5 Uses of AI in Agriculture! – 5 Mins 5 Ideas e technology in agriculture

5 Uses of AI in Agriculture! – 5 Mins 5 Ideas
0:00 – Welcome
0:08 – Fruit Picking Robot
0:29 – Crop Analysis
1:12 – Weed Eradication
1:50 – Realtime weather forecasting
2:23 – Soil Defects

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🚜 These are the top 5 Agriculture companies in AUSTRALIA 🇦🇺

🚜 These are the top 5 Agriculture companies in the World 🌍

🚀 About Me
I’m Samanvay Karambhe, a data scientist and a rocket scientist working in Sydney, Australia. I make videos about AI, Space & books. In my spare time, I enjoy long distance running, reading and cooking.

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🍓 Fruit Picking Robot
The first use of AI in agriculture is for fruit picking. Harvest Robotics uses a robot to pick strawberries. In just one day, the robot can pick the same amount of fruits as 30 human workers. The robot is also equipped with camera systems that can do image recognition on the fruits to figure out whether or not they’re ready for picking.

🌾 Crop Analysis
The second use of AI in agriculture is crop analysis using drone and satellite imagery. Imagine a drone flies over your crops and takes pictures of your entire field. It then does an analysis on those images to create a detailed health report. That health report tells you whether or not your plants have been afflicted by any disease. And whether they’re in need of herbicide. Sky Squirrel Technologies is doing just this. They claim to be able to scan 50 acres of fields in 24 minutes, and providing a health report that is 95% accurate. Similarly, there’s a company called Farmshots that is doing the same thing, by combining drone imagery and satellite imagery.

🌱 Weed Eradication
The third use of AI in agriculture is for identifying and eradicating weeds. A company called Blue River Technology does this by fitting a camera system on the back of a tractor. As the tractor sweeps the fields, 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 uses only 10% of the herbicides that would’ve been used following a conventional method, and this is simply spraying the entire field with herbicide. As you can imagine, this results in higher efficiency, less wastage and safer produce for all of us.

⛅️ Realtime weather forecasting
The fourth use of AI in agriculture is for real time weather forecasting to improve crop yield. 90% of crop losses result due to weather events. And 25% of those losses could have been prevented by predictive weather modelling. Some of the things that affect crop yield are temperature, rain, humidity, and solar radiation. So AI can be used to combine data from satellites, on ground sensors and weather stations to give better predictions of the weather ahead. And this type of modelling can advise farmers on the best time to sew plants and harvest.

🌽 Soil Defects
The fifth use of AI agriculture is for detecting soil defects. Trace Genomics, a company based in California, analyzes your soil sample to give you an idea of the types of microbes present in your soil. Based on that data, they can make recommendations on what kind of fertilizers you can use to improve the quality of your soil and whether your soil contains any type of defects that needs to be treated.

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