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How AI is driving Revolution in Agriculture

1/2/2020

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​How AI is driving Revolution in Agriculture
 
Agriculture and farming is one of the oldest and the most important key professions in the world. Humanity has covered a long way over the time to know how we farm and grow crops with the introduction of various technologies. The use of artificial Intelligence in agriculture helps the farmers to understand the data insights such as temperature, precipitation, wind speed, and solar radiation. The best part of implementing AI in agriculture is that it will not eliminate the jobs of human farmers rather it will improve their processes. AI provides the most efficient ways to produce harvest and sell essential crops.
  • Sometimes the cultivation becomes worse by sudden weather change, pesticide use, and monocropping. Farmers are using artificial Intelligence techniques to overcome these issues and grow food crops by fighting against diseases and pests.
  • AI drones and other robots equipped with computer vision are using in agriculture sector; they collect data points from the farm’s existing crops.
  • Through machine learning models and AI techniques, farmers can monitor crops’ nutrient levels, also protect them from unpredictable and damaging elements.
  • AI technology detects defective crops and improves the potential for healthy crop production.
  •  The development in Artificial Intelligence has strengthened agro-based business to run more efficiently. AI is used in applications such as automated machine adjustment for weather forecasting and disease or pest identification. It is assumed that AI can identify crops disease with 98% accuracy. AI technology is rapidly correcting the problems rise in agriculture sector, it recommends specific actions which are  required to overcome these problems. AI monitors the information to find solutions quickly.
  •  AI also helps farmers to monitor the fruit and vegetables by adjusting the light to accelerate production.
 
Forecasted Weather Data
AI in an advance way is helping the farmers to remain updated with the information related to weather forecasting. The forecasted data helps farmers to increase yield and profit without putting the crops to risk. The analysis of the data generated by AI technology helps the farmers to take the precautionary measures and make smart decisions on time.
 
Monitoring Crop and Soil
AI efficiently conducts and identifies possible defects and nutrient deficiencies in the soil. Due to image recognition approach, AI identifies possible defects through images captured by the camera.  AI and Deep Learning applications analyze flora patterns (*flora is the group of indigenous plants on an ecosystem of a geographical region) in agriculture. Such AI enabled applications are supportive in understanding soil defects, plant pests and diseases.
 
 
Decrease Pesticide Usage
Farmers can use AI to manage weeds by implementing computer vision, AI robotics and machine learning system.  AI gathers the data and finds the weeds. This reduces the usage of the chemicals spraying an entire field and saves the healthy crop. AI reduces herbicide usage in the field compared to the volume of chemical that is normally sprayed, as AI drone or AI spray system finds out weeds and automatically sprays only on weeds.
 
AI Agriculture Bots
Due to limited number of people adopting the farming profession, most farms are facing the challenge of a workforce shortage. Traditionally farms  need many workers, mostly seasonal, to harvest crops and keep farms productive. Now AI agriculture bots help farmers to find more reliable ways to help them in farming. This also helps to overcome the labor challenge. AI bots in the agriculture field can harvest the crops at a higher volume and faster pace than human laborers. Thus, Artificial Intelligence helps the farmers to grow  their crops and improve the farming systems.  
 
There is no doubt that these technologies are costly, despite the promise of AI in agriculture; the high cost of these techniques are not a true solution for many local and small-scale farmers. In future research and development is going on AI sector in high scale and we will see in near future, AI is being used in agriculture to improve the results and to get the most from every acre with a minimum cost.
 
 
 

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