余忠义,全春夏,方舟,等. 数智农田构建关键技术装备及展望[J]. 农业工程学报,xxxx,x(x):1-15. DOI: 10.11975/j.issn.1002-6819.2024.07.107
    引用本文: 余忠义,全春夏,方舟,等. 数智农田构建关键技术装备及展望[J]. 农业工程学报,xxxx,x(x):1-15. DOI: 10.11975/j.issn.1002-6819.2024.07.107
    YU Zhongyi, QUAN Chunxia, FANG Zhou, et al. Key equipment technology and prospect of digital intelligent farmland construction[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), xxxx, x(x): 1-15. DOI: 10.11975/j.issn.1002-6819.2024.07.107
    Citation: YU Zhongyi, QUAN Chunxia, FANG Zhou, et al. Key equipment technology and prospect of digital intelligent farmland construction[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), xxxx, x(x): 1-15. DOI: 10.11975/j.issn.1002-6819.2024.07.107

    数智农田构建关键技术装备及展望

    Key equipment technology and prospect of digital intelligent farmland construction

    • 摘要: 现代数智化技术装备使农田生产管理场景多元化,本研究依托中国农业大学超高产种植制度科技小院的智慧技术示范基地,集成大数据、物联网、云计算和人工智能等技术,应用农情监测站、水肥微喷带灌溉、病虫害管理、智能作业装备、种植管理及溯源等系统,建立人‒机‒作物全要素生产的监测、管控和决策云平台,构建作物‒农艺‒农机信息融合模式,实现农作物的生产信息采集、科学种植、机械作业、智能管理及追溯,达到了农作物质优产高、高效安全的生产目标。构建的数智农田较传统农田减少人力成本约50%,农药减量约30%,肥料节省15%~25%,较常规灌溉节水50%、滴灌节水20%~30%,实现单位面积增产约15%~25%、增效约25%,解决了传统农田的作物信息获取难、管护不及时,机械化程度低等问题,基本实现了农田作物生产的信息化、机械化和智能化作业。

       

      Abstract: The widespread application of modern digital intelligent technology and equipment have diversified the application scenarios of digital agricultural production management more diversified in farmland. This study introduces the overall architecture and technical implementation details of the digital intelligent farmland constructed by the author's team based on their understanding of current high standard farmland. It outlines the concept, principles, and construction process of digital intelligent farmland, analyses the current development status of digital intelligent farmland, and looks forward to the development trend of digital intelligent farmland in China. The established smart farmland technology demonstration base plays a leading role in promoting the construction of high standard farmland in China. Firstly, this study combines the actual production needs of agricultural crops and relies on the intelligent technology demonstration base of the Qihe County's digital intelligent ultrahigh-yield planting system science and technology college of China Agricultural University, Qihe digital intelligent ultrahigh-yield is equipped with various environmental, soil, pest and disease, water and fertilizer information sensor devices, and intelligent technology supported mechanized operation equipment. It integrates technologies such as big data, internet of things, cloud computing, and artificial intelligence to establish a digital application technology system for wheat and maize smart farmland, The digital intelligent ultrahigh-yield achieves real-time and accurate acquisition and monitoring of long-term information data on wheat and corn through field environment monitoring stations and multispectral video monitoring, based on actual production needs. It accurately grasps the correlation data of multi-dimensional production such as farmland vegetation, environmental indicators and development trends, crop growth status, etc. It has achieved the collection of production information, scientific planting, unmanned mechanized operation, intelligent management, and full process visualization traceability of wheat and maize crops in digital intelligent ultrahigh-yield planting farmland. And the applied technological equipment and systems mainly includes farmland agricultural information acquisition and monitoring system, water and fertilizer integrated micro spray hose irrigation system, intelligent pest and disease management system, intelligent operation key equipment and technology, planting management and traceability system, etc. We have established an intelligent monitoring, control, and decision-making cloud platform for human machine crop total factor production. We apply standard, intelligent, scientific, and green wheat and maize rotation planting modes and technical equipment to guide production management. We aim to establish an organic integration of crop information, agricultural technology, and agricultural machinery for crop production, planting, and management decision-making, and improve grain production capacity through a digital super high yield farmland model. Through full traceability, we have achieved high-quality agricultural materials and high yields efficient and safe production goals. The implementation of the digital intelligent farming production and management model in traditional farmland has reduced labor costs by about 50%, pesticide usage by about 30%, fertilizer savings by 15~25%, and water savings by 50% compared to conventional irrigation and 20% -30% compared to drip irrigation. It has achieved a yield increase of about 15% ~25% per unit area and an efficiency increase of about 25%, solving the problems of difficult crop information acquisition, untimely management and maintenance, and low mechanization level in traditional farmland. It has basically achieved the informatization, mechanization, and intelligent operation of farmland crop production, as well as standardized, digitized, and traceable management of the entire process of wheat and maize crop production. The construction of digital intelligent ultrahigh-yield provides scientific theoretical decision-making and a new mode of super high yield planting for crop production management in farmland, playing a leading demonstration role in the construction and promotion of high standard farmland in China, achieving certain results and significant progress, greatly assisting the rapid development of digitalization level in farmland in China.

       

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