Artificial Intelligence (AI) with Agriculture Technologies

Original article can be found here (source): Artificial Intelligence on Medium

Artificial Intelligence (AI) with Agriculture Technologies

Just a few years ago, AgriTech made its appearance in the world. Since then it is rapidly expanding, making it one of the biggest investments, especially in emerging markets. AgriTech has put into use all of the latest and most advanced technologies, making it one of the fields with the highest rate of digital transformation. One of the technologies that can be utilized in this type of agriculture is, of course, artificial intelligence, as it can offer useful insights.

Why AgriTech is so important?

The population is rising at a rapid pace. Scientists believe that by 2050, the population will be around 9.8 billion all over the world. So, from this arises the need of producing enough food supply to cover the needs of everyone. AgriTech is challenging all of the current issues in agriculture, such as climate change, the degradation of fertile soil, the water shortage, and herbicide resistance. For this reason, the investments in AgriTech has seen a boom, especially in recent years. Many AgriTech companies have developed innovative tools to provide solutions for different issues.

Rising Trends in AgriTech

Smart Farming:
Smart farming encapsulates many of the new technologies to create the most advanced way of agriculture. It combines the use of sensors, automation, big data, and the Internet of Things. The aim is to control every aspect of crop management.

Vertical Farming:
Vertical farming helps the crops be protected by the harsh and ever-changing weather conditions. It is developed in a controlled environment, by planting the crops vertically. This type of farming makes use of sensors and automation.

Precision Farming:
This type of farming utilized data received from drones and satellites. This helps the farmers make decisions that will optimize the efficiency of the crops. For the success of precision farming, consulting of a machine learning system is critical.

BioTech:
BioTech and genetic engineering are asked to find solutions to the rising problems of the degradation of soil. The solution they recommend is by creating new seeds that are resistant to harsh environmental conditions.

Artificial Intelligence Applications in AgriTech:
All of AgriTech solutions can be benefited hugely by Artificial Intelligence and its ability to analyze data, provide decision support system and predictive analysis. In fact, Artificial Intelligence is essential for the success of AgriTech. Some more uses that machine learning finds in the new forms of agriculture are to be considered

Optimization of Fertilizers
An AI expert can collect historical data about the crop yields, as well as soil from the land. Then, the machine learning algorithm will analyze and combine all those data, highlighting the deficiencies of the soil that could potentially harm the crop. This way, fertilizers tailored to the needs of the particular crop will be created.

Precision Spraying of Weeds:
Herbicide resistance has become a big problem. Drones with sensors that implement an artificial intelligence system will be used to recognize the weeds and perform precision spraying.

Development of Robots for all the Operations of Agriculture:
Robotics offers many solutions to farmers. They can work faster and more efficiently. Their use will double, and in some cases triple, the yield of the crops.

AgriTech is bringing revolution to agriculture. With the use of artificial intelligence, it can create even better results, especially in emerging markets.