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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-in-agriculture/
课程评论：没有评论
课程名称：农业中的人工智能 课程概述：全球人口正在以难以想象的速度增长，这使得对食品的迫切需求愈加明显。农业技术的应用，特别是人工智能，能够提升农业的效率和效果，帮助农民获得更高的产量并显著减少浪费。人工智能作为一种通用技术，已广泛应用于语言翻译、图像识别、信用评分、电子商务等多个领域。为了让所有农民享受到人工智能和数字农业的好处，必须确保网络的可及性和负担得起的宽带互联网接入，尤其是在农村和田间。农民或中小企业还需要进行多项配套投资，例如安装用于数据收集和传输的专用基础设施。 温室生产过程已高度自动化和控制，但类似于许多行业，人工智能系统正在以前所未有的程度进行控制。由于其能够处理大量数据并进行微小的持续调整，人工智能系统开始为操作员提供诸多与生产相关的好处。作物健康管理涉及检测和响应，而检测过程通过预测可能会进一步得到增强，但由于杂草、病害和虫害动态的极端复杂性，目前尚未出现广泛的商业解决方案。 此课程将探讨人工智能在农业中的应用，帮助农民应对全球粮食需求的挑战。
The world is experiencing a growth in population that is beyond our comprehension, in this situation food is urgently needed to aid in hunger. The application of agricultural technology such as artificial intelligence will aid in enhance efficient and effective farming, for farmers to gain more yields and reduce waste drastically. Artificial intelligence has being used in the applications to alleviate certain problems throughout industry and academia. Artificial intelligence like electricity and computers, is a general purpose technology that has a multitude of applications. It has being used in the fields of language translation, image recognition, credit scoring, e-commerce and other domains. Bringing the benefits of artificial intelligence and digital agriculture to all farmers requires accessibility to networks and affordable broadband internet access, not only in residence, but also in the fields. Farmers or small and medium-size enterprises must also make several complimentary investments, such as installing specialized infrastructure for collecting and transferring data.Greenhouse production processes are already highly automated and controlled but, similar to what is occurring in many sectors, artificial intelligence systems are now taking control to unprecedented levels. Because of their potential ability to process large amount of data and make tiny continuous adjustments, Artificial intelligence systems are beginning to provide operators with myriads of production-related benefits. Crop health management involves detection and actuation. Detecting might be further enriched by prediction but the extreme complexity of weeds, disease and pest dynamics has not resulted in many wide spread commercial solutions yet.
