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인공지능은 이제 농업을 포함한 모든 부문의 일부가 되었습니다. Avalo는 노스캐롤라이나에 있는 신생 기업으로, 이를 사용하여 새로운 식물 유형을 더 빨리 만들어 자연을 가속화합니다.
Historically, to make a heat resistant plant, you could use an existing heat resistant plant and pollinate it, typically by hand. This process has been around for a long time, but it doesn’t work all the time. Avala’s technique is also based upon this process but with the addition of artificial intelligence it produces better results.
Artificial intelligence can identify genetic characteristics of heat resistance in different types and will then recommend the most effective plants for success. Artificial intelligence would allow this technology to accurately predict the yield of a plant. Avalo told CNN that ” In the end, what we are doing is exactly what has been done for thousands and thousands of years“. They do this much more quickly than nature. It speeds it up, but it does not change the process. No genetic modification is done, everything happens in the greenhouse.
No more wastage!
Avalo focuses on broccoli as a vegetable that is only consumed in 20%. It has discovered that one particular vegetable, which is a cross between broccoli kale and other vegetables, can be consumed in full. It analyzed the plants to develop a totally new broccoli type, where even the leaves and stem can be consumed like salad. Avalo says that it is a way to avoid waste. It hopes to introduce the product to market by 2026 after three years’ research. Avalo raised $6 million in the first six months of 2024 to fund its research on heat-resistant tomatos, cotton that is drought resistant, and rubber from dandelions.
It is a significant breakthrough. This technology would allow for plants to grow more quickly and be resistant. It saves not only time but money as well, because it is cheaper to produce them. Farmers are constantly adapting to climate changes and dealing with unpredictable and new conditions. When it takes 10 years to develop a better variety that is more suited to the new reality, those realities will have changed by then. Avalo explains that faster production will mean less exposure to the changes. A climate expert interviewed by CNN said that this was a great idea. However, it raises a question. Does artificial intelligence not run the risk to misinterpret certain genetic characteristics on which its recommendations will be based?
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