首页|Study Results from National Institute of Agricultural Sciences Broaden Understan ding of Machine Learning (Machine Learning Based Peach Leaf Temperature Predicti on Model for Measuring Water Stress)
Study Results from National Institute of Agricultural Sciences Broaden Understan ding of Machine Learning (Machine Learning Based Peach Leaf Temperature Predicti on Model for Measuring Water Stress)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Jeonju, Sout h Korea, by NewsRx correspondents, research stated, “When utilizing theCrop Wat er Stress Index (CWSI), the most critical factor is accurately measuring canopy temperature,which is typically done using infrared sensors and imaging cameras. In this study, however, we aimed todevelop a machine learning model capable of predicting leaf temperature based on environmental data,without relying on sen sors, for calculating CWSI.”
National Institute of Agricultural Scien cesJeonjuSouth KoreaAsiaCyborgsEmerging TechnologiesMachine Learning
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