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Agricultural Internet of Things: From Precision Agriculture to Drone Monitoring

Author:QINSUN Released in:2024-02 Click:21

By providing real-time monitoring and remote control of devices, the Internet of Things (IoT) has the potential to change our way of life and disrupt every industry. In the world we live in, shoes are intelligent, and shopping can also be done through speech. Therefore, it is not surprising that IoT devices have entered the agricultural world, providing a more intelligent way to manage livestock and monitor crop growth.

The world population is growing and there are no signs of slowing down. As the number of people in need of feeding continues to increase, adopting the Internet of Things in agriculture is a reasonable solution to meet the demand. For many years, agriculture has been associated with arduous labor and a complete dependence on weather and other uncontrollable parameters. In the past few years, the industry has become increasingly intelligent and technology driven. The emergence of drones in agriculture and the increasing popularity of intelligent agriculture are several examples. According to data from Allied Market Research, the agricultural IoT market is expected to reach $48.71 billion by 2025, with a compound annual growth rate of 14.7% from 2018 to 2025.

The application of the Internet of Things in agriculture

Precision agriculture: The rapid popularization of precision agriculture based on the Internet of Things provides farmers with various tools to optimize each farming task. These processes focus on increasing the number of livestock and increasing crop yields, while improving profitability by reducing traditional inputs such as water, fertilizers, herbicides, and insecticides.

Intensive farming utilizes advanced technologies such as intelligent sensors, automated vehicles, robotics, and control systems to reduce usage and increase yield. For example, GPS devices installed on tractors can help farmers grow crops in a more favorable way and utilize every space in their fields, saving time and fuel. In addition, intelligent sensors installed across fields can collect valuable data on soil, weather, pests and diseases, and hydration conditions, and can analyze this information on a centralized platform to make wise and informed farming decisions.

More importantly, precision agriculture involves the use of IoT controlled lasers to turn on and off water, greatly reducing water waste. This method does indeed bring benefits to agriculture, as it enables companies to use resources wisely and makes agriculture more sustainable and profitable.

Drone monitoring: Agricultural drones are a widely used example in the agricultural Internet of Things. Drones are no longer limited to military and one mile delivery; Nowadays, agriculture has become a major customer of advanced drone technology. Ground and aerial unmanned aerial vehicles are rapidly being incorporated into agriculture to assess crop health and conduct planting and irrigation analysis.

Drones are popular due to their ease of use. They can save time and, if combined with GIS mapping, can help increase production. In short, drones are a popular way of agricultural high-tech transformation through real-time data collection and processing. For example, farmers can choose altitude and ground resolution to determine which part of the field they want to collect data from. Therefore, they can improve sowing area and gain insights, such as yield prediction and plant height.

Livestock monitoring: IoT devices can help farmers collect information about livestock, including their location, health, and well-being. In this way, farmers can separate sick animals from their herds and prevent the spread of diseases. By using IoT devices, farmers can find livestock and reduce labor costs. More importantly, there are sensors that can determine whether a pregnant cow is about to give birth, as the sensors will notify the staff when the water ruptures. The smart collar tag is now widely used to monitor animal health and gather insights on the nutrition of each cow. It is possible to analyze the collected data and continuously monitor the position of livestock herds.