A pioneering initiative at Penn State University is set to train a select group of experts to become ambassadors for artificial intelligence in agriculture. This program aims to equip researchers with the knowledge to leverage AI in helping orchard tenders cultivate better crops amidst changing environmental conditions, with the insights to be shared globally. According to a recent news release, the project is led by associate professor Long He, who emphasized the comprehensive training the doctoral fellows will receive. This includes research opportunities, mentorship, career planning, and public speaking, ultimately positioning them as leaders in using AI to enhance farming practices and adapt to climate change.
The initiative, backed by over $738,000 in government and university funding, brings together a multidisciplinary team of experts. The program’s goal is to apply AI and precision tools to address real-world problems in tree fruit farming. He noted that fast computing can accelerate advancements in various fields, including genetics. For instance, at the University of Maryland, researchers have successfully modified apple genes to create varieties resilient to intensifying heat waves. Similar efforts are underway to develop genes that can help crops survive extreme weather conditions, with AI processing playing a crucial role in these advancements.
However, the expanded adoption of AI in agriculture comes with its own set of challenges. While AI can expedite solutions for diseases, pests, and other tree ailments exacerbated by global warming, the environmental impact of AI data centers is a growing concern. These centers consume vast amounts of electricity, often sourced from fossil-fueled power grids, and require significant water resources for cooling—up to 5 million gallons daily. This water usage can have direct and indirect implications for biodiversity, as highlighted by Noman Bashir, a fellow and postdoctoral student at the Massachusetts Institute of Technology.
Despite these challenges, there are promising solutions to mitigate the environmental impact of AI data centers. Companies like Meta are already investing in renewable electricity to power their data centers. Additionally, solar energy can be harnessed at home to charge various devices, and upgrading to energy-efficient appliances, such as heat pumps, can further reduce electricity bills. The Cool Down’s Solar Explorer can assist in connecting with trusted partners to start solar projects, potentially saving up to $10,000.
At Penn State, the AI training project also aims to foster collaboration between academia, industry, and farmers. He expressed hope that the doctoral students trained in this program will emerge as scientists ready to lead innovation in climate-smart agriculture. This initiative not only promises to advance agricultural practices but also to create a sustainable and collaborative future for farming.