Artificial Intelligence and Robots in Agriculture

A. Raikov, Vyacheslav Abrosimov
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引用次数: 1

Abstract

The article addresses the generalization of modern challenges to agricultural production from robotization and artificial intelligence (AI). The classification of agricultural robots is given for the identification of development trends. It is shown the possibilities of using agricultural robots and AI systems to improve the efficiency of agriculture in the field of crop and livestock production. Approaches to the construction and use of information resources for solving problems of precision farming and animal husbandry are described. The justification is given that agriculture robots are successfully used for solving the problems of complex agrochemical soil survey, recognition of plant diseases, weed, and pest control, cattle feeding, milking, etc. General approaches to the use of agriculture robots in the context of using the Internet are described. Methods and means of AI are considered mainly on examples from the field of animal husbandry, where they are used to diagnose behavior, proactively detect diseases in animals and birds, etc.
农业中的人工智能和机器人
本文阐述了机器人化和人工智能(AI)对农业生产的现代挑战的概括。为了识别农业机器人的发展趋势,对农业机器人进行了分类。它展示了利用农业机器人和人工智能系统提高作物和牲畜生产领域农业效率的可能性。阐述了解决精准农牧业问题的信息资源建设和利用途径。理由是,农业机器人成功地用于解决复杂的农化土壤调查、植物病害识别、杂草和害虫控制、牛饲养、挤奶等问题。描述了在使用互联网的背景下使用农业机器人的一般方法。人工智能的方法和手段主要以畜牧业领域为例,用于动物和鸟类的行为诊断,主动检测疾病等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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