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IOT IN AGRICULTURE: 8 TECHNOLOGY USE CASES FOR SMART FARMING (AND CHALLENGES TO CONSIDER)

 

With the rise of Internet of Things (IoT) adoption, connected devices have permeated every aspect of our lives, from health and fitness, home automation, automotive and logistics to smart cities and IoT in industry.

Therefore, it goes without saying that IoT, connected devices and automation are finding their way into agriculture and as such significantly improving almost every aspect of it. How can you continue to trust horses and plows when self-driving cars and virtual reality are no longer science fiction but everyday fact?

Over the past decades, agriculture has undergone a series of technological transformations, becoming more industrialized and technology oriented. Through the use of various intelligent agricultural devices, farmers have gained better control over the process of raising livestock and farming, making it more predictable and more efficient.

This, coupled with growing consumer demand for agricultural products, has contributed to an increase in the spread of smart farming technologies around the world. In 2020, the market share of IoT in agriculture reached $5.6 billion.

In this article, we'll explore IoT use cases in agriculture and explore its benefits. So if you are planning to invest in smart agriculture or you are planning to create an IoT solution for agriculture, get started now.

What is smart agriculture? Definition and size of the market.

There are many ways to address modern agriculture. For example, AgriTech refers to the application of technology in agriculture in general.

Smart agriculture, on the other hand, is mainly used to refer to the application of IoT solutions in agriculture. So what is smart farming using IoT? By using IoT sensors to collect machine and environmental metrics, farmers can make informed decisions and improve virtually every aspect of their operations, from livestock to farming.

For example, by using smart agricultural sensors to monitor crop health, farmers can determine exactly how much pesticide and fertilizer to use to achieve optimal efficiency. The same applies to the definition of smart agriculture.

smart agriculture

While IoT for smart farming, as well as industrial IoT in general, is not as popular as consumer connected devices; however, the market is still very dynamic. The adoption of IoT solutions for agriculture is constantly growing. Namely, COVID-19 has had a positive impact on the share of IoT in the agricultural market. Supply chain disruptions and a shortage of skilled workers pushed the compound annual growth rate up to 9.9%. In fact, according to the latest data, the market share of smart frames will reach $6.2 billion by 2021.

At the same time, the global smart farm market is expected to triple to $15.3 billion by 2025 (up from just over $5 billion in 2016).

As the market is still evolving, there are still huge opportunities for companies to get involved. Creating IoT products for agriculture in the coming years can set you apart as a pioneer and thus help pave the way for success.

But why should you consider building an IoT application for agriculture in the first place?

Benefits of Smart Farming: How the Internet of Things Affects Agriculture

Technology and the Internet of Things have the potential to transform agriculture in many ways. Namely, there are 5 ways IoT can improve agriculture:

Data, tons of data collected by smart agricultural sensors, for example. weather conditions, soil quality, crop growth or livestock health. This data can be used to track the health of your business as a whole, as well as staff performance, team performance, and more.

Improved control over internal processes and, as a result, reduced production risks. Being able to predict the outcome of your production allows you to better plan product distribution. Knowing exactly how much harvest you are going to harvest, you can be sure that your products will not go unsold.

Benefits of smart farming

Manage costs and reduce waste through greater control over production. By being able to see any anomalies in crop growth or livestock health, you can reduce the risk of crop loss.

Improving business efficiency through