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| 1 | Global Wheat Head Detection(GWHD)Dataset:A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods显示文摘The detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population density and head characteristics such as health,size,maturity stage,and the presence of awns.Several studies have developed methods for wheat head detection from high-resolution RGB imagery based on machine learning algorithms.However,these methods have generally been calibrated and validated on limited datasets.High variability in observational conditions,genotypic differences,development stages,and head orientation makes wheat head detection a challenge for computer vision.Further,possible blurring due to motion or wind and overlap between heads for dense populations make this task even more complex.Through a joint international collaborative effort,we have built a large,diverse,and well-labelled dataset of wheat images,called the Global Wheat Head Detection(GWHD)dataset.It contains 4700 high-resolution RGB images and 190000 labelled wheat heads collected from several countries around the world at different growth stages with a wide range of genotypes.Guidelines for image acquisition,associating minimum metadata to respect FAIR principles,and consistent head labelling methods are proposed when developing new head detection datasets.The GWHD dataset is publicly available at http://gffzzef49fa24bca249bbhv0qvnvc5f99v6xu5.ffgz.tsg.suse.edu.cn/and aimed at developing and benchmarking methods for wheat head detection. | Etienne David Simon Madec Pouria Sadeghi-Tehran Helge Aasen Bangyou Zheng Shouyang Liu Norbert Kirchgessner Goro Ishikawa Koichi Nagasawa Minhajul A.Badhon Curtis Pozniak Benoit de Solan Andreas Hund Scott C.Chapman Frédéric Baret Ian Stavness Wei Guo | 2020 | Plant Phenomics2020，2，1： | 13 |
| 2 | Probabilistic Assessment of Impact of Flexible Loads Under Network Tariffs in Low-voltage Distribution Networks显示文摘Given the historically static nature of low-voltage networks, distribution network companies do not possess the tools for dealing with an increasingly variable demand due to the high penetration of distributed energy resources (DERs). Within this context, this paper proposes a probabilistic framework for tariff design that minimises the impact of DER on network performance, stabilises the revenue of network company, and improves the equity of network cost allocation. To deal with the lack of customers’ response, we also show how DER-specific tariffs can be complemented with an automated home energy management system (HEMS) that reduces peak demand while retaining the desired comfort level. The proposed framework comprises a nonparametric Bayesian model which statistically generates synthetic load and PV traces, a hot-water-use statistical model, a novel HEMS to schedule customers’ controllable devices, and a probabilistic power flow model. Test cases using both energy- and demand-based network tariffs show that flat tariffs with a peak demand component reduce the customers’ cost, and alleviate network constraints. This demonstrates, firstly, the efficacy of the proposed tool for the development of tariffs that are beneficial for the networks with a high penetration of DERs, and secondly, how customers’ HEM systems can be part of the solution. | Donald Azuatalam Archie C.Chapman Gregor Verbic | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，4： | 1 |
| 3 | Biliary strictures in pediatric liver transplant recipients – Early diagnosis and treatment results in excellent graft outcomes显示文摘 | Christopher D.Anderson Yumirle P.Turmelle MichaelDarcy Ross W.Shepherd AlexanderWeymann MichelleNadler SandraGuelker William C.Chapman Jeffrey A.Lowell | 2010 | Pediatric Transplantation2010，，3： | 1 |
| 4 | Relationships between hard‐seededness and seed weight in mungbean (Vigna radiata) assessed by QTL analysis显示文摘 | M. E.Humphry C. J.Lambrides S. C.Chapman E. A. B.Aitken B. C.Imrie R. J.Lawn C. L.Mcintyre C. J.Liu | 2008 | Plant Breeding2008，，3： | 1 |
| 5 | 清洁技术亟待创新显示文摘尽管政府一直在大力推动清洁技术的发展,然而新兴的清洁技术公司仍然面临着技术、产权、资金等瓶颈问题。 | James C.Chapman 钱韵吉 | 2011 | 投资与合作2011，，10： | 0 |
| 6 | 在斯里兰卡亲历亚洲海啸显示文摘美国地球物理联合会(AGU)资深会员恰普曼(Chris Chapman)在斯里兰卡亲身经历了这次破坏性的海啸。以下是他刚刚离开这次灾难返回时的报道;脚注是后来加上的。恰普曼是Schlumberger剑桥研究中心的科学顾问,也是一位理论地震学家。 | C.Chapman 杨智娴 陈运泰 | 2005 | 世界地震译丛2005，，1： | 0 |
| 7 | Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning显示文摘High-throughput phenotyping has become the frontier to accelerate breeding through linking genetics to crop growth estimation,which requires accurate estimation of leaf area index(LAI).This study developed a hybrid method to train the random forest regression(RFR)models with synthetic datasets generated by a radiative transfer model to estimate LAI from UAV-based multispectral images. | Qiaomin Chen Bangyou Zheng Karine Chenu Pengcheng Hu Scott C.Chapman | 2022 | Plant Phenomics2022，4，1： | 0 |
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