Rchr
J-GLOBAL ID：201701014946327079
Update date: Aug. 25, 2022
Sekiyama Ayako
Sekiyama Ayako
Papers (22)：
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K. Zhang, A. Sekiyama, H. Okazawa, Y. Yamazaki, K. Hayashi, O. Tsuji, M. Akimoto. Comparison of Crop Surface Models and 3D Point Clouds by UAV Imagery on Estimating Plant Height and Biomass Volume of Pasture Grass. International Journal of Environmental and Rural Development. 2022. in press
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Takumi SATO, Ayako Sekiyama, Syuhei SAITO, Sawahiko SHIMADA. Applicability of Farmlands Detection in Djibouti from Satellite Imagery using Deep Learning. Journal of Arid Land Studies. 2022. in press
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Sergio Azael, May Cuevas, Denis Pastory Rubanga, Shuhei Saito, Ayako Sekiyama, Sawahiko Shimada, Dayah Aden Guirreh, Abdillahi Houssein Abdallah. Land Cover Classification of Arid Land in Ali Faren, Djibouti, using 3D Point Cloud Data Obtained by UAV Imagery. Journal of Arid Land Studies. 2022. in press
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MAKOTO SHINOZAKI, SAWAHIKO SHIMADA, AYAKO SEKIYAMA, KIYOSHI TAJIMA, HASSAN ALI BARKAD. Efficiency Evaluation of Solar Pumping System for Wadi Agriculture in Djibouti. International Journal of Environmental and Rural Development. 2020. 11. 2. 98-103
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Ayako SEKIYAMA, Kiyohisa SATO, Sawahiko Shimada, Tomonori FUJIKAWA. Monitoring the growth and quality of Japanese green tea by UAV imagery. AGROFOR International Journal. 2020. 5. 2. 28-34
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MISC (2)：
Books (4)：
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生物科学系・農学系のための情報処理2022
東京農業大学情報教育センター 2022
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沙漠学事典
丸善株式会社 2020
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はかる つくる えがく・そだてる みどりの地域を育む~地域環境科学がわかる本
東京農業大学出版会 2015
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生物科学系・農学系のための情報処理2015
東京農業大学コンピューターセンター 2015
Lectures and oral presentations (2)：
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Applicability of Estimation Method for Soil Moisture in Mongolian Grasslands using a Pattern Decomposition Method
(The 6th International Conference on Environmental and Rural Development 2015)
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MONITORING OF GRASSLAND DEGRADATION USING REMOTE SENSING DATA IN MONGOLIA
(The 11th Desert Technology 2013)
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