Development of a Simplified Smart Agriculture System for Small-scale Greenhouse Farming

被引:27
作者
Rubanga, Denis Pastory [1 ]
Hatanaka, Katsumori [2 ]
Shimada, Sawahiko [3 ]
机构
[1] Tokyo Univ Agr, Grad Sch Agr, Dept Agr Engn, Setagaya Ku, Tokyo 1568502, Japan
[2] Tokyo Univ Agr, Fac Int Biobusiness, Setagaya Ku, Tokyo 1568502, Japan
[3] Tokyo Univ Agr, Fac Reg Environm Sci, Setagaya Ku, Tokyo 1568502, Japan
关键词
wireless sensor network; smart agriculture; small-scale greenhouse farmer; microclimate;
D O I
10.18494/SAM.2019.2154
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A challenge exists in horticultural greenhouse farming as a result of the current decline in the agriculture labor force in Japan. Although there is a need for cutting-edge technological Information and Communications Technology (ICT) application in agriculture, few small-scale farmers are willing to risk significant capital on sensing technologies. In this study, a simplified smart agriculture system using limited resource expense was developed and applied in a tomato greenhouse. The system's real-time information capability is composed of commercial inexpensive wireless sensor network (WSN) devices, and a developed web database (web DB) for daily activity data collection was used for crop environment monitoring and management. The crop microclimate environment was monitored on the basis of an agroclimatic index, namely, growing degree day (GDD). Microclimate spatiotemporal distributions using GDD were also determined, which showed well-defined microclimate variations within the greenhouse. Crop calendars were embedded into the developed web DB for tomato farms. We drew conclusions for better crop management and crop yields using our smart agriculture system. The applicability of the system based on initial cost, running costs, and the reliability of WSN data makes it cost-effective. Consequently, it could be used for the accurate crop production planning and decision making of cultivation activities.
引用
收藏
页码:831 / 843
页数:13
相关论文
共 14 条
[1]  
Akima H., 1978, ACM Transactions on Mathematical Software, V4, P148, DOI 10.1145/355780.355786
[2]   Wireless sensor networks: a survey [J].
Akyildiz, IF ;
Su, W ;
Sankarasubramaniam, Y ;
Cayirci, E .
COMPUTER NETWORKS, 2002, 38 (04) :393-422
[3]  
[Anonymous], 2006, 20 INT PARALLEL DIST, DOI DOI 10.1109/IPDPS.2006.1639412
[4]   ESTIMATION OF SPRING WHEAT LEAF GROWTH-RATES AND ANTHESIS FROM AIR-TEMPERATURE [J].
BAUER, A ;
FRANK, AB ;
BLACK, AL .
AGRONOMY JOURNAL, 1984, 76 (05) :829-835
[5]   Dynamic modeling and simulation of greenhouse environments under several scenarios: A web-based application [J].
Fitz-Rodriguez, Efren ;
Kubota, Chieri ;
Giacomelli, Gene A. ;
Tignor, Milton E. ;
Wilson, Sandra B. ;
McMahon, Margaret .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2010, 70 (01) :105-116
[6]  
ITO HIDEO, 1962, TOHOKU JOUR AGRIC RES, V13, P191
[7]   A Wireless Sensor Network for Growth Environment Measurement and Multi-Band Optical Sensing to Diagnose Tree Vigor [J].
Kameoka, Shinichi ;
Isoda, Shuhei ;
Hashimoto, Atsushi ;
Ito, Ryoei ;
Miyamoto, Satoru ;
Wada, Genki ;
Watanabe, Naoki ;
Yamakami, Takashi ;
Suzuki, Ken ;
Kameoka, Takaharu .
SENSORS, 2017, 17 (05)
[8]  
Kameoka T., 2013, Wireless Sensor Networks and Ecological Monitoring, VVolume 3, P217
[9]   Effective Application of ICT in Food and Agricultural Sector-Optical Sensing is Mainly Described [J].
Kameoka, Takaharu ;
Hashimoto, Atsushi .
IEICE TRANSACTIONS ON COMMUNICATIONS, 2015, E98B (09) :1741-1748
[10]  
Miller P., 2018, Using Growing Degree Days to Predict Plant Stages, Patent No. [MT200103AG7/2001, 20012001037]