Zhao Xinyi, Peng Jie, Zhang Li, Yang Xiao, Qiu Yujie, Cai Chengcheng, Hu Jiangtao, Huang Tao, Liang Ying, Li Zonggeng, Tian Mengliang, Liu Fan, Wang Zheng
College of Agronomy, Sichuan Agricultural University, Chengdu, China.
Institute of Urban Agriculture, Chinese Academy of Agriculture Sciences, Chengdu, China.
Front Plant Sci. 2024 Jul 23;15:1427471. doi: 10.3389/fpls.2024.1427471. eCollection 2024.
In modern agriculture, Controlled environment agriculture (CEA) stands out as a contemporary production mode that leverages precise control over environmental conditions such as nutrient, temperature, light, and other factors to achieve efficient and high-quality agricultural production. Numerous studies have demonstrated the efficacy of manipulating these environmental factors in the short period before harvest to enhance crop yield and quality in CEA. This comprehensive review aims to provide insight into various pre-harvest practices employed in CEA, including nutrient deprivation, nutrient supply, manipulation of the light environment, and the application of exogenous hormones, with the objective of improving yield and quality in horticultural crops. Additionally, we propose an intelligent pre-harvest management system to cultivate high-quality horticultural crops. This system integrates sensor technology, data analysis, and intelligent control, enabling the customization of specific pre-harvest strategies based on producers' requirements. The envisioned pre-harvest intelligent system holds the potential to enhance crop quality, increase yield, reduce resource wastage, and offer innovative ideas and technical support for the sustainable development of CEA.
在现代农业中,可控环境农业(CEA)作为一种现代生产模式脱颖而出,它利用对养分、温度、光照等环境条件的精确控制来实现高效、优质的农业生产。大量研究表明,在收获前的短时间内操纵这些环境因素,可提高可控环境农业中的作物产量和质量。本综述旨在深入探讨可控环境农业中采用的各种收获前措施,包括养分剥夺、养分供应、光照环境操纵和外源激素的应用,以提高园艺作物的产量和质量。此外,我们提出了一种智能收获前管理系统,用于培育高品质的园艺作物。该系统集成了传感器技术、数据分析和智能控制,能够根据生产者的需求定制特定的收获前策略。设想中的收获前智能系统有潜力提高作物质量、增加产量、减少资源浪费,并为可控环境农业的可持续发展提供创新思路和技术支持。