3 Ways the IoT Revolutionizes Farming


Farming is the basis for many flourishing industries around the globe. Hence it goes without saying that farmers use high-tech agriculture techniques to advance manufacture output, and exploit sensors and other IoT technologies to create a more well-organized operation. The first thing that pops in our head when we ponder about 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 started to realize the prospective of IoT technologies in aiding them diminish operation cost though still attaining better consequences. Instances consist of 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 is an assortment of technologies that takes account of sensing, microcontrollers, transmitters, energy harvesting, LED lights, drones, and more.

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

  1. Livestock monitoring

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


  1. Precision farming

With rugged and precise IoT sensors, farmers can collect data on weather, soil, air quality, and crop maturity, enabling them to make smarter decisions. For instance, a company may end up using data and sensor devices to assist farmers for a better understanding of water utilisation 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 put into use to investigate the farmland and regulate the various elevations (where they are hilly or flat).

  1. Autonomous tractors

Full autonomous tractors circumnavigate using lasers that spring back signals off several mobile transponders situated around the field. With managed tractors, in contrast, 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 offers the benefit of a drop in human faults when performance tasks like spraying insecticide.

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