How could AI impact the future of vertical farming?

“This ability to control all aspects of the growing environment also removes the requirement for any herbicides or pesticides, thus producing clean produce,” says Jaz Singh, CEO, and founder of Innovation Agri-Tech Group.

AI is already a leading technology in agriculture, including developing autonomous robots and AI-powered agritech drones. It can help minimize waste and reduce pressures on natural resources. Singh tells Verdict that AI could be the answer for developing new approaches to vertical farming.

“There is a demand for this industry to explore new and innovative ways to approach food production and tackle these challenges,” Singh says. “Investment in developing agritech solutions, in an effort to mitigate the risks to food security and supply, will include AI.”

AI can build a global network of urban vertical farms that are cloud-connected. Vertical farms use AI and machine learning to help with food shortage issues. The technology can also be used to manage crops in vertical farming, according to intellias. This includes benefits such as reducing crop cycle failures, producing crops less prone to disease, and crops adaptable to extreme weather conditions. Monitoring soil health, where AI can conduct chemical oil analyses.

Benefits also include protecting crops by monitoring plant growth, removing weeds, and recommending pest treatments. AI can also be used to identify optimal irrigation patterns or nutrients and autonomously harvest the best crops.

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