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Archives of Agronomy and Soil Science Volume 62, 2016 - Issue 11
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Spatial prediction of soil nutrient in a hilly area using artificial neural network model combined with kriging

Qi-Quan LiCollege of Resources, Sichuan Agricultural University, Chengdu, ChinaView further author information
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Xin ZhangCollege of Resources, Sichuan Agricultural University, Chengdu, ChinaView further author information
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Chang-Quan WangCollege of Resources, Sichuan Agricultural University, Chengdu, ChinaCorrespondence[email protected]
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Bing LiCollege of Resources, Sichuan Agricultural University, Chengdu, ChinaView further author information
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Xue-Song GaoCollege of Resources, Sichuan Agricultural University, Chengdu, ChinaView further author information
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Da-Gang YuanCollege of Resources, Sichuan Agricultural University, Chengdu, ChinaView further author information
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You-Lin LuoCollege of Resources, Sichuan Agricultural University, Chengdu, ChinaView further author information
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Pages 1541-1553 | Received 03 Aug 2015, Accepted 27 Jan 2016, Published online: 12 Mar 2016

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Igor Bogunovic, Ivica Kisic, Milan Mesic, Aleksandra Percin, Zeljka Zgorelec, Darìja Bilandžija, Antonija Jonjic & Paulo Pereira. (2017) Reducing sampling intensity in order to investigate spatial variability of soil pH, organic matter and available phosphorus using co-kriging techniques. A case study of acid soils in Eastern Croatia. Archives of Agronomy and Soil Science 63:13, pages 1852-1863.
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Articles from other publishers (19)

Yuhan Zhang, Youqi Wang, Yiru Bai, Ruiyuan Zhang, Xu Liu & Xian Ma. (2023) Prediction of Spatial Distribution of Soil Organic Carbon in Helan Farmland Based on Different Prediction Models. Land 12:11, pages 1984.
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Aiwen Li, Chengji Li, Yuanyuan Zhang, Qian Deng, Hongyan Fang, Bin Zhao, Min Ran, Liangying Song, Jingling Xue, Qi Tao, Rong Huang, Yiding Li, Wei Zhou, Jingting Wang, John P. Wilson & Qiquan Li. (2023) The driving factors and buffering mechanism regulating cropland soil acidification across the Sichuan Basin of China. CATENA 220, pages 106688.
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Daming Yang, Nufang Fang, Zhihua Shi, Junqiu Lin & Renjie Zong. (2022) Modeling sediment transport and flow velocity of thawed soil with straw returning. Journal of Hydrology 610, pages 127805.
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Omosalewa Odebiri, Onisimo Mutanga, John Odindi, Rowan Naicker, Cecilia Masemola & Mbulisi Sibanda. (2021) Deep learning approaches in remote sensing of soil organic carbon: a review of utility, challenges, and prospects. Environmental Monitoring and Assessment 193:12.
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Li Tan, Xiaoping Fan, Guochao Yan, Miao Peng, Nan Zhang, Mujun Ye, Zixiang Gao, Alin Song, Miroslav Nikolic & Yongchao Liang. (2021) Sequestration potential of phytolith occluded carbon in China's paddy rice (Oryza sativa L.) systems. Science of The Total Environment 774, pages 145696.
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Rumi Wang, Runyan Zou, Jianmei Liu, Luo Liu & Yueming Hu. (2021) Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method. Agriculture 11:1, pages 50.
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Jiaqi Hao, Yue Lin, Guangxin Ren, Gaihe Yang, Xinhui Han, Xiaojiao Wang, Chengjie Ren & Yongzhong Feng. (2021) Comprehensive benefit evaluation of conservation tillage based on BP neural network in the Loess Plateau. Soil and Tillage Research 205, pages 104784.
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Eryong Liu, Jian Liu, Kunyong Yu, Yunjia Wang & Ping He. (2019) A hybrid model for predicting spatial distribution of soil organic matter in a bamboo forest based on general regression neural network and interative algorithm. Journal of Forestry Research 31:5, pages 1673-1680.
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Ali A. Zolfaghari, Meysam Abolkheiryan, Ali A. Soltani-Toularoud, Ruhollah Taghizadeh-Mehrjardi & Amanuel O. Weldeyohannes. (2020) Prediction of soil macronutrients using fractal parameters and artificial intelligence methods. Spanish Journal of Agricultural Research 18:2, pages e1104.
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Chen Wang, Yuan Cui, Ziwen Ma, Yutong Guo, Qian Wang, Yujiao Xiu, Rong Xiao & Mingxiang Zhang. (2019) Simulating Spatial Variation of Soil Carbon Content in the Yellow River Delta: Comparative Analysis of Two Artificial Neural Network Models. Wetlands 40:2, pages 223-233.
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Lin Chen, Chunying Ren, Bai Zhang & Zongming Wang. (2020) Multi-Sensor Prediction of Stand Volume by a Hybrid Model of Support Vector Machine for Regression Kriging. Forests 11:3, pages 296.
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Sushil Lamichhane, Lalit Kumar & Brian Wilson. (2019) Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review. Geoderma 352, pages 395-413.
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Yajie Huang, Zhen Li, Huichun Ye, Shiwen Zhang, Zhiqing Zhuo, An Xing & Yuanfang Huang. (2019) Mapping Soil Electrical Conductivity Using Ordinary Kriging Combined with Back-propagation Network. Chinese Geographical Science 29:2, pages 270-282.
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Xue-song GAO, Yi XIAO, Liang-ji DENG, Qi-quan LI, Chang-quan WANG, Bing LI, Ou-ping DENG & Min ZENG. (2019) Spatial variability of soil total nitrogen, phosphorus and potassium in Renshou County of Sichuan Basin, China. Journal of Integrative Agriculture 18:2, pages 279-289.
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Xinping Zhang, Fangfang Zhang, Dexiang Wang, Junxi Fan, Youning Hu, Haibin Kang, Mingjie Chang, Yue Pang, Yang Yang & Yang Feng. (2018) Effects of vegetation, terrain and soil layer depth on eight soil chemical properties and soil fertility based on hybrid methods at urban forest scale in a typical loess hilly region of China. PLOS ONE 13:10, pages e0205661.
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Ying-Qiang Song, Xin Zhao, Hui-Yue Su, Bo Li, Yue-Ming Hu & Xue-Sen Cui. (2018) Predicting Spatial Variations in Soil Nutrients with Hyperspectral Remote Sensing at Regional Scale. Sensors 18:9, pages 3086.
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Biswarup Bhattacharyya. (2017) A Critical Appraisal of Design of Experiments for Uncertainty Quantification. Archives of Computational Methods in Engineering 25:3, pages 727-751.
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Qiquan Li, Changquan Wang, Tianfei Dai, Wenjiao Shi, Xin Zhang, Yi Xiao, Weiping Song, Bing Li & Yongdong Wang. (2017) Prediction of soil cadmium distribution across a typical area of Chengdu Plain, China. Scientific Reports 7:1.
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Qi‐quan Li, Hao Zhang, Xin‐ye Jiang, Youlin Luo, Chang‐quan Wang, Tian‐xiang Yue, Bing Li & Xue‐song Gao. (2017) Spatially distributed modeling of soil organic carbon across C hina with improved accuracy . Journal of Advances in Modeling Earth Systems 9:2, pages 1167-1185.
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