By Sarah Parvini
Los Angeles (AP)-as artificial intelligence supported tractors to the vineyards, Tom Gamble wanted to be an early user. He knew that there would be a learning curve, but Gamble decided that the technology was worth finding out.
The third generation farmer bought an autonomous tractor. He plans to use his self-driving function this spring and is currently using the tractor’s AI sensor to map his Napa Valley Vineyard. The tractor knows how it is to go in every row, where to go when it is used autonomously. The AI within the machine then processes the data that it collects and helps to play better informed decisions about his harvest to meet what it describes as “precision breeding”.
“It will not completely replace the human element to put your boots into the vineyard, and that’s one of my favorite businesses,” he said. “But it will enable them to make better and ultimately better decisions under less tiredness.”
Gamble said that he expects the technology to use the technology as much as possible because “economic, air quality and regulatory imperatives”. Autonomous tractors could help reduce its fuel consumption and reduce pollution.
While AI continues to grow, experts say that the wine industry is proof that companies can efficiently integrate the technology to supplement workers without suppressing a workforce. New agricultural technology such as AI can help farmers reduce waste and to operate and determine more efficient and sustainable vineyards by monitoring water consumption when and where products such as fertilizers or pest control can be used. According to Bauer, AI supported tractors and irrigation systems can minimize water consumption by analyzing soil or vines and helping farmers to manage hectares of vineyards by providing more precise data on the health of harvesting or yielding a season.
Other facets of the wine industry have also started to take over the technology, from the use of generative AI to the creation of tailor -made wine labels to chatt to develop, label and praise a whole bottle.
“I don’t see anyone who loses his job because I think that the skills of a tractor operator will increase and, as a result, monitor a small fleet of these machines that are out there, and they are compensated for their increased level of ability,” he said.
The farmers, said Gamble, keep developing. There were fears when the tractor replaced horses and mules, the plows pulled, but this technology, like the AI farm technology, “proven”, he said, adding that the adoption of a new technology always takes time.
Companies like John Deere have started to use the AI that accept winegrowers. The agricultural giant, for example, uses the “Smart Apply” technology for tractors and helps the producer to use material for plant retention by using sensors and algorithms to feel the foliage on grape roofing, said Sean Sundberg, Business Integration Manager at John Deere.
The tractors that use this technology then only spray “where there are grapes or leaves or so on that it does not spray material unnecessarily,” he said. Last year, the company announced a project with Sonoma County Winzrowers to use Tech to help the breeders of the grapes maximize their return.
Tyler Click, partner at Redwood Empire Vineyard Management, said his company has started to automate irrigation valves at the Vineyards that manage it. In the event of a leak, the valves send a warning and switch off automatically when they notice an “excessive” water flow rate.
“This valve actually begins to learn typical water consumption,” said Klick. “It will learn how much water is used before production drops.”
According to click, each valve costs around 600 US dollars plus 150 US dollars a year to subscribe to the service.
“Our job, viticulture, is to adapt our operations to the climatic conditions we treated,” said Klick. “I can see the AI that helps us in finite conditions.”
Angelo A. Camillo, professor of wine business at Sonoma State University, said that some smaller vineyards are more skeptical despite the excitement of AI in the wine industry to use technology. Small, family-run operations, which, according to Camillo, make up about 80% of the wine business in America, disappear slowly-many do not have the money to invest in AI, he said. A robot arm that helps, for example, to put together pallets of wine, can cost up to $ 150,000, he said.
“There is a question mark for small wineries that is the investment. Then there is the training. Who will work with all these AI applications? Where is the training? “he said.
There are also potential challenges with scalability, added Camillo. For example, drones could be useful for smaller vineyards that could address certain plants with AI that have a mistake, he said – it would be much more difficult to operate 100 drones in a 1,000 hectare vineyard and at the same time employ the IT employees who understand the technology.
“I don’t think a person can manage 40 drones as a swarm,” he said. “So there is a restriction for the operators to adopt certain things.”
However, AI is particularly good at pursuing the health of a harvest – including the execution of the system itself and the question of whether it is growing enough leaves – and at the same time monitor the grapes to support the yield forecasts, said Mason Earles, an assistant professor who heads the work of Appendix AI and Biophysics at UC Davis.
Diseases or viruses can sneak up and destroy entire vineyards, said Earles and called it an “elephant in the room” in the entire wine industry. The process of planting a vineyard and producing it well takes at least five years, he said. AI can help the producer to determine which virus affects your plants, he said, and whether you should take some harvests out so as not to lose your entire vineyard.
Earles, also a co-founder of the AI-Ant Scout Scout Scout Scouts, said that his company processes thousands of images in hours with AI and quickly extracted inguses, which would be difficult in large vineyards, the hundreds of tomorrow. The KI platform from Scout already counts and already measures the number of grape clusters when a plant begins to bloom to predict what a yield will be.
The earlier Vintners know how much return to be expected, the better you can “choose” your wine manufacturing process, he added.
“Predict what exploits you will have at the end of the season is no one in it so well,” he said. “But it is really important because it determines how much employment contract you need and which stocks you have to make for wine.”
Earles does not believe that the burgeoning use of AI in vineyards is “damn farmers out”. Rather, he precedes the fact that the AI is used more often to support difficult field work and to recognize problems in vineyards with which farmers need help.
“You have tried people for decades to sell them technology. It is difficult to manage; It is unpredictable compared to most other jobs, ”he said. “Going and counting, I think people would have said a long time ago:” I would like to have a machine over. “
Originally published:
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