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AI in Agriculture: The Future of Farming
AI in Agriculture: The Future of Farming

July 1, 2021

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AI has the potential to change the future of agriculture, but we need to help farmers implement it the right way.

 

Introduction

Agriculture is by far, one of the oldest and most important industries in the world. The population of the world is increasing tremendously and with it increases the demand of food and employment. Thus, new automated methods are being introduced to satisfy the food requirements because traditional methods which were used by the farmers, are not sufficient to fulfil these requirements and also provides employment opportunities to billions of people worldwide.

Artificial intelligence technology is supporting different sectors to boost efficiency and productivity. AI in agriculture is helping farmers to reduce environmental hostile impacts and improve their efficiency. The agriculture industry strongly embraced AI into their practice to change the overall outcome.

 

Scope of AI in Agriculture

Artificial Intelligence (AI) techniques are widely used to optimize the production and operation processes in the fields of agriculture, food and bio-system engineering and also solve a variety of problems in the farming industry.

  • Fruit Picking Robot

Harvest Robotics uses a robot to pick strawberries. In just one single day, the robot can pick the same number of fruits as 30 human workers. The robot is equipped with camera systems that can do image recognition on the fruits to figure out if they're ready for picking or not.

  • Crop analysis by using drone and satellite imagery

Imagine a drone flies over crops and takes pictures of entire field. By analyzing those images, it creates a detailed report. That report tells if plants have been afflicted by any disease or not and whether they're in need of herbicide.

There's some company doing this just scanning 50 acres of fields in 24 minutes, and providing a health report that is 95% accurate and similarly, some company is doing the same things by combining drone imagery and satellite imagery.

  • Identifying and eradicating weeds

The tractor sweeps the fields and the onboard computer system that are fitted on the camera run deep learning algorithms that is able to recognize the weeds and spray herbicide wherever it's needed. This approach works by fitting a camera system on the back of a tractor and uses only 10% of the herbicides that would've been used following a conventional method which is simply spraying the entire field with herbicide.

  • Real time weather forecasting

90% of crop losses result due to weather events. And 25% of those losses could have been prevented by predictive weather modelling. Temperature, rain, humidity, and solar radiation are some of the things that effect crop yield. AI can be used to combine data from satellites, on ground sensors and weather stations to give better predictions of the weather ahead and can advise farmers on the best time to sew plants and harvest.

  • Soil defects

By analyzing soil sample, it gives an idea of the types of microbes present in the soil. Based on that data, specialist can make recommendations on what kind of fertilizers can be used to improve the quality of the soil and whether soil contains any type of defects that needs to be treated.

 

Future of AI in agriculture

The future of AI in agriculture will need a major focus on universal access because most cutting-edge technologies are only used on large, well-connected farms. Increasing outreach and connectivity to even small farms in remote areas across the world will cement the future of machine learning automated agricultural products and data science in farming.

 

Conclusion

It's eye-opening seeing how artificial intelligence is ensuring food security for the future. AI can be appropriate and efficacious in agriculture sector as it optimizes the resource use and efficiency and solves the scarcity of resources and labor to a large extent. Artificial intelligence can be technological revolution and boom in agriculture to feed the increasing amount of human population in the world.

 


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I am a final year undergraduate of Computer Science & Engineering student with an interest in the Core field of my domain and wanted to give value to this world of science and technology. I am passionate about technology and strategizing product development, research the target market segment, and implementing analytical skills in my domain. I am highly skilled in implementing complex concepts in all kinds of projects, research, and development. I focus on ideation, innovation, development and project planning.

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