Applications of Artificial Intelligence in Agriculture and Farming

Posted By : Anubhav Garg | 29-May-2020

 

Artificial Intelligence is a discipline that can empower machines to execute tasks in real-time situations and cognitive processing as the human mind. Interestingly, applications of artificial intelligence in agriculture guides farmers through the process of growing, sowing, harvesting, and sale of produce. A plethora of artificial intelligence services such as recommendation engines, predictive analytics, computer vision, coupled with IoT devices can significantly boost agricultural productivity. 

 

Benefits of Artificial Intelligence in Agriculture and Farming

 

  • In the Agriculture Market, AI technology has been segmented for water requirements through auto-irrigation. 
  • It also gives the signal to farmers through to manage robotics, crop, soil management, and animal husbandry. 
  • AI’s computer vision technology can help farmers to analyze soil and yield conditions, leading to the generation of actionable insights. The combination of deep learning and computer vision can significantly boost agricultural productivity by mapping analytics such as weather conditions, plant growth, temperature, the shelf life of crops, gaseous content, and more. 
  • AI makes it easily manage the demand and supply of the market, crop competitiveness, and regional crop planning and storing it very easily. 

 

 

AI and IoT for Agricultural Applications

 

1. Precision Farming Through Micro Sensors 

 

Precision farming can help those operations that require a keen eye, as farmers scan their crops for signs of disease and contamination. The technology is an application under machine learning development services can display stats remotely via a smartphone or similar device, allowing farmers to see instant alerts about what’s happening in their fields, whether it has to do with pests, disease, or something else.

 

2. Drone Operations

 

Crop Monitoring by using cameras and sensors embedded inside, the drones gather information about plants down to a single leaf.

 

 

3. IoT Sensors

 

By combining AI control solutions and IoT sensors, farmers can better protect crops from pests. At the same time, fewer chemicals enter the surrounding environment, including the soil underneath.

 

4. Predictive Analytics

 

With the help of AI, farm data like temperature, weather conditions, soil conditions, and soil usage can be effectively collected and analyzed to influence decision making on the farm which makes best possible crop suggestion before the season keeping the past data and other sensor, environment data in the view.

 

 

Conclusion

 

The agricultural sector is set to receive a facelift in organic farming and other aspects of safe farming with AI-driven precision farming techniques. Artificial intelligence is taking over the world one sector at a time, and there is a great promise on how it can bring effectiveness and ease to the highly labor-intensive agricultural processes.

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