How Artificial Intelligence is used In Agriculture

We all are surrounded by full of technology and most of the works are done by using tools and technology and without any physical effort, we able to complete our quality works on time. Technologies are used in almost every sector and one of these is the agriculture sector.

As the world, the population continues to grow and the land becomes more scarce. All people are totally depending on food and so it is very difficult for the farmer to produce more crops and increase productivity.

In an earlier time, farmers used traditional methods to do farming and they faced so many difficulties But now these things are changing and they improving their farming methods by using various tools and technologies and increasing their productivity. Nowadays most of the industries are adopting AI technologies to help yield healthy crops, control pests, monitor soil, and growing conditions, organize data for farmers and to enhance the wide variety of agricultural tasks cross the food supply chain.

Based on research, the Application of Artificial Intelligence in agriculture

Agricultural Robots: Artificial Intelligence allows agriculture bots to help farmers to find more effective ways to protect their crops from weeds that may be resistant to herbicide chemicals that intended to kill them and using computer vision tools helps monitor the weeds and spray them. In the field of agriculture, AI bots can Harvest crops at higher volume and faster pace than human workers. 

Monitoring Crop and soil: Using AI is an effective way to monitor potential soil defects and nutrients deficiencies. With the image recognization approach, AI identifies the possible defects of crops. AI applications are built to analyze flora patterns in agriculture. These applications are used by Artificial Intelligence to help in understanding the soil defects, plant pests, and diseases.

Predictive analysis: AI is being developed to track and predict the various environmental impact of crop yield such as changes in weather conditions. AI is helping the farmers in advance ways to keep updated with the data related to weather forecasting and help farmers to increase production and profits without risking the crop and help the farmers to take precautions. With the help of AI, a farmer can analyze the variety of things such as weather conditions, water usage, soil condition, temperature and based on that they are able to make smart decisions on time.

Drones: Drone technology is used to improve the yield of their crops. Drones provide a high quality of the image that can help to monitor crops while scanning and analyzing fields to collect the required agricultural data. With the help of drones, farmers can see their fields from the sky. This view shows the intending issue on farms such as irrigation problems, soil variation as well as pests and fungal infections, having identified this issue farmers can come up with solutions to improve crop management and production.

Driverless Tractors: It is a self Driving tractors that are programmed to reduce the workload and stress on farmers and performing a wide range of tasks on the farm. The sensor of the tractor can collect data on soil conditions and improved the maintenance of already planted crops and also detect the moisture level of the ground.

Advantage of Using Artificial Intelligence In Agriculture

Nowadays there are highly use of AI in agriculture sectors and it helps the farmers to increase the productivity of crops.

• The growth of AI technology has improved the agro-based industry to run more efficiently.
• With the help of AI, a farmer can analyze various things such as weather conditions, water usage, soil condition, temperature. By this analysis gathered data farmers can increase production and profits without risking the crop and help in taking precautions.
• AI can improve crop management practices and allow other tech companies to invest in algorithms that are becoming useful in agriculture.
• By implementing computer vision, robotics, and machine learning, the farmer can use AI to control weeds. Data are collected with the help of AI to keep a check on weeds which helps the farmer to spray chemicals only where the weeds are. This reduced the usage of chemicals spraying on the entire field. As a result, AI reduces herbicide usage compared to the amount of chemicals that usually sprayed in the entire fields.
• AI system is helping farmers to improve the harvest quality by identifying diseases in Plants, Pests, and poor plant nutrition on Farm. AI sensors detect the harmful weeds and then decides which herbicide is to apply within the right buffer zone. With the help of AI, farmers are improving the harvest quality and increasing the productivity of the crops.

Also Read: Fighting Coronavirus using Data Science, AI, and Machine Learning 

Conclusion

AI technology is highly used in different sectors to increase productivity and efficiency. AI in agriculture is helping the farmer in many ways and improve their efficiency of agricultural production. It helps the farmer to monitor the crops without the need to invigilate personally into the farms. AI redefines traditional farming practices. The future of AI in agriculture is the way ahead in revolutionary transformation with advanced approaches.

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