3 Ways the IoT Revolutionizes Farming


Farming is the basis for many flourishing industries around the globe. Hence, farmers use high-tech agriculture techniques to advance manufacturing output and exploit sensors and other IoT technologies to create a more well-organized operation. The first thing that pops into our head when we ponder the Internet of Things applications is not growing crops or raising livestock. Up till now, the smart agriculture market is expected to grow from $5.18 billion in 2016 to $11.23 billion by 2022, according to a survey. Farms are becoming more linked as they have realized the prospective of IoT technologies in aiding them to diminish operation costs while still attaining better consequences. Instances include higher crops, lower livestock losses, and less water usage. To help advance farm performance, IoT technology breadwinners carry on to grow platforms that can sense, process, and connect accurately measured environmental data. Behind these IoT platforms are various technologies that account for sense, microcontrollers, transmitters, energy harvesting, LED lights, drones, and more.

Revolutionizes Farming

The three ways in which IOT revolutionizes Farming are as follows-

Livestock monitoring

Here, the IoT allows the entire livestock environment to be constantly monitored. If any situation falls outside a pre-set constraint, the user is forewarned by phone, text, or email. More than a few systems comprising some integrated monitoring system elements are now accessible commercially for swine, cattle, broiler, and milk production.


Precision farming

With rugged and precise IoT sensors, farmers can collect weather, soil, air quality, and crop maturity data, enabling them to make smarter decisions. For instance, a company may use data and sensor devices to assist farmers in a better understanding of water utilization across their fields. The company also notifies farmers about the amount of fertilizer and pesticide required by each patch at specific times, automatically handling daily decisions for farmers. Algorithms and pattern recognition technology are used to investigate the farmland and regulate the various elevations (where they are hilly or flat).

Autonomous tractors

Fully autonomous tractors circumnavigate using lasers that spring back signals off several mobile transponders around the field. In contrast, with managed tractors, a tractor is driven by a person but followed by autonomous machinery. That machinery duplicates the steering and speed of the first tractor. This type of tractor benefits from a drop in human faults when performing tasks like spraying insecticide.

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