持续性
农业
生产力
业务
自然资源
产品(数学)
可持续农业
环境经济学
生产(经济)
资源(消歧)
工厂(面向对象编程)
工作(物理)
温室气体
环境污染
工程类
环境科学
环境保护
计算机科学
经济
生物
机械工程
宏观经济学
程序设计语言
数学
计算机网络
生态学
几何学
作者
Salinee Santiteerakul,Apichat Sopadang,Korrakot Yaibuathet Tippayawong,Krisana Tamvimol
出处
期刊:Sustainability
[MDPI AG]
日期:2020-06-05
卷期号:12 (11): 4640-4640
被引量:55
摘要
Sustainable development is of growing importance to the agriculture sector because the current lacking utilization of resources and energy usage, together with the pollution generated from toxic chemicals, cannot continue at present rates. Sustainability in agriculture can be achieved through using less (or no) poisonous chemicals, saving natural resources, and reducing greenhouse gas emissions. Technology applications could help farmers to use proper data in decision-making, which leads to low-input agriculture. This work focuses on the role of smart technology implementation in sustainable agriculture. The effects of smart technology implementation are analyzed by using a case study approach. The results show that the plant factory using intelligence technology enhances sustainability performance by increasing production productivity, product quality, crop per year, resource use efficiency, and food safety, as well as improving employees’ quality of life.
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