Next Article in Journal
Orthogonal Chirp-Based Ultrasonic Positioning
Next Article in Special Issue
Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils
Previous Article in Journal
Time-Aware Service Ranking Prediction in the Internet of Things Environment
Article

A Wireless Sensor Network for Growth Environment Measurement and Multi-Band Optical Sensing to Diagnose Tree Vigor

1
Graduate School of Bioresources, Mie University, 1577 Kurimamachiya-cho, Tsu City 514-8507, Mie, Japan
2
Sumitomo Precision Products Co., Ltd., 1-10 Fuso-cho, Amagasaki City 660-0891, Hyogo, Japan
3
Tomi no Oka Winery, Suntory Wine International Limited, 2786, Ohnuta Kai-shi 400-0103, Yamanashi, Japan
4
Department of Agriculture, Kisyu Agricultural Extension Center, Mie Prefectural Government, 371 Idomachi, Kumano City 519-4300, Mie, Japan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Dimitrios Moshou
Sensors 2017, 17(5), 966; https://doi.org/10.3390/s17050966
Received: 8 March 2017 / Revised: 20 April 2017 / Accepted: 23 April 2017 / Published: 27 April 2017
(This article belongs to the Special Issue Sensors in Agriculture)
We have tried to develop the guidance system for farmers to cultivate using various phenological indices. As the sensing part of this system, we deployed a new Wireless Sensor Network (WSN). This system uses the 920 MHz radio wave based on the Wireless Smart Utility Network that enables long-range wireless communication. In addition, the data acquired by the WSN were standardized for the advanced web service interoperability. By using these standardized data, we can create a web service that offers various kinds of phenological indices as secondary information to the farmers in the field. We have also established the field management system using thermal image, fluorescent and X-ray fluorescent methods, which enable the nondestructive, chemical-free, simple, and rapid measurement of fruits or trees. We can get the information about the transpiration of plants through a thermal image. The fluorescence sensor gives us information, such as nitrate balance index (NBI), that shows the nitrate balance inside the leaf, chlorophyll content, flavonol content and anthocyanin content. These methods allow one to quickly check the health of trees and find ways to improve the tree vigor of weak ones. Furthermore, the fluorescent x-ray sensor has the possibility to quantify the loss of minerals necessary for fruit growth. View Full-Text
Keywords: wireless sensor network (WSN); Wi-SUN; vine; mandarin orange; thermal image; fluorescent measurement; X-ray fluorescence spectroscopy wireless sensor network (WSN); Wi-SUN; vine; mandarin orange; thermal image; fluorescent measurement; X-ray fluorescence spectroscopy
Show Figures

Figure 1

MDPI and ACS Style

Kameoka, S.; Isoda, S.; Hashimoto, A.; Ito, R.; Miyamoto, S.; Wada, G.; Watanabe, N.; Yamakami, T.; Suzuki, K.; Kameoka, T. A Wireless Sensor Network for Growth Environment Measurement and Multi-Band Optical Sensing to Diagnose Tree Vigor. Sensors 2017, 17, 966. https://doi.org/10.3390/s17050966

AMA Style

Kameoka S, Isoda S, Hashimoto A, Ito R, Miyamoto S, Wada G, Watanabe N, Yamakami T, Suzuki K, Kameoka T. A Wireless Sensor Network for Growth Environment Measurement and Multi-Band Optical Sensing to Diagnose Tree Vigor. Sensors. 2017; 17(5):966. https://doi.org/10.3390/s17050966

Chicago/Turabian Style

Kameoka, Shinichi, Shuhei Isoda, Atsushi Hashimoto, Ryoei Ito, Satoru Miyamoto, Genki Wada, Naoki Watanabe, Takashi Yamakami, Ken Suzuki, and Takaharu Kameoka. 2017. "A Wireless Sensor Network for Growth Environment Measurement and Multi-Band Optical Sensing to Diagnose Tree Vigor" Sensors 17, no. 5: 966. https://doi.org/10.3390/s17050966

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop