Updated on 2024/10/15

写真a

 
KANDA Eiji
 
Organization
Research Field in Agriculture, Agriculture, Fisheries and Veterinary Medicine Area Faculty of Agriculture Department of Agriculture Associate Professor
Title
Associate Professor

Degree

  • 農学博士 ( 2005.3   京都大学 )

Research Areas

  • Others / Others  / 農業気象学

  • Others / Others  / 作物学

  • Others / Others  / 農業情報学

Research History

  • Kagoshima University   Associate Professor

    1949.4

Professional Memberships

  • 育種学会

    2015.10

  • システム農学

    2015.10

  • 農業情報学会

    2015.10

  • 日本作物学会

    2015.10

  • 農業気象学会

    2015.10

 

Papers

  • KONDO Tsuyoshi, FUKUMOTO Shinya, KASHIMA Masayuki, WATANABE Mutsumi, KANDA Eiji, IKEZAWA Kazuhiro .  Research on estimation of plant height on vegetables by RGB-D camera for Smart Agriculture .  Journal of the Japanese Agricultural Systems Society38 ( 1 ) 15 - 24   2022.3Research on estimation of plant height on vegetables by RGB-D camera for Smart Agriculture

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    Language:Japanese   Publisher:The Japanese Agricultural Systems Society  

    <p>Plant height, or the natural height from the ground surface to the top of a plant, is an essential metric for estimating the growth status of cultivated vegetables. The variation of plant height over time indicates the intensity of plant vigor, determining the amount of irrigation and fertilizer application during cultivation. Recently, various 3D-shape measuring instruments have been used for automatic plant height measurement, among which the RGB-D camera is reported to be relatively inexpensive and easy to acquire depth data. The previous study proposed an RGB-D camera-based plant height estimation method that assesses the plant height by averaging the 5% and 10% uppermost pixels. However, some unexpected inclusion into the pixels with the leaves closing to the top of stems lowers the estimated height, resulting in low accuracy (84%~100% and 45%~100%, respectively). This paper presents a novel algorithm to search the tops of stems to estimate the plant height. An RGB-D camera was placed directly above the target plants to continuously take pictures from the planting stage when the density of leaves was relatively small. The algorithm marked the highest pixel as the first top of plant stems and excluded a specific range around it before continuing the search, aiming to eliminate the influence from the lower leaves. This process was repeated until the number of found tops agreed with the number of stems; the plant height was then calculated by averaging the height of stem tops. As an evaluation experiment, the estimated height was compared with the measured value, showing a high accuracy of 94%~100% in our method.</p>

    DOI: 10.14962/jass.38.1_15

  • YOKOYAMA Akira, SHIBAYAMA Michio, BANZAI Kenji, KANDA Eiji, ABE Kaoru, KIMURA Akihiko .  Non-contact measurements of surface runoff on sloping farmlands:-A video-based field monitoring system for calculating runoff amount- .  Journal of the Japanese Agricultural Systems Society35 ( 4 ) 69 - 80   2019

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    Publisher:The Japanese Agricultural Systems Society  

    <p>In recent years, the increased occurrence of sudden heavy rains in Japan has increased the occurrences of surface runoff from sloping farmlands. These runoff events negatively affect the ecosystems owing to the leaching of fertilizer components and/or heavy metals into local watersheds. Parshall flumes have been conventionally used for measuring the extent of surface runoff combined with water-level gauges installed at the bottom edge of sloping farmlands. However, data obtained using this equipment are unreliable because of the direct contact of sensors with various objects, such as pile-ups of crop residues and/or soil particles. To avoid this problem, we propose a novel method herein. Firstly, we devised a time-lapse camera which shot the inside-view images of the Parshall flume and used automatically captured time-lapse images of water flow running through the Parshall flume to estimate the precise runoff extent by detecting the instantaneous water depth using image processing techniques. Second, we devised an automated video-capturing system and positioned it 1.8 m above the ground in an outdoor artificial sloping field in Kagoshima, Japan. Vertically captured video-images of the surface runoff were obtained during a severe runoff event. We analyzed the captured video-images using particle tracking velocimetry to determine the velocity of the moving surface water. The widths of surface water flow were also measured on the video-images. We estimated the runoff amounts using the velocity and the flow width, in addition to the given slope gradient and a literature value of the equivalent roughness coefficient for the soil. The results of two techniques are comparable, especially at severe rainfall and runoff occasions, in which one was measured using the Parshall flume with time-lapse images and the other was measured using the vertically captured video-images. The proposed method may provide estimates of the amount of the surface runoff during intense rainfall events solely using video-images.</p>

    DOI: 10.14962/jass.35.4_69

  • Kanno Hiromitsu, Yamazaki Takeshi, Okubo Sayuri, Iwasaki Toshiki, Kanda Eiji, Kobayashi Takashi .  The 1km mesh-size rice leaf wetness time forecast map using relative humidity .  Proceedings of the General Meeting of the Association of Japanese Geographers2018 ( 0 )   2018

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    Publisher:The Association of Japanese Geographers  

    The 1km mesh-size rice leaf wetness time forecast map was made by using relative humidity. This is effective for the predicton of rice-blast desease.

    DOI: 10.14866/ajg.2018s.0_000066

  • SHIBAYAMA Michio, HAYASHIDA Ryota, KANDA Eiji, SHIMOTASHIRO Tomohide, KIMURA Akihiko .  Continuously observed spectral reflectance imagery in the monitoring ofrice leaf greenness:- Effective bi-band ratio and observation time of day - .  Journal of the Japanese Agricultural Systems Society34 ( 3 ) 67 - 76   2018

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    Publisher:The Japanese Agricultural Systems Society  

    <p>We demonstrated a close-range sensing technique to seasonally track trends in canopy leaf greenness in rice paddies. A weatherproof narrow-band triplet digital camera system was positioned 3 m above a paddy rice field during the 2017 rice season in Kagoshima. The system automatically logged reflectance images at 10-min intervals from 8:00 to 16:00 in visible green (560 ± 10 nm), red (650 ± 10 nm), and near-infrared (855 ± 10 nm) bands. Two rice cultivars were grown at two fertilizer concentrations and seedling numbers in three replicates in concrete-framed plots. The camera was mounted on a platform at the top of an iron pole installed on a handcart built with scaffolding pipes. The east-looking camera captured oblique images of four plots (2 × 2 plots) with the camera's axis tilted 65<sup>o</sup> from vertical with the handcart positioned 3.2 m away from the west side of the plots. To capture images of a different group of plots each day, the handcart was manually moved to a randomly chosen set position among the five predetermined positions north and south along the field on the concrete-paved open side area every morning. Radiometric corrections for images utilized solar irradiance sensors and prior calibrations to calculate instantaneous reflectance in each band. The leaf greenness value (SPAD) and the leaf area index (LAI) were weekly collected for rice canopies, and daily values were obtained by interpolating the weekly data. From reflectance images, SPAD and LAI data were analyzed for 35-day period including the panicle formation stage. The canopy greenness index, defined as the product of (SPAD – 30) and LAI (which potentially represents canopy nitrogen condition), highly correlated (r = 0.62, n = 4276) with the canopy surface averages of the bi-band ratio (NIR/Green), where NIR and Green indicate the reflectance values in the near-infrared and green band, respectively. Further investigations including daily-averaged or hourly-sampled reflectance and/or bi-band ratios revealed that the correlation coefficient for the daily-averaged reflectance was 0.71(n = 128) and that for the hourly-sampled reflectance was 0.73 (n = 528) for the 15:00–16:00 period and 0.62 (n = 690) for the 11:00–14:00 period. We found that NIR/Green values obtained during the late afternoon time period best tracked the canopy greenness and differences in the cultivar and fertilization levels.</p>

    DOI: 10.14962/jass.34.3_67

  • YUTAKA Kojiro, SHIBAYAMA Michio, BANZAI Kenji, KANDA Eiji, ITAHASHI Sunao, ABE Kaoru, KIMURA Akihiko .  Time-lapse photography in measurements of surface runoff from sloping farmland:-Dynamics of runoff water volumes pooled at the bottom of a sloping field- .  Journal of the Japanese Agricultural Systems Society33 ( 1 ) 11 - 21   2017

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    Publisher:The Japanese Agricultural Systems Society  

    <p>In recent years, the increased incidence of sudden heavy rains in Japan has enhanced the occurrences of surface runoff from sloping farmlands. These runoff events negatively affect the ecosystems due to leaching of fertilizer components and/or heavy metals into local watersheds. Water-level meters installed at the bottom edge of sloping farmlands have been conventionally used for measuring the extent of surface runoff. However, data provided by this equipment are unreliable because of the direct contact of sensors with various objects, such as pile-ups of crop residues and/or soil particles. To avoid this disadvantage, we herein propose a novel method that uses automatically captured time-lapse images of surface runoff. We devised an automated image-capturing system and have been using it in an outdoor artificial sloping field in Ibaraki Prefecture, Japan for over three months. Several sets of captured images, recorded actual rainfall levels, and runoff amounts were obtained during five typical runoff events caused by natural rainfalls. The captured images were analyzed at 10-minute intervals to determine the total volumes of water pools that were eventually formed with accumulated runoff water at the bottom of the sloping experimental field during each event. The estimates of accumulated water volume reasonably correlated with the instantaneous rainfall levels (r = 0.79***). Calculations were done for eight intense rainfall peaks during the observation period, assuming that the actual runoff amount could be estimated as the sum of the water amount measured with the water-level meter and the amount of accumulated water increased with time. We found that ratios of the amounts of surface runoff to rainfall water in each of the 10-minute intervals were within the range 12-59%. Our results are consistent with those of a previously published report of an experiment conducted at the same site but with a different method. The proposed method may provide more precise estimates of the amount of surface runoff during intense rainfall events.</p>

    DOI: 10.14962/jass.33.1_11

  • Eiji KANDA, Hiromitsu KANNO, Sayuri OKUBO, Teruhisa SHIMADA, Ryuhei YOSHIDA, Takashi KOBAYASHI and Toshiki IWASAKI .  Estimation of Cool Summer Damage in the Tohoku Region Based on the MRI AGCM .  Journal of Agricultural Meteorology70 ( 4 ) 187 - 198   2014.12Estimation of Cool Summer Damage in the Tohoku Region Based on the MRI AGCMReviewed

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Hiromitsu Kanno, Masahiro Watanabe, Eiji Kanda .  MIROC5 predictions of Yamase (cold northeasterly winds causing cool summers in northern Japan) .  Journal of Agricultural Meteorology69 ( 3 ) 117 - 125   2013.9MIROC5 predictions of Yamase (cold northeasterly winds causing cool summers in northern Japan)Reviewed

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  • 山口弘道、吉永悟志、白土宏之、神田英司、福嶌 陽、福田あかり、長田健二、浅野真澄、八島由美、三上雄史、和泉 佳、今川彰教、安藤 正 .  白米アミロース含有率の推定による白濁が少ない低アミロース米生産のための栽培適地・適作期の推定法 .  日本作物学会記事81 ( 3 ) 281 - 291   2012.7白米アミロース含有率の推定による白濁が少ない低アミロース米生産のための栽培適地・適作期の推定法Reviewed

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  • 神田英司、木村利行、及川あや、大川茂範、佐々木次郎、浅野真澄、佐藤雄幸、金 和裕、藤井弘志、藤村恵人、鈴木幸雄、濵嵜孝弘、根本 学、下野裕之 .  イネ穂ばらみ期耐冷性の地域間の変動要因と栄養生長期の温度環境の関係 .  日本作物学会記事81 ( 2 ) 190 - 193   2012.4イネ穂ばらみ期耐冷性の地域間の変動要因と栄養生長期の温度環境の関係Reviewed

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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MISC

  • センシングドローンとGPSレベラーの活用によるかんしょ産地における基腐病軽減技術

    神田英司

    砂糖類・でん粉情報   ( 137 )   8 - 13   2024.2

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    Language:Japanese   Publishing type:Internal/External technical report, pre-print, etc.  

  • センシングと情報通信技術(ICT)に基づくスマート農業の実証

    神田英司

    電波技術協会報   ( 345 )   24 - 27   2022.3

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    Language:Japanese   Publishing type:Internal/External technical report, pre-print, etc.  

Presentations

  • 神田英司,原口大,小林輝彦   宮古島における近年のさとうきび糖度の解析  

    日本農業気象学会  2019.3  日本農業気象学会

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    Event date: 2019.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:静岡県立大学  

  • 神田英司   ピーマン生産の環境制御による多収化とICT利用の実証   Invited

    施設園芸総合セミナー  2020.2  日本施設園芸協会

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    Event date: 2020.2

    Language:Japanese  

    Venue:東京都江戸川区総合文化センター  

  • 神田英司   さとうきび農業スマート化のための衛星リモートセンシング   Invited

    新たな技術で喜界島の未来を考える  2019.10 

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    Event date: 2019.10

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:喜界町役場  

  • 神田英司   気象変動に適応したスマート農業   Invited

    かごしまTECHミーティング  2024.7  鹿児島市

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    Event date: 2024.7

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:鹿児島市名山町  

  • 神田英司   センシングドローンとGPSレベラーのシェアリングによるさつまいも産地における基腐病軽減技術の実証   Invited

    スマート農業推進フォーラム2023in九州  2023.12  農林水産省九州農政局、農研機構九州沖縄農業研究センター

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    Event date: 2023.12

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:かごしま国際交流センター  

  • 神田英司   鹿児島における気象および センシング情報の活用について   Invited

    農業気象学会九州支部会  2023.12  農業気象学会九州支部

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    Event date: 2023.12

    Language:Japanese   Presentation type:Oral presentation (keynote)  

    Venue:鹿児島大学  

  • 神田英司   センシングドローンとGPSレベラーのシェアリングによるさつまいも産地における基腐病軽減技術について   Invited

    スマート農業推進セミナー  2024.7  九州バイオリサーチネット

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    Event date: 2024.7

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:熊本市国際交流会館ホール  

  • 塩崎賢悟・神田英司   深層学習を用いた雑草識別に関する研究  

    システム農学会2023年度大会  2023.11  システム農学会

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    Event date: 2023.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:広島大学  

  • 神田英司   ドローンによるサツマイモ基腐病の早期検出技術   Invited

    農業生産技術管理学会  2023.10  農業生産技術管理学会

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    Event date: 2023.10

    Language:Japanese   Presentation type:Oral presentation (keynote)  

    Venue:鹿児島大学  

  • 北林 颯太・神田 英司   小型UAVによる空撮画像から算出したRGB植生指数と水稲生育量の関係  

    システム農学会2022年度大会  2022.10  システム農学会

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    Event date: 2022.10

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:福島テルサ  

  • 神田英司   外部気象データを用いたピーマンの出荷量予測の試み  

    日本農業気象学会2021年全国大会  2021.3 

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    Event date: 2021.3

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 神田英司   センシング技術に基づく統合環境制御の高度化によるピーマン栽培体系の実証   Invited

    未来の農業!!「スマート農業」シンポジウム  2021.2  鹿児島きもつき農業協同組合

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    Event date: 2021.2

    Language:Japanese   Presentation type:Symposium, workshop panel (nominated)  

    Venue:鹿児島県鹿屋市  

  • 神田英司   強化型ビニルハウスにおける統合環境制御によるピーマン栽培体系の高度化   Invited

    日本生物環境工学会九州支部2019年久留米大会  2019.11  日本生物環境工学会九州支部

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    Event date: 2019.11

    Language:Japanese  

    Venue:福岡県久留米市  

  • 神田英司   さとうきび圃場のための衛星リモートセンシング   Invited

    サトウキビ農業のIoT化によるスマート農業プロジェクト  鹿児島大学産学・地域共創センター

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    Event date: 2019.9

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 小林 隆、菅野洋光、神田英司、兼松誠司、長谷 修   接種前後の高温処理が葉いもちの発生に及ぼす影響  

    日本植物病理学会平成27年度大会  日本植物病理学会平成27年度大会

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    Event date: 2015.3

    Language:Japanese  

    Venue:東京  

    国内学会

  • 松田 晃、神田 英司   東北地域の水稲作における出穂後の気温条件に基づく高温障害リスクの算定  

    第239回日本作物学会講演会  第239回日本作物学会講演会

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    Event date: 2015.3

    Language:Japanese  

    Venue:神奈川県  

    国内学会

  • 松田晃、神田英司   移植水稲と湛水直播水稲における各品種の好適作期の算定  

    日本作物学会  日本作物学会

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    Event date: 2014.3

    Language:Japanese  

    Venue:千葉県  

    国内学会

  • 神田英司、大久保さゆり、島田照久、吉田龍平、菅野洋光、岩崎俊樹   MRI AGCMによる東北地方における冷害リスク判定の試み  

    日本作物学会  日本作物学会

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    Event date: 2013.9

    Language:Japanese  

    Venue:鹿児島  

    国内学会

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