How IoT will contribute to agricultural growth in 2020

Agriculture is the backbone of the world’s food supply. Although often taken for granted, most of us would go hungry without the food produced by conventional farms. That said, agriculture will face many challenges in 2020. Everything from environmental issues and land use to financing can hinder productive returns. This is where IoT-based applications come in. While most of us equate IoT to our Alexa smart and portable devices, IoT actually plays a major role in ‘Agriculture. IoT-based farming can offer significant benefits, including efficient water use, optimized inputs and better treatments. The IoT will help grow agriculture in modern times as it continues to revolutionize the industry in the future. Let’s see how the IoT will effectively contribute to developing agricultural practices in the New Year.

Adapting precision farming practices

Precision farming or precision farming is simply what makes a more controlled farming practice, whether for raising livestock or increasing crop yields. The overall objective is the total accuracy of the decisions. It is a farm management approach that uses IT and elements such as robotics, autonomous vehicles, variable rate technology, control systems and automated equipment. Thanks to the adoption of IoT elements, precision farming is used worldwide. As a result, programs like CropMetrics exist to precisely manage aspects of agriculture such as irrigation and even food.

Farm and agricultural drones

When it comes to IoT applications in agriculture, agricultural or agricultural drones are absolutely essential. In agriculture, drones are used to effectively improve necessary farming practices. Land and air drones are used to assess crop health, facilitate irrigation, perform crop monitoring, perform crop sprays and provide an analysis of land / soil properties. The main advantages of drones include integrated GIS mapping, time saving capabilities (otherwise farmers would have to do it themselves), increased yields and more dynamic crop health. The data collected by these drones considerably helps the agricultural industry.

Livestock surveillance capabilities

One of the main ways in which IoT changes agriculture in 2020 is the ability to collect data about the health, location and general welfare of livestock, such as livestock. This data is essential to identify sick animals and separate them from the herd, thereby ensuring the safety of other members of the herd. In addition, IoT sensors can help farmers locate lost cattle or keep an eye on where a particular herd is grazing that day. Before IoT, none of this was so simple. Cow monitoring solutions can even help herd owners observe pregnant cows or those about to give birth. A sensor-powered battery is expelled as soon as the cow’s water breaks. This information is then sent to the breeder so that he can assist the cow in the birthing process. This eliminates much of the risk associated with the birth of a calf.

Tech-Savvy smart greenhouses

Due to climate change, greenhouse cultivation is becoming an essential means of maintaining high yields and ensuring a continuous food supply. Smart greenhouses powered by IoT control all environmental parameters by manual intervention. The technology can intelligently monitor / control the climate through sensors that measure the exact environmental factors depending on the crops grown. The system is remotely accessible when connected to IoT devices, providing farmers with a level of control never seen before. As weather and climate conditions become more unpredictable, smart greenhouses are a way for farmers to limit losses and keep profits high.

The Takeaway

Thanks to the IoT, farming becomes a more streamlined and precise practice which allows farmers a certain degree of control over livestock and crops. Costs are reduced, monitoring is precise and farmers no longer have to rely on their own judgments when it comes to things like sick animals or crop health. In 2020 and beyond, the IoT will continue to have a positive impact on agriculture.

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