摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道由NewsRx记者从韩国Sout H Jeonju发出的研究报告称，“当利用作物水分胁迫指数(CWSI)，最关键的因素是准确测量冠层温度，这通常是使用红外传感器和成像摄像机完成的。然而，在这项研究中，我们的目标是开发基于环境数据预测叶温的机器学习模型，在不依赖传感器的情况下，计算CWSI。
Abstract
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.”
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