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Characterization of peach tree crown by using high-resolution images from an unmanned aerial vehicle

Horticulture Research 2018年第1期5卷 22-31页

作者： Yue Mu yuichiro fujii Daisuke Takata Bangyou Zheng Koji Noshita Kiyoshi Honda Seishi Ninomiya Wei Guo International Field Phenomics Research Laboratory Institute for Sustainable Agro-ecosystem ServicesThe University of Tokyo1-1-1 Midori-choNishi-TokyoTokyo188-0002Japan Research Institute for Agriculture Okayama Prefectural Technology Center for AgricultureForestry and Fisheries1174-1 KodaokiAkaiwaOkayama709-0801Japan Fukushima University 1 KanayagawaFukushimaFukushima960-1248Japan CSIRO Agriculture and Food Queensland Bioscience Precinct306 Carmody RoadSt.LuciaQLD4067Australia JST PRESTO Kawaguchi Center Building4-1-8 HonchoKawaguchiSaitama332-0012Japan Graduate School of Agricultural and Life Sciences The University of Tokyo1-1-1 YayoiBunkyoTokyo113-8657Japan International Digital Earth Applied Science Research Center Chubu University1200 MatsumotochoKasugaiAichi-ken487-8501Japan

In orchards, measuring crown characteristics is essential for monitoring the dynamics of tree growth and optimizing farm management. However, it lacks a rapid and reliable method of extracting the features of trees with an irregular crown shape such as trained peach trees. Here, we propose an efficient method of segmenting the individual trees and measuring the crown width and crown projection area (CPA) of peach trees with time-series information, based on gathered images. The images of peach trees were collected by unmanned aerial vehicles in an orchard in Okayama, Japan, and then the digital surface model was generated by using a Structure from Motion (SfM) and Multi-View Stereo (MVS) based software. After individual trees were identified through the use of an adaptive threshold and marker-controlled watershed segmentation in the digital surface model, the crown widths and CPA were calculated, and the accuracy was evaluated against manual delineation and field measurement, respectively. Taking manual delineation of 12 trees as reference, the root-mean-square errors of the proposed method were 0.08 m (R^(2) = 0.99) and 0.15 m (R^(2) = 0.93) for the two orthogonal crown widths, and 3.87 m2 for CPA (R^(2) = 0.89), while those taking field measurement of 44 trees as reference were 0.47 m (R^(2) = 0.91), 0.51 m (R^(2) = 0.74), and 4.96 m2 (R^(2) = 0.88). The change of growth rate of CPA showed that the peach trees grew faster from May to July than from July to September, with a wide variation in relative growth rates among trees. Not only can this method save labour by replacing field measurement, but also it can allow farmers to monitor the growth of orchard trees dynamically.

关键词： crown tree watershed

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Simple scoring system for predicting cirrhosis in nonalcoholic fatty liver disease

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World Journal of Gastroenterology 2014年第29期20卷 10108-10114页

作者： Takaomi Kessoku Yuji Ogawa Masato Yoneda Kento Imajo Yoshio Sumida yuichiro Eguchi Hideki fujii Hideyuki Hyogo Masafumi Ono Yasuaki Suzuki Takumi Kawaguchi Kazuaki Chayama Saiyu Tanaka Kazuma Fujimoto Keizo Anzai Toshiji Saibara Michio Sata Yoshito Itoh Atsushi Nakajima Takeshi Okanoue Japan Study Group of NAFLD(JSG-NAFLD)[] Department of Gastroenterology Hepatology Yokohama City University Graduate School of MedicineYokohama 236-0004Japan Department of Molecular Gastroenterology Hepatology Kyoto Prefectural University of Medicine Kyoto 602-0841Japan Department of General Medicine Saga Medical School Saga 849-8501Japan Department of Hepatology Osaka City University Osaka 558-8585Japan Department of Medicine Molecular Science Graduate School of Biomedical Sciences Hiroshima University Hiroshima 730-0053 Japan Department of Gastroenterology and Hepatology Kochi Medical School Kochi 783-8505 Japan Department of Gastroenterology Nayoro City General Hospital Hokkaido 096-8511 Japan Department of Gastroenterology Kurume University School of Medicine Kurume 830-0011 Japan Department of Internal Medicine University Hospital Saga 849-8577 Japan Department of Gastroenterology Hepatology Saiseikai Suita Hospital Osaka 565-0862 Japan

AIM: To investigate a simple noninvasive scoring system for predicting liver cirrhosis in nonalcoholic fatty liver disease (NAFLD) patients.

关键词： Nonalcoholic fatty liver disease Cirrhosis Fibrosis Platelet Albumin Alanine aminotransferase ratio

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