How IoT-Enabled Smart Farming Transforms the Agriculture Sector

FREMONT, CA: Not only does IoT-enabled smart farming contribute to the modernization of conventional farming methods, but it also promotes alternative agriculture methods such as organic farming, family farming (complex or small spaces, unique cattle or cultures, preservation of rare or high-quality varieties, and so on), and highly transparent farming.

IoT-enabled smart farming also improves the environment. It can aid farmers in increasing their water efficiency and optimising inputs and treatments.

The critical applications of IoT-enabled smart farming that are altering the agriculture sector are listed below.

Precision Farming: Precision farming refers to anything that makes farming more accurate and controlled, especially in animal husbandry and agricultural production.

This farming method relies heavily on information technology, sensors, robotics, automated vehicles, control systems, automated hardware, and variable rate technology.

Precision farming uses high-speed internet, mobile devices, and low-cost satellites (for images and positioning).

Agricultural Drones: Drones for agriculture technology has grown tremendously and at a breakneck pace in recent years. Drones used in agriculture are a great example of this trend. Drones are being used to improve a range of agricultural operations.

Drones, both ground-based and aerial, are used in agriculture to assess crop health, monitor crops, apply pesticides, irrigate, plant, and conduct field analysis. These drones gather multispectral, thermal, and visual imagery while in flight.

Numerous advantages of drones include crop health imaging, integrated GIS mapping, time savings, ease of use, and enhanced agricultural output. We can transform agriculture into a high-tech sector by combining drone technology with solid strategy and planning based on real-time data collection.

In addition to plant health indices, agricultural drone data can be used to predict crop yields, measure canopy cover, scouting reports, stockpile size and nitrogen content, and map weed pressure.

Livestock Monitoring: Large farm owners employ wireless IoT applications to track their cattle's location, health, and well-being. This information enables them to detect sick animals and, in the future, to isolate them from the herd, care for them, and also aid in disease management among other animals. Additionally, it assists owners in reducing labour costs by enabling them to find their cattle via IoT-based sensors.