农情信息智能感知及解析的研究进展
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广州市科技计划(201803020022);国家自然科学基金(61804057)


Research progress of intelligent perception and analytics of agricultural information
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    摘要:

    现代农业中,农业生产者需要实时、准确、全面地了解农田环境和农作物的生长状态,并对得到的农田信息数据做出相应分析、归纳和决策。农情信息智能感知和解析技术在现代农业生产中具有不可替代的地位。本文从农情智能感知和信息解析技术2个方面展开论述,重点分析了国内外农业物联网农情信息智能感知技术和基于大数据分析的农情解析方法研究进展,详细介绍了基于农情信息的智能决策技术在农机装备智能化应用的研究现状,总结了目前农用传感器应用存在的问题,并对今后在农情感知、信息解析技术、农业数据库技术以及智能决策技术方面的发展提出了建议,以期为智慧农业的深入发展提供参考。

    Abstract:

    In modern agriculture, agricultural producers need to know the farmland environment and the growth state of crop in a real-time, accurate and comprehensive manner, and make corresponding analysis, induction and decision of obtained information. Intelligent sensing and analysis technology of agricultural information plays an indispensable role in modern agriculture. In this review, we discussed two aspects of agricultural intelligent sensing and information analysis technology, focused on the research progress of agricultural information intelligent perception technology and agricultural information analysis method based on agricultural internet of things and big data at home and abroad, introduced the application of intelligent decision-making technology based on agricultural information in agricultural machinery and equipment intellectualization. The problems existing in application of agricultural sensors were summarized. Some suggestions were put forward for the development of agricultural information perception, information analysis technology, agricultural database technology and intelligent decision-making technology to provide a reference for the development of intelligent agriculture in future.

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岳学军,蔡雨霖,王林惠,刘永鑫,王健,洪金宝.农情信息智能感知及解析的研究进展[J].华南农业大学学报,2020,41(6):14-28

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  • 收稿日期:2020-08-31
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  • 在线发布日期: 2020-11-17