Optimizing Fruit Harvesting Robots - AI Research Directions with Dr. Stavros Vougioukas скачать в хорошем качестве

Optimizing Fruit Harvesting Robots - AI Research Directions with Dr. Stavros Vougioukas

Are robots truly the future of agriculture? Discover the latest advances in high-performance harvesting robots as Dr. Stavros Vougioukas identifies new research efforts that could revolutionize our food systems. We need efficient harvesting robots to supplement a declining labor force, but how can we make them pick fast enough without damaging tender fruits? Agricultural Engineer Dr. Stavros Vougioukas joins us for the AIFS AI Speaker Series to discuss the future of high-performance harvesting robots. Dr. Vougioukas addresses key challenges and innovative solutions in automated fruit picking. Timestamps: 0:00 Introduction by Steve Brown 1:12 Overview of AIFS and its mission 2:05 Global labor challenges in agriculture 4:15 Developing cost-effective, efficient, fast harvesting robots remains challenging. 13:08 Human pickers outperform robots in speed, efficiency. 40:16 Tree imagery limits: useful but not for harvesting. 41:41 Theoretical precision is challenging; reality often differs. 48:14 Human collaboration with robots: challenges in harvesting. 52:39 Technology adoption in agriculture takes time. 54:33 Time for one more question. Read more at: https://aifs.ucdavis.edu/news-and-eve... FEATURED SPEAKER: Stavros Vougioukas, Ph.D. Professor and Vice Chair Department of Biological and Agricultural Engineering University of California, Davis https://bae.ucdavis.edu/people/stavro... ---------- The AI Institute for Next Generation Food Systems, or AIFS, was launched in 2020 to solve the world’s biggest challenges to crop and food production facing our planet: ensuring a sustainable, nutritious, efficient, and safe food supply while mitigating the impacts of a changing climate. Given food’s fundamental role in human health and well-being, coupled with its far-reaching impacts on the national economy and environment, AIFS is developing open-source AI solutions across the food system for the good of our people, our planet and our society. We bring together more than 40 researchers from six institutions: UC Davis, UC Berkeley, UC Agriculture and Natural Resources (UC-ANR), Cornell University, University of Illinois at Urbana-Champaign, and the U.S. Department of Agriculture. This work is supported by AFRI Competitive Grant no. 2020-67021-32855/project accession no. 1024262 from the USDA National Institute of Food and Agriculture. Learn more at: https://aifs.ucdavis.edu/