How artificial intelligence uses to achieve the agriculture sustainability: Systematic review

IF 8.2 Q1 AGRICULTURE, MULTIDISCIPLINARY Artificial Intelligence in Agriculture Pub Date : 2023-06-01 DOI:10.1016/j.aiia.2023.04.002
Vilani Sachithra, L.D.C.S. Subhashini
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引用次数: 4

Abstract

The generation of food production that meets the rising demand for food and ecosystem security is a big challenge. With the development of Artificial Intelligence (AI) models, there is a growing need to use them to achieve sustainable agriculture. The continuous enhancement of AI in agriculture, researchers have proposed many models in agriculture functions such as prediction,weed control, resource management, advance care of crops, and so on. This article evaluates on a systematic review of AI models in agriculture functions. It also reviews how AI models are used in identified sustainable objectives. Through this extensive review, this paper discusses considerations and limitations for building the next generation of sustainable agriculture using AI.

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人工智能如何实现农业可持续发展:系统综述
满足日益增长的粮食需求和生态系统安全的粮食生产是一个巨大的挑战。随着人工智能(AI)模型的发展,人们越来越需要使用它们来实现可持续农业。随着人工智能在农业中的不断增强,研究人员提出了许多农业功能模型,如预测、杂草控制、资源管理、作物提前照料等。它还审查了人工智能模型如何用于确定的可持续目标。通过这篇广泛的综述,本文讨论了利用人工智能构建下一代可持续农业的考虑因素和局限性。
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来源期刊
Artificial Intelligence in Agriculture
Artificial Intelligence in Agriculture Engineering-Engineering (miscellaneous)
CiteScore
21.60
自引率
0.00%
发文量
18
审稿时长
12 weeks
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