greenhouse Environmental Contro
- Monitoring Weather Conditions
- Pest Detection and Control

