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AI applications in agriculture
AI applications in agriculture

July 4, 2021

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The primary goal of Artificial intelligence is to build machines that can mimic and execute simple to complex tasks identical to human intelligence or even better than them. Their basic procedures include learning ,reasoning and perception.

 

These intelligent machines are taking over almost all sectors of industry, agriculture being one of them. Agriculture is one of the most essential industries in the world. With the world population increasing ,water and food resource scarcity continue to be insufficient .This demands an increase in the overall agricultural production.AI can help solve this problem. Associating AI into agriculture can increase its efficiency and be more productive. The most traditional methods of farming include preparing soil, sowing seed, irrigation and fertilizing, harvesting and storage.

However ,these traditional methods come with flaws. Drastic change in climate due to global warming and pollution have made it hard for farmers to decide the right climate to grow the crop. Along with this, deficiency in a specific nutrient in soil and poor weed control can also result in low yields.Technologies using artificial intelligence can help yield healthier crops, control pests, monitor nutrients in soil , and growing conditions thus correlating data for farmers.

Weather forecasting can solve the confusion created due to the change in climatic conditions. It can help farmers plan the type of crop that can be grown in that particular time frame. Use of quality monitoring systems for soil and crops can gradually increase the yield and quality of the crop production.

Many machine learning based companies are helping farmers across the globe in soil analysis which can result in higher productivity ensuring good soil and crop health. Drones use image recognition technologies. The data collected by these drones are later analyzed. Chatbots can interact with users by giving necessary advice to their queries and also provide recommendations to them.

 

AI predictions help farmers learn and implement crop rotations, pest control ,water and nutrition management appropriately. It will also evaluate conditions like temperature, precipitation with sensors for optimum crop production. Agricultural robots can be trained for weed and pest control and detection to harvest crops much faster than humans.

 

Thus Artificial Intelligence-based companies and services by training data for agriculture, is not only helping farmers to automate their farming but also aims for higher crop yield and better quality with lesser resources ,guiding the world to handle food production issues for the rising population.

 


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