B015
Agro-geoinformatics: Connecting geospatial technologies with agriculture

Session ID#: 81882

Session Description:
Agro-geoinformatics, as an emerging transdisciplinary research area,  finds its extensive applications and advancements in agricultural sustainability, food security, environmental research, bioenergy, natural resource conservation, land use management, carbon accounting, global climate change, health research, agricultural industry, commodity trading, economy research, education, agricultural decision making and policy formulation and other areas that are of vital importance to agricultural economy. Advancements of remote sensing, sensor networks, and geographic information systems nurture numerous applications to improve production in agriculture. This session invites presentations that highlight the latest advancements in applications of advanced geospatial technologies in agriculture. Topics include but not limited to

  • Smart agriculture with geospatial technologies and big data
  • Precision agriculture
  • Smart irrigation applications with geospatial technologies
  • Decision support systems for agriculture with geospatial technologies
  • Spatial modeling of agriculture
  • Spatial big-data analytics for agriculture 
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
1908 Cyberinfrastructure [INFORMATICS]
1958 Ontologies [INFORMATICS]
1960 Portals and user interfaces [INFORMATICS]

Primary Convener:  Eugene Yu, George Mason University Fairfax, Fairfax, VA, United States
Conveners:  Liping Di, George Mason University, Fairfax, VA, United States, Feng Gao, USDA-Agricultural Research Service Beltsville, Hydrology and Remote Sensing, Beltsville, MD, United States and Zhengwei Yang, USDA National Agricultural Statistics Service, Research and Development Division, Washington, DC, United States
Primary Liaison:  Eugene Yu, George Mason University, Fairfax, VA, United States
 
Compare the ability of the machine learning algorithms to estimate soil salinity in saline soil by using field spectral data (489956)
Sijia Wang, Beijing, Beijing, China and Beijing normal university
 
Time series ALOS-2 SAR data analysis for rice crop monitoring in Asia. (492314)
Shinichi Sobue, Japan Aerospace Exploration Agency, Kanagawa, Japan and Kei Oyoshi, Japan Aerospace Exploration Agency, Tsukuba, Ibaraki, Japan
 
Mapping Water-logging Damage on Winter Wheat at Parcel Level Using High Spatial Resolution Satellite Data (498205)
Weiwei Liu1, Huang Jingfeng2, Chuanwen Wei3, Xiuzhen Wang4, Lamin R. Mansaray5, Jiahui Han2, Dongdong Zhang2 and Yaoliang Chen6, (1)Zhejiang University, College of Environment and Resources Science, Hangzhou, China, (2)Zhejiang University, Hangzhou, China, (3)CAMS Chinese Academy of Meteorological Sciences, Beijing, China, (4)Hangzhou Normal University, Hangzhou, China, (5)Sierra Leone Agricultural Research Institute (SLARI), Tower Hill, Sierra Leone, (6)Zhejiang University, Department of Land Management, Hangzhou, China
 
Evaluation of Machine Learning Algorithms for Estimation of Soil Organic Matter (499941)
Yones Khaledian, Iowa State University, Ames, IA, United States and Bradley A Miller, Iowa State University, Agronomy, Ames, IA, United States
 
Combining Multi-temporal Satellite Images to Describe the Soil Spatial Variability in Southeastern Brazil (505605)
Rodnei Rizzo1, Jose alexandre Dematte Sr2, Luiz G.M Neto Sr.1 and André C. Dotto Dr.1, (1)University of São Paulo, Piracicaba, Brazil, (2)University of Sao Paulo, Sao Paulo, Brazil
 
A soil classification based on spectra, climate and terrain variables (506213)
Andre Dotto, USP University of Sao Paulo, Soil, Piracicaba, Brazil, Jose alexandre Dematte Sr, University of Sao Paulo, Sao Paulo, Brazil, Raphael Armando Viscarra Rossel, CSIRO Canberra, Canberra, ACT, Australia and Rodnei Rizzo, CENA Center for Nuclear Energy in Agriculture, Piracicaba, Brazil
 
Regional vulnerability assessment of agricultural land idling with agricultural management database and geographic information system in South Korea (513760)
Jimin Lee, Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, Korea, Republic of (South) and Yungyeong Oh, Chonnam National University, Institute of Agricultural Science and Technology, Gwangju, South Korea
 
Crop Fine Classification Method Based on Grid Unit Feature Analysis (514863)
Xun Zhou1, Xingang Li1 and Suhong Liu2, (1)Beijing Normal University, Beijing, China, (2)Beijing Normal University, Faculty of Geographical Science, Beijing, China
 
Relationship between soil moisture and crop yield in America during a drought (517207)
Haoteng Zhao1, Liping Di1, Eugene Yu1, Chen Zhang2, Zhiqi Yu3 and Md. Shahinoor Rahman2, (1)George Mason University, Fairfax, VA, United States, (2)George Mason University Fairfax, Center for Spatial Information Science and Systems, Fairfax, VA, United States, (3)George Mason University Fairfax, Fairfax, VA, United States
 
Large scale high throughput phenotyping for rice using UAS and Satellite data (521458)
Jinha Jung1, Akash Ashapure1, Juan Landivar2, Murilo Maeda3, Anjin Chang4, Junho Yeom5, Thomas Gerik6, Jaehak Jeong6 and Sungchan Oh7, (1)Purdue University, Civil Engineering, West Lafayette, United States, (2)Texas A&M AgriLife Research, Corpus Christi, United States, (3)Texas A&M AgriLife Extension, Lubbock, TX, United States, (4)Texas A&M University Corpus Christi, Corpus Christi, TX, United States, (5)Texas A&M University Corpus Christi, Corpus Christi, TX, United States, (6)Blackland Research Center, Texas A&M AgriLife Research, Temple, TX, United States, (7)Texas A&M University Corpus Christi, Corpus Christi, United States
 
An Approach to Improve Leaf Pigment Content Retrieval by Removing Specular Reflectance through Polarization Measurements (531114)
Yingying Li, Zhejiang University, Hangzhou, China
 
Contributions of Climate Change on the Boundary Shifts of Farming-pastoral Ecotone in Northern China since 1970 (537936)
Wenjiao Shi, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
 
Prediction of Field Level Crop Types Using Markov Chain Modeling on Crop Rotation Pattern (539559)
Md Shahinoor Rahman, Liping Di, Eugene Yu, Haoteng Zhao, Li Lin and Zhiqi Yu, George Mason University, Fairfax, VA, United States
 
Leaf Surface Structures Alter Polarization of Incident Light (550266)
Craig S.T. Daughtry, USDA ARS, Hydrology & Remote Sensing Lab, Beltsville, MD, United States, Vern C Vanderbilt, NASA, Moffett Field, CA, United States, Robert P. Dahlgren, California State University Monterey Bay, Seaside, CA, United States and E Raymond Hunt Jr, USDA ARS Hydrology Lab, Beltsville, MD, United States
 
Using radar remote sensing to predict topsoil properties at farm field-scale (561817)
Marisa Domenech, Universidad Nacional del Sur, Bahia Blanca, Argentina, Nilda Amiotti, Universidad Nacional del Sur, Bahia Blanca, Anguilla, José Luis Costa, CONICET, Balcarce, Argentina and Mauricio Castro-Franco, Cenicaña, Cali, Colombia
 
Integrating crop calendar data can improve pest risk mapping of migratory pest: A case study of major rice pest in East Asia, brown planthopper. (565287)
Jinsol Hong, Minyoung Lee, Youngeun Kim, June Wee, Yun-sik Lee, Euna Ko, Jino Son and Kijong Cho, Korea University, Seoul, South Korea
 
Soil temperature estimation at different depths, using remotely-sensed data (574704)
Ran Huang1,2, Jianxi Huang2, Chao Zhang2, Yingyi Chen3, Hongyuan MA2, Wen Zhuo2, Dehai Zhu2, Qingling Wu4 and Lamin R. Mansaray5, (1)Hangzhou Dianzi University, Hangzhou, China, (2)China Agricultural University, College of Land Science and Technology, Beijing, China, (3)China Agricultural University, College of Information & Electrical Engineering, Beijing, China, (4)University College London, Department of Geography, London, United Kingdom, (5)Sierra Leone Agricultural Research Institute (SLARI), Tower Hill, Sierra Leone
 
A GIS-Based Model for Screening of Suitable Lands for Land Application of Biosolids (582489)
Aysegul Aksoy, Middle East Technical University, Ankara, Turkey and Umut Adile Yildiz, Middle East Technical University, Environmental Engineering Department, Ankara, Turkey
 
The Spatial Mapping of Sugarcane Planting Area and Yield in Guangxi, China (591751)
Linglin Zeng1, Shun Hu2 and Wenting Zhang1, (1)Huazhong Agricultural University, Wuhan, China, (2)Wuhan University, Wuhan, China
 
Comparative Analysis between SMAP Level-4 Data and NASS Surveyed Soil Moisture Estimates for U.S. Midwest Cropland Areas (595606)
Zhengwei Yang, USDA National Agricultural Statistics Service, Research and Development Division, Washington, DC, United States, Avery Sandborn, USDA National Agricultural Statistics Service, Washington, DC, United States and Rick Mueller, USDA Washington DC, Washington, DC, United States
 
Soil-depth mapping at farm scale using dual-polarimetric SAR data (602842)
Mauricio Castro-Franco, Cenicaña, Cali, Colombia, Nilda Amiotti, Universidad Nacional del Sur, Bahia Blanca, Anguilla, José Luis Costa, CONICET, Balcarce, Argentina and Marisa Domenech, Universidad Nacional del Sur, Bahia Blanca, Argentina
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