{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:25:40Z","timestamp":1760243140970,"version":"build-2065373602"},"reference-count":38,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2015,11,11]],"date-time":"2015-11-11T00:00:00Z","timestamp":1447200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Considering that agricultural production is characterized by vast areas, scattered fields and long crop growth cycles, intelligent wireless sensor networks (WSNs) are suitable for monitoring crop growth information. Cost and coverage are the most key indexes for WSN applications. The differences in crop conditions are influenced by the spatial distribution of soil nutrients. If the nutrients are distributed evenly, the crop conditions are expected to be approximately uniform with little difference; on the contrary, there will be great differences in crop conditions. In accordance with the differences in the spatial distribution of soil information in farmland, fuzzy c-means clustering was applied to divide the farmland into several areas, where the soil fertility of each area is nearly uniform. Then the crop growth information in the area could be monitored with complete coverage by deploying a sensor node there, which could greatly decrease the deployed sensor nodes. Moreover, in order to accurately judge the optimal cluster number of fuzzy c-means clustering, a discriminant function for Normalized Intra-Cluster Coefficient of Variation (NICCV) was established. The sensitivity analysis indicates that NICCV is insensitive to the fuzzy weighting exponent, but it shows a strong sensitivity to the number of clusters.<\/jats:p>","DOI":"10.3390\/s151128314","type":"journal-article","created":{"date-parts":[[2015,11,12]],"date-time":"2015-11-12T03:46:55Z","timestamp":1447300015000},"page":"28314-28339","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["The Node Deployment of Intelligent Sensor Networks Based on the Spatial Difference of Farmland Soil"],"prefix":"10.3390","volume":"15","author":[{"given":"Naisen","family":"Liu","sequence":"first","affiliation":[{"name":"National Engineering and Technology Center for Agriculture\/Jiangsu Key Laboratory for  Information Agriculture\/Collaborative Innovation Center for Modern Crop Production,  Nanjing Agriculture University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for the Technology and Application of Internet of Things, Nanjing 210095, China"},{"name":"Jiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake\/Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection,  Huaiyin Normal University, Huai\u2019an 223300, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weixing","family":"Cao","sequence":"additional","affiliation":[{"name":"National Engineering and Technology Center for Agriculture\/Jiangsu Key Laboratory for  Information Agriculture\/Collaborative Innovation Center for Modern Crop Production,  Nanjing Agriculture University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for the Technology and Application of Internet of Things, Nanjing 210095, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1884-2404","authenticated-orcid":false,"given":"Yan","family":"Zhu","sequence":"additional","affiliation":[{"name":"National Engineering and Technology Center for Agriculture\/Jiangsu Key Laboratory for  Information Agriculture\/Collaborative Innovation Center for Modern Crop Production,  Nanjing Agriculture University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for the Technology and Application of Internet of Things, Nanjing 210095, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingchao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing Institute of Agricultural Mechanization of National Ministry of Agriculture,  Nanjing 210014, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangrong","family":"Pang","sequence":"additional","affiliation":[{"name":"National Engineering and Technology Center for Agriculture\/Jiangsu Key Laboratory for  Information Agriculture\/Collaborative Innovation Center for Modern Crop Production,  Nanjing Agriculture University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for the Technology and Application of Internet of Things, Nanjing 210095, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Ni","sequence":"additional","affiliation":[{"name":"National Engineering and Technology Center for Agriculture\/Jiangsu Key Laboratory for  Information Agriculture\/Collaborative Innovation Center for Modern Crop Production,  Nanjing Agriculture University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for the Technology and Application of Internet of Things, Nanjing 210095, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,11,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S0273-1177(97)01133-2","article-title":"Remote sensing of chlorophyll concentration in higher plant leaves","volume":"22","author":"Gitelson","year":"1998","journal-title":"Adv. Space Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.isprsjprs.2008.06.002","article-title":"Deriving leaf chlorophyll content of green-leafy vegetables from hyperspectral reflectance","volume":"64","author":"Xue","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"51","DOI":"10.3390\/s8010051","article-title":"Changes in spectral properties, chlorophyll content and internal mesophyll structure of senescing Populus balsamifera and Populus tremuloides leaves","volume":"8","author":"Castro","year":"2008","journal-title":"Sensors"},{"key":"ref_4","first-page":"237","article-title":"Estimating LAI and CCD of rice and wheat using hyperspectral remote sensing data","volume":"26","author":"Yang","year":"2010","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_5","first-page":"1443","article-title":"Quantitative relationships between leaf area index and canopy reflectance spectra of wheat","volume":"17","author":"Li","year":"2006","journal-title":"Chin. J. Appl. Ecol."},{"key":"ref_6","first-page":"131","article-title":"Models for estimating cotton aboveground fresh biomass using hyperspectral data","volume":"23","author":"Huang","year":"2007","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_7","first-page":"196","article-title":"ANN-based wheat biomass estimation using canopy hyperspectral vegetation indices","volume":"24","author":"Wang","year":"2008","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.rse.2004.03.012","article-title":"A new instrument for passive remote sensing: 2. Measurement of leaf and canopy reflectance changes at 531 nm and their relationship with photosynthesis and chlorophyll fluorescence","volume":"91","author":"Evain","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_9","first-page":"95","article-title":"Development and experiment of portable NDVI instrument for estimating growth condition of winter wheat","volume":"20","author":"Wang","year":"2004","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_10","first-page":"169","article-title":"Design of a Four-waveband Crop Canopy Analyzer","volume":"42","author":"Li","year":"2011","journal-title":"Trans. Chin. Soc. Agric. Mach."},{"key":"ref_11","first-page":"207","article-title":"Design and Experiments of Multi-spectral Sensor for Rice and Wheat Growth Information","volume":"44","author":"Ni","year":"2013","journal-title":"Trans. Chin. Soc. Agric. Mach."},{"key":"ref_12","first-page":"160","article-title":"Development of system for monitoring chlorophyll content of plant population using reflectance spectroscopy","volume":"30","author":"Tan","year":"2014","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1080\/15501320902768625","article-title":"Energy Efficient, Delay Sensitive, Fault Tolerant Wireless Sensor Network for Military Monitoring","volume":"5","author":"Bekmezci","year":"2009","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1016\/j.procs.2012.06.069","article-title":"A study of Wireless Sensor Network Architectures and Projects for Traffic Light Monitoring","volume":"10","author":"Kafi","year":"2012","journal-title":"Procedia Comput. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1134\/S0020441213040118","article-title":"Environmental parameter monitoring using wireless sensor network","volume":"56","author":"Vairamani","year":"2013","journal-title":"Instrum. Exp. Tech."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.compag.2011.02.004","article-title":"A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks","volume":"76","author":"Mateos","year":"2011","journal-title":"Comput. Electron. Agric."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MPRV.2004.1269130","article-title":"Vineyard computing: Sensor networks in agricultural production","volume":"3","author":"Burrell","year":"2004","journal-title":"IEEE Pervasive Comput."},{"key":"ref_18","first-page":"170","article-title":"Smart water-saving irrigation system in precision agriculture based on wireless sensor network","volume":"26","author":"Xiao","year":"2010","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.jclepro.2014.04.036","article-title":"Environmental parameters monitoring in precision agriculture using wireless sensor networks","volume":"88","author":"Srbinovska","year":"2015","journal-title":"J. Clean. Prod."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.eij.2013.06.004","article-title":"Precision farming solution in Egypt using the wireless sensor network technology","volume":"14","year":"2013","journal-title":"Egypt. Inform. J."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Bai, X.L., Kumar, S., Xuan, D., Yun, Z.Q., and Lai, T. (2006, January 22\u201325). Deploying wireless sensors to achieve both coverage and connectivity. Proceedings of the 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Florence, Italy.","DOI":"10.1145\/1132905.1132921"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1016\/j.adhoc.2011.03.001","article-title":"A study of subdividing hexagon-clustered WSN for power saving: Analysis and simulation","volume":"9","author":"Wang","year":"2011","journal-title":"Ad Hoc Netw."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"12180","DOI":"10.1016\/j.eswa.2011.03.053","article-title":"A sensor deployment approach using glowworm swarm optimization algorithm in wireless sensor networks","volume":"38","author":"Liao","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zou, Y., and Chakrabarty, K. (April, January 30). Sensor deployment and target localization based on virtual forces. Proceedings of the INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications, IEEE Societies, San Francisco, CA, USA.","DOI":"10.1109\/INFCOM.2003.1208965"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1448","DOI":"10.1109\/TC.2002.1146711","article-title":"Grid coverage for surveillance and target location in distributed sensor networks","volume":"51","author":"Chakrabarty","year":"2002","journal-title":"IEEE Trans. Comput."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.comnet.2010.07.017","article-title":"Artificial potential field approach in WSN deployment: Cost, QoM, connectivity, and lifetime constraints","volume":"55","author":"Aitsaadi","year":"2011","journal-title":"Comput. Netw."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"505","DOI":"10.2136\/sssaj1992.03615995005600020027x","article-title":"Soil pattern recognition with fuzzy-c-means: Application to classification and soil-landform interrelationships","volume":"56","author":"Odeh","year":"1992","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.still.2009.12.002","article-title":"Delineation of management zones using mobile measurements of soil apparent electrical conductivity and multivariate geostatistical techniques","volume":"106","author":"Moral","year":"2010","journal-title":"Soil Tillage Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.geoderma.2011.03.016","article-title":"Sensitivity of digital soil maps based on FCM to the fuzzy exponent and the number of clusters","volume":"171\u2013172","author":"Sun","year":"2012","journal-title":"Geoderma"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1080\/01969727308546047","article-title":"Cluster Validity with Fuzzy Sets","volume":"3","author":"Bezdek","year":"1973","journal-title":"J. Cybern."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/0377-2217(82)90228-4","article-title":"Fuzzy clustering algorithms and their cluster validity","volume":"10","author":"Roubens","year":"1982","journal-title":"Eur. J. Oper. Res."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Arabie, P., Hubert, L.J., and de Soete, G. (1996). Clustering and Classification, Word Scientific.","DOI":"10.1142\/1930"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0016-7061(03)00166-6","article-title":"Fuzzy continuous classification and spatial interpolation in conventional soil survey for soil mapping of the lower Piave plain","volume":"118","author":"Bragato","year":"2004","journal-title":"Geoderma"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/S0016-7061(97)00143-2","article-title":"Soil-landscape modeling using fuzzy c-means clustering of attribute data derived from a digital elevation model (DEM)","volume":"83","author":"Stein","year":"1998","journal-title":"Geoderma"},{"key":"ref_35","first-page":"100","article-title":"Management Zone Analyst (MZA)","volume":"96","author":"Fridgen","year":"2004","journal-title":"Agron. J."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3082","DOI":"10.1016\/j.jenvman.2009.04.017","article-title":"Identification of anthropogenic effects and seasonality on water quality in Daya Bay, South China Sea","volume":"90","author":"Wu","year":"2009","journal-title":"J. Environ. Manag."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1109\/TPAMI.1982.4767266","article-title":"Cluster Validity for the Fuzzy c-Means Clustering Algorithrm","volume":"pami-4","author":"Windham","year":"1982","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/0165-0114(81)90015-4","article-title":"Cluster validity for fuzzy clustering algorithms","volume":"5","author":"Windham","year":"1981","journal-title":"Fuzzy Sets Syst."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/15\/11\/28314\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:51:51Z","timestamp":1760215911000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/15\/11\/28314"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,11]]},"references-count":38,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2015,11]]}},"alternative-id":["s151128314"],"URL":"https:\/\/doi.org\/10.3390\/s151128314","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2015,11,11]]}}}