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Use of artificial intelligence in agriculture

  • Amruta Bhaskar
  • Dec 16, 2019
  • 0 comment(s)

Artificial intelligence technology is used by many different sectors to improve productivity and efficiency. AI solutions are helped to overcome the traditional challenges in every field. Some of the sectors that include AI applications are finance, transport, healthcare and as well as in agriculture.  AI is serving farmers by helping them to increase their efficiency and reduce environmental hostile impacts. Adaptation of AI technology is aiding to avoid and manage unexpected natural conditions. Worldwide, agriculture is US$ 5 Trillion industries and now that industry is turning to AI technologies.

The best measure of implementing AI in agriculture is that it won’t eliminate the jobs of human farmers instead it will improve their processes. It is even assisting farmers to know the data insights in agriculture such as temperature, precipitation, wind speed, and solar radiation. AI has strengthened the growth in agro-based business to run more effectively. AI solutions have the possibilities to solve the challenges framers face such as, climate variation, an infestation of pests and weeds that reduce yields.

In recent times a large number of start-ups are adapting AI-enabled approach to develop the efficiency of agriculture production. The Market study report stated that the global Artificial Intelligence in Agriculture market size is expected to reach around US$ 1550 million by the end of 2025. With the help of AI in agriculture, the businesses are processing the agriculture data to reduce the adverse outcomes.

To conduct or monitor possible defects and nutrient deficiencies in the soil, AI is been utilized in an efficient way. AI deep learning application helps to develop the analysis of flora patterns in agriculture. Such AI-enabled applications are helpful in understanding soil defects, plant pests, and diseases.

AI is used for farmers to manage weeds by implementing computer vision, robotics and machine learning. By using AI, data are gathered to keep a check on the weed. This helps the farmers to spray chemicals on them directly. As a result, it reduces herbicide usage in the field compared to the volume of chemicals normally sprayed.

AI-enabled agriculture robots help farmers to protect their crops from weeds by many possible ways which also helps to overcome the labor challenge. In agriculture, robots are able to harvest crops at a higher volume and at a faster speed compared to human laborers.

According to the International Data Corporation (IDC), global spending on Artificial Intelligence will increase by over 50% and will reach almost US$ 58 Billion by the year 2021. Artificial intelligence courses help people to understand the sophisticated and futuristic aspect of AI in Agriculture. This has created a huge interest in the people who are looking for ways to implement this technology in their gardening and farming.

Additionally, farmers are beginning to turn to chatbox for assistance. Chatbox helps to answers a variety of questions and provide advice and recommendations on specific farm problems. Chatbox is already being used in numerous other industries with great success.

Nowadays, AI-powered technologies are implemented to solve several industrial applications. Through the use of AI and cognitive technologies, farms across the world are able to run more efficiently, with the same workforce than before while still meeting the world’s ever-increasing food needs. It is helping farmers to monitor their crops without entering into the farm personally. Many startups and enterprises are looking forward to AI development in agriculture. It is redefining the traditional pattern of agriculture. The future of AI in agriculture is way ahead in offering a complete transformation with advanced approaches.


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