

新疆农业科学 ›› 2024, Vol. 61 ›› Issue (S1): 238-244.DOI: 10.6048/j.issn.1001-4330.2024.S1.036
王冰1(
), 郭君1, 许士东1(
), 蒋国伟1(
), 李云云1, 王翔1, 李琼诗1, 丁玉红2
收稿日期:2024-07-05
出版日期:2024-10-10
发布日期:2024-11-15
通信作者:
蒋国伟(1982-),男,新疆乌鲁木齐人,副研究员,硕士,研究方向为智慧农业技术应用,农业经济与信息分析,(E-mail)70650068@qq.com;作者简介:王冰(1988-),男,新疆乌鲁木齐人,助理研究员,硕士,研究方向为智慧农业技术应用,农业经济与信息分析,(E-mail)1795980696@qq.com
基金资助:
WANG Bing1(
), GUO Jun1, XU Shidong1(
), JIANG Guowei1(
), LI Yunyun1, WANG Xiang1, LI Qiongshi1, DING Yuhong2
Received:2024-07-05
Published:2024-10-10
Online:2024-11-15
Correspondence author:
JIANG Guowei(1982-),male, from Urumqi, Xinjiang , associate researcher , master's degree, research direction:application of smart agricultural technology, Agricultural economy and Information Analysis, (E-mail) 70650068@qq.com
XU Shidong (1982-), male, from Urumqi, Xinjiang , associate researcher , master's degree, research direction:application of smart agricultural technology, Agricultural economy and Information Analysis, (E-mail) xsd@xaas.ac.cn
Supported by:摘要:
【目的】了解智慧农业的关键技术和应用,包括物联网、传感器技术、遥感技术、人工智能与机器学习、大数据技术以及大规模技术,以及在农业管理水平的精准化、自动化和智能化。分析智慧农业的实践经验和启示。【方法】文献资料收集、汇总与整理。运用统计学方法分析智慧农业的关键技术及应用案例。【结果】物联网技术是智慧农业的基石,用户可以远程监控作物生长状况和环境变化,及时做出相应的管理。传感器技术用于实时监测作物生长环境和生物信息,农业传感器是数字农业、信息农业、智慧农业等现代农业发展模式的源头技术。遥感技术为农业生产提供了宏观的监测手段。【结论】人工智能和机器学习技术为智慧农业带来智能化的决策支持,大数据技术在智慧农业中扮演着分析和决策支持的角色。
中图分类号:
王冰, 郭君, 许士东, 蒋国伟, 李云云, 王翔, 李琼诗, 丁玉红. 浅析智慧农业:技术进展与实践案例[J]. 新疆农业科学, 2024, 61(S1): 238-244.
WANG Bing, GUO Jun, XU Shidong, JIANG Guowei, LI Yunyun, WANG Xiang, LI Qiongshi, DING Yuhong. Analysis of smart agriculture: technical progress and practical cases[J]. Xinjiang Agricultural Sciences, 2024, 61(S1): 238-244.
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