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High resolution satellite imaging sensors for precision agriculture
Chenghai YANG
《农业科学与工程前沿（英文）》 2018年 第5卷 第4期 页码 393-405 doi: 10.15302/J-FASE-2018226
The central concept of precision agriculture is to manage within-field soil and crop growth variability for more efficient use of farming inputs. Remote sensing has been an integral part of precision agriculture since the farming technology started developing in the mid to late 1980s. Various types of remote sensors carried on ground-based platforms, manned aircraft, satellites, and more recently, unmanned aircraft have been used for precision agriculture applications. Original satellite sensors, such as Landsat and SPOT, have commonly been used for agricultural applications over large geographic areas since the 1970s, but they have limited use for precision agriculture because of their relatively coarse spatial resolution and long revisit time. Recent developments in high resolution satellite sensors have significantly narrowed the gap in spatial resolution between satellite imagery and airborne imagery. Since the first high resolution satellite sensor IKONOS was launched in 1999, numerous commercial high resolution satellite sensors have become available. These imaging sensors not only provide images with high spatial resolution, but can also repeatedly view the same target area. The high revisit frequency and fast data turnaround time, combined with their relatively large aerial coverage, make high resolution satellite sensors attractive for many applications, including precision agriculture. This article will provide an overview of commercially available high resolution satellite sensors that have been used or have potential for precision agriculture. The applications of these sensors for precision agriculture are reviewed and application examples based on the studies conducted by the author and his collaborators are provided to illustrate how high resolution satellite imagery has been used for crop identification, crop yield variability mapping and pest management. Some challenges and future directions on the use of high resolution satellite sensors and other types of remote sensors for precision agriculture are discussed.
关键词： high resolution satellite sensor multispectral imagery precision agriculture spatial resolution temporal resolution
Review of operational management in intelligent agriculture based on the Internet of Things
Xiangpei HU, Lijun SUN, Yaxian ZHOU, Junhu RUAN
《工程管理前沿（英文）》 2020年 第7卷 第3期 页码 309-322 doi: 10.1007/s42524-020-0107-3
关键词： Internet of Things (IoT) agricultural Internet of Things (Agri-IoT) operational management intelligent agriculture precision management traceability
牛化欣,常杰,雷霁霖,贾玉东
《中国工程科学》 2014年 第16卷 第9期 页码 106-112
鉴于当前水资源短缺、环境恶化、水产养殖业高速发展，以及保障食品安全等问题的不断呈现，促使资源型工厂化流水养殖模式急需向高效型循环水养殖方向转变，这是产业发展提升的必然趋势。本文以工业化养殖理念为指导、节能减排为目标，以鲆鲽类产业技术体系构建的循环水养殖模式为样板，按循环水养殖系统（RAS）的设计原理，优化养殖工艺流程，构建一种设施型精准化的RAS，并初步分析探讨了海水鱼类在此集成系统中的应用效果。该系统将为广大水产养殖企业提供一种建设成本低廉、系统运行稳定可控、容易管理的实用新型养殖模式，也可为下一步发展现代水产精准养殖工程体系提供理论和实践依据。
Feature extraction of hyperspectral images for detecting immature green citrus fruit
Yongjun DING, Won Suk LEE, Minzan LI
《农业科学与工程前沿（英文）》 2018年 第5卷 第4期 页码 475-484 doi: 10.15302/J-FASE-2018241
At an early immature growth stage of citrus, a hyperspectral camera of 369–1042 nm was employed to acquire 30 hyperspectral images in order to detect immature green fruit within citrus trees under natural illumination conditions. First, successive projections algorithm (SPA) were implemented to select 677, 804, 563, 962, and 405 nm wavebands and to construct multispectral images from the original hyperspectral images for further processing. Then, histogram threshold segmentation using NDVI of 804 and 677 nm was implemented to remove image backgrounds. Three slope parameters, calculated from the pairs 405 and 563 nm, 563 and 677 nm, and 804 and 962 nm were used to construct a classifier to identify the potential citrus fruit. Then, a marker-controlled watershed segmentation based on wavelet transform was applied to obtain potential fruit areas. Finally, a green fruit detection model was constructed according to Grey Level Co-occurrence Matrix (GLCM) texture features of the independent areas. Three supervised classifiers, logistic regression, random forest and support vector machine (SVM) were developed using texture features. The detection accuracies were 79%, 75%, and 86% for the logistic regression, random forest, and SVM models, respectively. The developed algorithm showed a great potential for identifying immature green citrus for an early yield estimation.
关键词： hyperspectral green citrus image processing fruit detection precision agriculture yield mapping
A proposed framework for accelerating technology trajectories in agriculture: a case study in China
Beth CLARK, Glyn D. JONES, Helen KENDALL, James TAYLOR, Yiying CAO, Wenjing LI, Chunjiang ZHAO, Jing CHEN, Guijun YANG, Liping CHEN, Zhenhong LI, Rachel GAULTON, Lynn J. FREWER
《农业科学与工程前沿（英文）》 2018年 第5卷 第4期 页码 485-498 doi: 10.15302/J-FASE-2018244
Precision agriculture (PA) technologies have great potential for promoting sustainable intensification of food production, ensuring targeted delivery of agricultural inputs, and hence food security and environmental protection. The benefits of PA technologies are applicable across a broad range of agronomic, environmental and rural socio-economic contexts globally. However, farmer and land-manager adoption in low to middle income countries has typically been slower than that observed in more affluent countries. China is currently engaged in the process of agricultural modernisation to ensure food security for its 1.4 billion population and has developed a portfolio of policies designed to improve food security, while simultaneously promoting environmental protection. Particular attention has been paid to the reduction of agricultural inputs such as fertilisers and pesticides. The widespread adoption of PA technologies across the Chinese agricultural landscape is central to the success of these policies. However, socio-economic and cultural barriers, farm scale, (in particular the prevalence of smaller family farms) and demographic changes in the rural population, (for example, the movement of younger people to the cities) represent barriers to PA adoption across China. A framework for ensuring an acceptable and accelerated PA technology trajectory is proposed which combines systematic understanding of farmer and end-user priorities and preferences for technology design throughout the technology development process, and subsequent end-user requirements for implementation (including demonstration of economic and agronomic benefits, and knowledge transfer). Future research will validate the framework against qualitative and quantitative socio-economic, cultural and agronomic indicators of successful, or otherwise, PA implementation. The results will provide the evidence upon which to develop further policies regarding how to secure sustainable food production and how best to implement PA in China, as well as practical recommendations for optimising end-user uptake.
关键词： precision agriculture farmer adoption technological innovation
《农业科学与工程前沿（英文）》 2021年 第8卷 第4期 doi: 10.15302/J-FASE -2020355
Agriculture faces the dual challenges of food security and environmental sustainability. Here, we investigate current maize production at the field scale, analyze the yield gaps and impacting factors, and recommend measures for sustainably closing yield gaps. An experiment was conducted on a 3.9-ha maize seed production field in arid north-western China, managed with border and drip irrigation, respectively, in 2015 and 2016. The relative yield reached 70% in both years. However, drip irrigation saved 227 mm irrigation water during a drier growing season compared with traditional border irrigation, accounting for 44% of the maize evapotranspiration (ET). Yield variability under drip irrigation was 12.1%, lower than the 18.8% under border irrigation. Boundary line analysis indicates that a relative yield increase of 8% to 10% might be obtained by optimizing the yield-limiting factors. Plant density and soil available water content and available nitrogen were the three major factors involved. In conclusion, closing yield gaps with agricultural sustainability may be realized by optimizing agronomic, irrigation and fertilizer management, using water-saving irrigation methods and using site-specific management.
关键词： boundary line analysis irrigation method precision agriculture spatial variability yield gaps yield-limiting factors
Do not let precision medicine be kidnapped
null
《医学前沿（英文）》 2015年 第9卷 第4期 页码 512-513 doi: 10.1007/s11684-015-0425-8
Obama’s precision medicine initiative made the medical community boil over after the initiative’s release. Precision medicine has been advocated by the majority of scientists and doctors. However, some experts have questioned this concept. This article does not oppose precision medicine. However, the incentive of vigorously promoting precision medicine at present is a concern.
China’s Agriculture Green Development: from Concept to Actions
《农业科学与工程前沿（英文）》 doi: 10.15302/J-FASE-2023512
● A target-threshold indicator evaluation system is proposed to measure China’s agriculture transformation.
关键词： agricultural transformation Agriculture Green Development historical trend indicator system theoretical conception
Review on the progress of ultra-precision machining technologies
Julong YUAN, Binghai LYU, Wei HANG, Qianfa DENG
《机械工程前沿（英文）》 2017年 第12卷 第2期 页码 158-180 doi: 10.1007/s11465-017-0455-9
Ultra-precision machining technologies are the essential methods, to obtain the highest form accuracy and surface quality. As more research findings are published, such technologies now involve complicated systems engineering and been widely used in the production of components in various aerospace, national defense, optics, mechanics, electronics, and other high-tech applications. The conception, applications and history of ultra-precision machining are introduced in this article, and the developments of ultra-precision machining technologies, especially ultra-precision grinding, ultra-precision cutting and polishing are also reviewed. The current state and problems of this field in China are analyzed. Finally, the development trends of this field and the coping strategies employed in China to keep up with the trends are discussed.
关键词： ultra-precision grinding ultra-precision cutting ultra-precision polishing research status in China development tendency
Policy options for Agriculture Green Development by farmers in China
Laurence E. D. SMITH
《农业科学与工程前沿（英文）》 2020年 第7卷 第1期 页码 90-97 doi: 10.15302/J-FASE-2019290
Farmers are the key agents who manage land and water. Agriculture Green Development (AGD) requires a transformation in farming from high resource consumption and environmental cost to sustainable intensification with high productivity, high resource use efficiency and low environmental risk. This paper analyzes the public policy challenge of AGD and makes the case for a location-sensitive policy mix made up of regulation, advice provision, voluntarism and targeted incentives. The public agricultural extension service in China is a key resource, but one that requires reorientation and reform with the aim of better balancing high farm productivity with environmental protection.
关键词： agriculture environment development incentives policy regulation
Self-generation of machining precision and its realization in lapping of super precision solid balls
ZHANG Bopeng
《机械工程前沿（英文）》 2008年 第3卷 第3期 页码 348-353 doi: 10.1007/s11465-008-0065-7
关键词： self-generation necessary self-regulation capability viewpoint Necessary
HIGHLIGHTS OF THE SPECIAL ISSUE “CARBON NEUTRALITY AND A LOW CARBON ECONOMY FOR AGRICULTURE”
《农业科学与工程前沿（英文）》 2023年 第10卷 第2期 页码 153-154 doi: 10.15302/J-FASE-2023497
遥感和精准农业技术在作物病害检测与管理中的应用实例 Review
杨成海
《工程（英文）》 2020年 第6卷 第5期 页码 528-532 doi: 10.1016/j.eng.2019.10.015
长期以来，遥感技术一直被应用于作物病害的检测和地图绘制工作。在作物生长季节获得的机载和卫星图像不仅可以用于某些病害的早期发现和季节内管理，还可用于未来季节中复发性病害的管控。尽管传统的地毯式杀虫剂施用更适于对付能够迅速在田间传播的病害，然而，在作物病害稳定的情况下，精准农业中的变量控制技术（VRT）亦可以有针对性地对受感染地区的作物有效施用杀菌剂。本文简述了已用于作物病害检测和管理的遥感技术和精准农业技术。具体来说，本文详细阐明了利用机载技术、卫星图像和VRT在棉田中检测棉花根腐病（一种破坏性的土壤传播性真菌病）和绘制分布地图的原理，介绍了从图像中提取处方图以施用定点杀菌剂并有效控制作物病害的方法。本文介绍的案例和方法力图为研究人员、推广人员、种植者、作物顾问、农场设备和化学品经销商提供有关遥感检测和有效管理某些作物病害的实用指南。
Human pangenome: far-reaching implications in precision medicine
《医学前沿（英文）》 doi: 10.1007/s11684-023-1039-1
标题 作者 时间 类型 操作
Review of operational management in intelligent agriculture based on the Internet of Things
Xiangpei HU, Lijun SUN, Yaxian ZHOU, Junhu RUAN
期刊论文
Feature extraction of hyperspectral images for detecting immature green citrus fruit
Yongjun DING, Won Suk LEE, Minzan LI
期刊论文
A proposed framework for accelerating technology trajectories in agriculture: a case study in China
Beth CLARK, Glyn D. JONES, Helen KENDALL, James TAYLOR, Yiying CAO, Wenjing LI, Chunjiang ZHAO, Jing CHEN, Guijun YANG, Liping CHEN, Zhenhong LI, Rachel GAULTON, Lynn J. FREWER
期刊论文
PLANT DENSITY, IRRIGATION AND NITROGEN MANAGEMENT: THREE MAJOR PRACTICES IN CLOSING YIELD GAPS FOR AGRICULTURAL SUSTAINABILITY IN NORTH-WEST CHINA
期刊论文
Review on the progress of ultra-precision machining technologies
Julong YUAN, Binghai LYU, Wei HANG, Qianfa DENG
期刊论文
Self-generation of machining precision and its realization in lapping of super precision solid balls
ZHANG Bopeng
期刊论文
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