{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T01:49:41Z","timestamp":1776908981805,"version":"3.51.2"},"reference-count":27,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,12,16]],"date-time":"2018-12-16T00:00:00Z","timestamp":1544918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Fundamental Research Funds for the Central Universities","award":["2015ZCQ-GX-04"],"award-info":[{"award-number":["2015ZCQ-GX-04"]}]},{"name":"National Key R&amp;D Program of China","award":["2017YFD0600901"],"award-info":[{"award-number":["2017YFD0600901"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31670719"],"award-info":[{"award-number":["31670719"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Based on Internet-of-Things and multi-sensor technology, an intelligent wireless monitoring system was developed to obtain field ecological parameters and provide forest fire warning in real-time. The GPRS and China\u2019s Beidou satellite communication were selectively used for date transmission in the field with weak cell phone signals. This monitoring system is mainly composed of several field ecological monitoring stations, a cloud server, and online system software. Atmosphere, soil, sunlight and plant parameters of different regions are obtained real-time by sensors stably and reliably. This system has functions such as field ecological data storage, dynamic query, report generation, and data analysis. As an example of typical application, the forest fire weather grade, which was supplemented with the litter layer soil humidity, was calculated to realize the early warning of the local forest fire in this system through continuous experiments at Beijing Jiufeng National Forest Park from March to May 2017 and Inner Mongolia from March to June 2018. The success ratios of data transmission through Beidou satellite were 98.57%, 99.43%, 99.59%, and 98.85%, respectively, in Beijing, and through GPRS were 99.89% and 99.90% in Inner Mongolia. Long-term real-time field ecological monitoring and forest fire warning were successfully realized. This system can be widely used for big data field acquisition and analysis in forest and agriculture regions.<\/jats:p>","DOI":"10.3390\/s18124457","type":"journal-article","created":{"date-parts":[[2018,12,18]],"date-time":"2018-12-18T02:15:59Z","timestamp":1545099359000},"page":"4457","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["An Intelligent Wireless System for Field Ecology Monitoring and Forest Fire Warning"],"prefix":"10.3390","volume":"18","author":[{"given":"Yili","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yandong","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiping","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengbo","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruting","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Technology, Beijing Forestry University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,16]]},"reference":[{"key":"ref_1","unstructured":"Li, S. (2016). China Smart Forestry: Top-Level Design and Local Practice, China Forestry Publishing House."},{"key":"ref_2","unstructured":"Zhao, F., and Shu, L. (2014). Forest Fire Weather and Forecasting and Early Warning, China Forestry Publishing House."},{"key":"ref_3","first-page":"44","article-title":"Study weather grade prediction model of forest-fire risk in Hunan province","volume":"36","author":"Guo","year":"2016","journal-title":"J. Central South Univ. For. Technol."},{"key":"ref_4","unstructured":"Deng, G. (2012). Effect of Meteorological Factors on Forest Diseases and Insect Pests in Heilongjiang Province. [Ph.D. Thesis, Northeast Forestry University]."},{"key":"ref_5","first-page":"97","article-title":"Evaluation of forest fire on Madeira Island using Sentinel-2A MSI imagery","volume":"58","author":"Navarro","year":"2017","journal-title":"Int. J. Appl. Earth Observ. Geoinf."},{"key":"ref_6","unstructured":"Natural Resources Canada (2018, December 04). Remote Sensing in Forestry, Available online: https:\/\/www.nrcan.gc.ca\/ forests\/measuring-reporting\/remote-sensing\/13429."},{"key":"ref_7","unstructured":"Baghdad, N., and Zribi, M. (2016). Land Surface Remote Sensing in Agriculture and Forest, ISTE Press-Elsevier. [5th ed.]."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1088\/1742-6596\/803\/1\/012067","article-title":"An algorithm of the wildfire classification by its acoustic emission spectrum using Wireless Sensor Networks","volume":"803","author":"Khamukhin","year":"2017","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1016\/j.compenvurbsys.2012.03.002","article-title":"A framework for use of wireless sensor networks in forest fire detection and monitoring","volume":"36","author":"Aslan","year":"2012","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_10","first-page":"124","article-title":"A design and implementation of forest-fires surveillance system based on wireless sensor networks for South Korea mountains","volume":"6","author":"Son","year":"2006","journal-title":"Int. J. Comput. Sci. Netw. Secur."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"8722","DOI":"10.3390\/s91108722","article-title":"A wireless sensor network deployment for rural and forest fire detection and verification","volume":"9","author":"Lloret","year":"2009","journal-title":"Sensors"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Hefeeda, M., and Bagheri, M. (2007, January 8\u201311). Wireless Sensor Networks for Early Detection of Forest Fires. Proceedings of the 2007 IEEE International Conference on Mobile Adhoc and Sensor Systems, Pisa, Italy.","DOI":"10.1109\/MOBHOC.2007.4428702"},{"key":"ref_13","first-page":"1555","article-title":"Forest Environment Monitoring Application of Intelligence Embedded based on Wireless Sensor Networks","volume":"10","author":"Seo","year":"2016","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"ref_14","unstructured":"Lindsey, R., John, L., Randall, K., Mary, B., Thomas, S., Rich, H., David, H., John, M., Stephen, S., and Mary, M. (2014, January 2\u20135). Environmental Sensor Applications at USDA Forest Service Experimental Forests: The Smart Forest Network. Proceedings of the ASA, CSSA, & SSSA International Annual Meeting, Long Beach, CA, USA."},{"key":"ref_15","unstructured":"Ding, F. (2011). Construction of Standard System for Localization of Forest Ecosystem. [Ph.D. Thesis, Chinese Academy of Forestry]."},{"key":"ref_16","first-page":"316","article-title":"Remote monitoring network for soil moisture based on Iridium communication technology","volume":"46","author":"Liu","year":"2015","journal-title":"Trans. Chin. Soc. Agric. Mach."},{"key":"ref_17","first-page":"530","article-title":"SIRIO: An integrated forest fire monitoring, detection and decision support system\u2014Performance and results of the installation in Sanremo (Italy)","volume":"170","author":"Losso","year":"2012","journal-title":"Bull. Geor. Acad. Sci."},{"key":"ref_18","first-page":"237","article-title":"Histogram-Based Smoke Segmentation in Forest Fire Detection System","volume":"38","author":"Krstini","year":"2009","journal-title":"Inf. Technol. Control"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.firesaf.2008.07.006","article-title":"Fire detection based on vision sensor and support vector machines","volume":"44","author":"Ko","year":"2009","journal-title":"Fire Saf. J."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"927","DOI":"10.3390\/s140100927","article-title":"Precise point positioning with the Beidou navigation satellite system","volume":"14","author":"Li","year":"2014","journal-title":"Sensors"},{"key":"ref_21","first-page":"23","article-title":"Management system for mechanized straw returning based on BDS","volume":"47","author":"Mingming","year":"2016","journal-title":"Trans. Chin. Soc. Agric. Mach."},{"key":"ref_22","first-page":"155","article-title":"Fishery harvesting information compressing and transmitting method based on Beidou short message","volume":"31","author":"Chen","year":"2015","journal-title":"Trans. CSAE"},{"key":"ref_23","unstructured":"Liu, X. (2015). Establishment of Forest Environment Factor Monitoring Data Management System. [Master\u2019s Thesis, Beijing Forestry University]."},{"key":"ref_24","unstructured":"China National Forestry Administration (1995). National Forest Fire Weather Ranks, China Standard Press."},{"key":"ref_25","first-page":"121","article-title":"Weather model level of forest fire danger based on logistic regression","volume":"41","author":"Zhang","year":"2013","journal-title":"J. Northeast For. Univ."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Chaparro, D., Vall-Llossera, M., Piles, M., Camps, A., and R\u00fcdiger, C. (2015, January 26\u201331). Low soil moisture and high temperatures as indicators for forest fire occurrence and extent across the Iberian Peninsula. Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7326530"},{"key":"ref_27","first-page":"278","article-title":"Measurement method of forest floor and soil water content based on standing wave ratio","volume":"48","author":"Yan","year":"2017","journal-title":"Trans. Chin. Soc. Agric. Mach."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/12\/4457\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:34:22Z","timestamp":1760196862000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/12\/4457"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,16]]},"references-count":27,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2018,12]]}},"alternative-id":["s18124457"],"URL":"https:\/\/doi.org\/10.3390\/s18124457","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,16]]}}}