Use of Artificial Intelligence in Agriculture
Use of Artificial Intelligence in Agriculture

Artificial Intelligence is in a way too wide to understand for a common man. Still farmers are receiving text messages telling them when to sow the seeds. Farmers in Madhya Pradesh and Telangana receive automated voice calls informing them whether their crops are at risk of pest attack or not. This is what is known as Digital Agriculture. Technologies like Artificial Intelligence, Machine Learning, Satellite Imagery and Advanced Analytics combines to provide small farmers to increase their income through higher crop yield and greater price control.

Benefits of using AI in agriculture are as follows-

Use of IoT to its best

IoT With the help of IBM Watson’ machine learning program, we can utilize drones to have a track of and calculation of data such as historic weather data, social media posts, research notes, soil information, market place data, images, etc. The drones would also monitor the crops and thus, facilitate the farmers to easily identify the area of concern. This would help the organizations, farmers and research institutes with richer insights and recommendations to take action and improve yields.

Skills and Workforce

skills With growing urbanisation, people prefer to live in big cities making a gap for farm workers. Cognitive technologies will help address this challenge by easing farmers’ work. Many operations will be done remotely and processes will be automated, thus, eliminate the need for several other workers. Farmers will be able to take more informed and rapid decisions.

Chatbots for Farmers

chatbots AI with the help of machine learning could facilitate the farmers with virtual assistants who could help them in real time. They could be able to interact with the farmers in their native language so that they can understand them well. This will educate the farmers at any point of time. Farmers could be leveraged to take advice and recommendations from agriculture pro chatbots.

Price Forecast

price Microsoft has developed a price forecasting model which predicts the future commodity arrival ad their corresponding prices. This model uses the IoT devices and remote sensing data from geo-satellite areas to predict the historical data, other information like soil information, crop fertility, etc to depict their prices in the market.

AI will definitely bring the digital agriculture revolution. Although the road ahead is not very smooth. We have to calculate the feasibility, sustainability and efficiency meeting the world’s food needs. However, it would be interesting to see how the farmers, agri-businessmen and the consumers will utilize the power of Artificial Intelligence to shape the future of this industry.