Artificial Intelligence in Agriculture(《农业人工智能(英文)》,简称AIIA),创刊于2019年,由中国科学院主管,科学出版社主办,科爱公司运营。Artificial Intelligence in Agriculture立足中国、面向世界,力争成为具有国家代表性、在国内外具有广泛影响力的综合性、专业化农业人工智能学术期刊,目标3年内成为代表中国智能农业领域...
Technology is opening possibilities in farming, along the entire food value chain. Artificial intelligence is one of the technologies leading the transformation of agriculture for the better. Consider better decisions on which varieties to plant, recognition and prediction of pest out...
《Artificial Intelligence In Agriculture》(《农业人工智能》)是一本由KeAi Communications Co., Ltd.出版的Engineering-Engineering (miscellaneous)学术刊物,主要刊载Engineering-Engineering (miscellaneous)相关领域研究成果与实践,旨在打造一种学术水平高、可读性强、具有全球影响力的学术期刊。本刊已入选SCIE来源期刊。2023...
《农业人工智能(英文)》(Artificial Intelligence in Agriculture)(季刊),创刊于2019年,2021年获批CN刊号,由中国科学院主管,中国科技出版传媒股份有限公司主办。出版关于农业、食品和生物系统工程及相关领域的人工智能(AI)理论和实践的原始研究、综述和观点。 本刊为:SCIE(2024版), 目次收录(维普), 知网外文库,外文...
Artificial Intelligence in Agriculture Artificial Intelligence (AI) has been transforming industries across the board, and agriculture is no exception. The integration of AI in agriculture has the potential to revolutionize the way we produce food, making it more efficient, sustainable, and profitable....
Artificial Intelligence in agriculture sector can be used for monitoring crop health and sustainability. For example detecting the diseases, pests, and nutrition of the farms. Artificial intelligence algorithm can tell where the fertilizer is needed on the farm. This can reduce the amount of fertilize...
以推动智能农业发展为目标,致力于反映国际农业人工智能及智慧农业的新概念、新成果、新进展的英文学术期刊Artificial Intelligence in Agriculture于近日正式被 Web of Science 旗下数据库 SCIE 收录。自 2022 年(Volume 6, Issue 1)起发表的所有文章将被收录在 SCIE 数据库中。
Journal Title:Artificial Intelligence In Agriculture 《Artificial Intelligence in Agriculture》是一本专注于农业人工智能领域的国际开放获取期刊,由中国科学院主管,科学出版社主办,科爱公司运营。该杂志自创刊以来,致力于成为具有国家代表性和广泛国际影响力的综合性、专业化学术期刊。杂志的目标是反映国际农业人工智能及...
Click to share on Reddit (Opens in new window) Click to print (Opens in new window)Published July 31, 2024 at 3:25 PM Artificial Intelligence is expanding into more sectors of the economy, including agriculture.For example, farmers face the constant challenge of watering their fields efficientl...
So the problem with deploying machine learning and artificial intelligence in agriculture is not that scientists lack the capacity to develop programs and protocols to begin to address the biggest of growers’ concerns; the problem is that in most cases, no two environments will be exactly alike,...