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近20年农田精准管理分区施肥方法研究进展

鲍依临 孟祥添 刘焕军 殷悦 马雨阳 邱政超 赵明明

鲍依临, 孟祥添, 刘焕军, 殷 悦, 马雨阳, 邱政超, 赵明明. 近20年农田精准管理分区施肥方法研究进展[J]. 土壤通报, 2021, 52(4): 988 − 999 doi: 10.19336/j.cnki.trtb.2020110201
引用本文: 鲍依临, 孟祥添, 刘焕军, 殷 悦, 马雨阳, 邱政超, 赵明明. 近20年农田精准管理分区施肥方法研究进展[J]. 土壤通报, 2021, 52(4): 988 − 999 doi: 10.19336/j.cnki.trtb.2020110201
BAO Yi-lin, MENG Xiang-tian, LIU Huan-jun, YIN Yue, MA Yu-yang, QIU Zheng-chao, ZHAO Ming-ming. Review on Site-Specific Management Zone for Zonal Fertilization Delineation in Last 20 Years[J]. Chinese Journal of Soil Science, 2021, 52(4): 988 − 999 doi: 10.19336/j.cnki.trtb.2020110201
Citation: BAO Yi-lin, MENG Xiang-tian, LIU Huan-jun, YIN Yue, MA Yu-yang, QIU Zheng-chao, ZHAO Ming-ming. Review on Site-Specific Management Zone for Zonal Fertilization Delineation in Last 20 Years[J]. Chinese Journal of Soil Science, 2021, 52(4): 988 − 999 doi: 10.19336/j.cnki.trtb.2020110201

近20年农田精准管理分区施肥方法研究进展

doi: 10.19336/j.cnki.trtb.2020110201
基金项目: 国家自然科学基金(41671438)和黑龙江省自然基金(D2017001)资助
详细信息
    作者简介:

    鲍依临(1996−),女,辽宁喀喇沁左翼蒙古族自治县,硕士研究生,主要研究方向为农业遥感。E-mail: byl1211neau@yeah.net

    通讯作者:

    E-mail: Huanjunliu@yeah.net

  • 中图分类号: S127; TP79

Review on Site-Specific Management Zone for Zonal Fertilization Delineation in Last 20 Years

  • 摘要: 精准管理分区(Site Specific Management Zones,SSMZ)是精准农业中实现定时、定点、定量、定配方投入水肥药等农业生产资料的关键环节。SSMZ已经在精准农业中得到了迅速的发展与应用,该技术对于减少农业投入、提高经济效益及减轻农业面源污染具有重要意义。全面地认识SSMZ的研究现状及存在问题,有利于更好地把握SSMZ的发展动态并开展更进一步的研究。本文对国内外以SSMZ为主题的论文进行了梳理,概述了SSMZ研究中不同输入量的应用原理、数据类型、优势及局限性;其次,对现有的分区方法进行了总结归纳,最后,整理了常用的SSMZ评价方法,对不同评价方法进行分析,进行总结与展望。得到如下结论:(1)SSMZ输入量由基于空间插值映射土壤空间属性,过渡为利用遥感技术获取土壤、植被等相关信息;(2)随着大数据时代的到来,综合考虑历史土壤理化性质、成土要素、农作物时空动态、水土气生地形地貌的作用有助于提升SSMZ的精度;(3)基于近端传感器及无人机获取的密集数据的研究不断增加,田块尺度的空间信息精度高,连续性增强;(4)传统的非监督分类算法逐步被面向对象分割方法取代,分区结果更有助于指导田间管理措施;(5)用于SSMZ的评价信息以与作物生长关系密切的土壤属性或表征作物长势的参数为主。国内外对于SSMZ的关注度逐渐增加,各类SSMZ研究成果对于实现绿色农业、维护生态安全具有重要实践意义。
  • 图  1  同一研究区2013—2016年生长期NDVI分区情况[26]

    Figure  1.  Segmentation of NDVI in the growth period from the years of 2013—2016 in the same research area[26]

    图  2  同一研究区不同输入量的表达情况

    Figure  2.  Expression of different inputs in the same study area

    图  3  基于面向对象分割方式的不同输入量的分区情况[11]

    Figure  3.  Partitioning of different inputs based on object-oriented segmentation[11]

    图  4  不同方法划分原则及特点对比

    Figure  4.  Comparison of the principles and characteristics of different methods

    图  5  分区效果评价原理及途径

    Figure  5.  Principle and approach of partition effect evaluation

  • [1] Khosla R, Fleming K, Delgado J A, et al. Use of site-specific management zones to improve nitrogen management for precision agriculture[J]. Journal of Soil and Water Conservation, 2002, 57: 513 − 518.
    [2] Ferguson R. B, Hergert G W, Schepers J S, et al Site specific nitrogen management of irrigated maize: Yield and soil residual nitrate effects[J]. Soil Science Society of America Journal, 2002, 66: 544 − 553.
    [3] Koch B, Khosla R, Frasier W M, et al. Economic feasibility of variable-rate nitrogen application utilizing site-speicific management zones[J]. Agronomy Journal, 2004, 96: 1572 − 1580. doi: 10.2134/agronj2004.1572
    [4] 白由路, 金继运, 杨俐苹, 等. 基于GIS的土壤养分分区管理模型研究[J]. 中国农业科学, 2001, 34(1): 46 − 50. doi: 10.3321/j.issn:0578-1752.2001.01.009
    [5] 李 翔, 潘瑜春, 赵春江, 等. 基于多年产量数据的精准农业管理分区提取与尺度效应评价[J]. 中国农业科学, 2005, 38(9): 1825 − 1833. doi: 10.3321/j.issn:0578-1752.2005.09.017
    [6] Dragovic S, Onjia A. Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis[J]. Journal of Environmental Radioactivity, 2006, 89(2): 150 − 158. doi: 10.1016/j.jenvrad.2006.05.002
    [7] Mulla, David J. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps[J]. Biosystems Engineering, 2013, 114(4): 358 − 371. doi: 10.1016/j.biosystemseng.2012.08.009
    [8] 李 翔, 潘瑜春, 马景宇, 等. 基于多种土壤养分的精准管理分区方法研究[J]. 土壤学报, 2007, 44(1): 14 − 20. doi: 10.3321/j.issn:0564-3929.2007.01.003
    [9] Davatgar N, Neishabouri M R, Sepaskhah A R. Delineation of site specific nutrient management zones for a paddy cultivated area based on soil fertility using fuzzy clustering[J]. Geoderma, 2012, 173-174: 111 − 118. doi: 10.1016/j.geoderma.2011.12.005
    [10] Buresh R J, Castillo R L, Torre J C D, et al. Site-specific nutrient management for rice in the Philippines: Calculation of field-specific fertilizer requirements by Rice Crop Manager[J]. Field Crops Research, 2019, 239: 56 − 70.
    [11] 刘焕军, 鲍依临, 徐梦园, 等. 基于SOM和NDVI的黑土区精准管理分区对比[J]. 农业工程学报, 2019, 35(13): 177 − 183. doi: 10.11975/j.issn.1002-6819.2019.13.020
    [12] 张春华. 基于GIS和地统计学的植烟土壤养分空间变异及管理分区研究[D]. 河南农业大学, 2010.
    [13] Haghverdi A, Leib B G, Washington-Allen R A, et al. Perspectives on delineating management zones for variable rate irrigation[J]. Computers and Electronics in Agriculture, 2015, 117: 154 − 167. doi: 10.1016/j.compag.2015.06.019
    [14] 黄绍文, 金继运, 杨俐苹, 左余宝, 程明芳. 分区平衡施肥技术对氮肥利用率和土壤养分平衡的影响[J]. 土壤肥料(6): 3-7.
    [15] Aura, Pedrera-Parrilla, Yakov, et al. Concurrent temporal stability of the apparent electrical conductivity and soil water content - ScienceDirect[J]. Journal of Hydrology, 2017, 544: 319 − 326. doi: 10.1016/j.jhydrol.2016.10.017
    [16] Aggelopooulou, Katerina, Gemtos, et al. Delineation of management zones in an apple orchard in Greece using a multivariate approach[J]. Computers & Electronics in Agriculture, 2013, 90(90): 119 − 130.
    [17] 李 艳, 史 舟, 吴次芳, 等. 基于多源数据的盐碱地精确农作管理分区研究[J]. 农业工程学报, 2007, 23(8): 84 − 89. doi: 10.3321/j.issn:1002-6819.2007.08.014
    [18] Scudiero E, Teatini P, Corwin D L, et al. Delineation of site-specific management units in a saline region at the Venice Lagoon margin, Italy, using soil reflectance and apparent electrical conductivity[J]. Computers and Electronics in Agriculture, 2013, 99: 54 − 64. doi: 10.1016/j.compag.2013.08.023
    [19] Li Y, Shi Z, Li F, et al. Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land[J]. Computers & Electronics in Agriculture, 2007, 56: 174 − 186.
    [20] Moral F J, Terrón J M., Silva J R M D Delineation of management zones using mobile measurements of soil apparent electrical conductivity and multivariate geostatistical techniques[J]. Soil & Tillage Research, 2010, 106(2): 335 − 343.
    [21] Williams A, Davis A S, Ewing P M, et al. Precision control of soil nitrogen cycling via soil functional zone management[J]. Agriculture Ecosystems & Environment, 2016, 231: 291 − 295.
    [22] Yao R J, Yang J S, Zhang T J, et al. Determination of site-specific management zones using soil physico-chemical properties and crop yields in coastal reclaimed farmland[J]. Geoderma, 2014, 232: 381 − 393.
    [23] Moshia M E, Khosla R, Longchamps L, et al. Precision manure management across site-specific management zones: Grain yield and economic analysis[J]. Agronomy Journal, 2014, 106(6): 2146 − 2156. doi: 10.2134/agronj13.0400
    [24] Lamb J A, Dowdy R H, Anderson J L, et al. Spatial and temporal stability of corn grain yields[J]. Journal of Production Agriculture, 1997, 10(3): 410. doi: 10.2134/jpa1997.0410
    [25] Chang D, Zhang J, Zhu L, et al. Delineation of management zones using an active canopy sensor for a tobacco field[J]. Computers & Electronics in Agriculture, 2014, 109: 172 − 178.
    [26] Qiu Z C, Liu H J, Zhang X L, et al. Analysis of spatiotemporal variation of site-specific management zones in a topographic relief area over a period of six years using image segmentation and satellite data[J]. Canadian Journal of Remote Sensing, 2019, 45(6): 746 − 758. doi: 10.1080/07038992.2019.1690439
    [27] Shi W Z, Chong Y S, Xiao Y C, et al. Spatial Interpolation of soil texture using compositional kriging and regression kriging with consideration of the characteristics of compositional data and environment variables[J]. Journal of Integrative Agriculture, 2013, 12(9): 1673 − 1683. doi: 10.1016/S2095-3119(13)60395-0
    [28] Gavioli A, De Souza E G, Bazzi C L, et al. Optimization of management zone delineation by using spatial principal components[J]. Computers and Electronics in Agriculture, 2016, 127: 302 − 310. doi: 10.1016/j.compag.2016.06.029
    [29] 陈世超, 杜太生, 王素芬. 基于模糊c均值聚类法的玉米农田管理分区研究[J]. 农业机械学报, 2019, 50(11): 293 − 300. doi: 10.6041/j.issn.1000-1298.2019.11.033
    [30] Milne A E, Webster R, Ginsburg D, et al. Spatial multivariate classification of an arable field into compact management zones based on past crop yields[J]. Computers & Electronics in Agriculture, 2012, 80: 17 − 30.
    [31] Cruz S, Univ P, Los Baños, et al. Nutrient-pest interactions under irrigated lowland rice production systems with farmer's fertilizer practice and site-specific nutrient management in South and Southeast Asia[J]. Philippine Journal of Crop Science, 2007, 17(1): 13 − 28.
    [32] Whetton R L, Waine T W, Mouazen A M. Evaluating management zone maps for variable rate fungicide application and selective harvest[J]. Computers and Electronics in Agriculture, 2018, 153: 202 − 212. doi: 10.1016/j.compag.2018.08.004
    [33] 梅安新. 遥感导论[M]. 北京: 高等教育出版社, 2001.
    [34] 陈 伟. 机采棉田精准管理分区提取的研究[D]. 石河子大学, 2011.
    [35] Kratzer S, Therese Harvey E, Philipson P. The use of ocean color remote sensing in integrated coastal zone management—A case study from Himmerfjrden, Sweden[J]. Marine Policy, 2014, 43: 29 − 39. doi: 10.1016/j.marpol.2013.03.023
    [36] 刘焕军, 邱政超, 孟令华, 等. 黑土区田块尺度遥感精准管理分区[J]. 遥感学报, 2017, 21(3): 470 − 478.
    [37] Zhang Z, La X, LU N, et a1. Defining agricultural management zones using remote sensing and GIS techniques: A case study of drip—irrigated cotton fields[J]. Transactions of the Chinese Society for Agricultural Machinery, 2014, 45(7): 125 − 132.
    [38] Liu H, Whiting M L, Ustin S L, et al. Maximizing the relationship of yield to site-specific management zones with object-oriented segmentation of hyperspectral images[J]. Precision Agriculture, 2018, 19(2): 1 − 17.
    [39] Breunig F M, Galvão L S, Dalagnol R, et al. Delineation of management zones in agricultural fields using cover–crop biomass estimates from PlanetScope data[J]. International Journal of Applied Earth Observation and Geoinformation, 2020, 85: 102004. doi: 10.1016/j.jag.2019.102004
    [40] 赵明明. 基于无人机与卫星影像的农田精准管理分区研究[D]. 东北农业大学, 2019.
    [41] Lu B, He Y. Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland[J]. Isprs Journal of Photogrammetry & Remote Sensing, 2017, 128: 73 − 85.
    [42] Santos S G, Melo J C, Constantino R G, et al. A solution for vegetation analysis, separation and geolocation of management zones using aerial images by UAVs[C]. IX Brazilian Symposium on Computing Systems Engineering (SBESC). 2019.DOI: 10.1109/SBESC49506.2019.9046079.
    [43] Kumhálová J, Moudrý V. Topographical characteristics for precision agriculture in conditions of the Czech Republic[J]. Applied Geography, 2014, 50(2): 90 − 98.
    [44] Kravchenko A. N, Bullock D G Correlation of corn and soybean grain yield with topography and soil properties[J]. Agronomy Journal, 2000, 92(92): 75 − 83.
    [45] 陈世超, 杜太生, 王素芬, 等. 基于农田管理分区的制种玉米产量估算与限制因子评价[J]. 农业工程学报, 2020, 36(15): 128 − 133. doi: 10.11975/j.issn.1002-6819.2020.15.016
    [46] María S M, Walter R C, Federico D K, et al. Delineation of site-specific management units for operational applications using the topographic position index in La Pampa, Argentina[J]. Computers and Electronics in Agriculture, 2016, 127: 158 − 167. doi: 10.1016/j.compag.2016.06.005
    [47] Takács-György K, Rahoveanu T, Magdalena M, et al. Sustainable new agricultural technology – Economic aspects of precision crop protection[J]. Procedia Economics & Finance, 2014, 8(1): 729 − 736.
    [48] Yohannes D F, Ritsema C J, Solomon H, et al. Irrigation water management: Farmers’ practices, perceptions and adaptations at Gumselassa irrigation scheme, North Ethiopia[J]. Agricultural Water Management, 2017, 191: 16 − 28. doi: 10.1016/j.agwat.2017.05.009
    [49] Rusinamhodzi L, Dahlin S, Corbeels M. Living within their means: Reallocation of farm resources can help smallholder farmers improve crop yields and soil fertility[J]. Agriculture Ecosystems & Environment, 2015, 216(1): 125 − 136.
    [50] Heitor M T, Ardjan J V, et al. Farmers show complex and contrasting perceptions on ecosystem services and their management[J]. Ecosystem Services, 2018, 33: 44 − 58. doi: 10.1016/j.ecoser.2018.08.006
    [51] Osmond D L, Hoag D L, Luloff A E, et al. Farmers' use of nutrient management: lessons from watershed case studies[J]. Journal of Environmental Quality, 2015, 44(2): 382. doi: 10.2134/jeq2014.02.0091
    [52] Martínez-Verduzco G C, Galeana-Pizaña J M, et al. Coupling Community Mapping and supervised classification to discriminate Shade coffee from Natural vegetation[J]. Applied Geography, 2012, 34: 1 − 9. doi: 10.1016/j.apgeog.2011.10.001
    [53] Shaharum N S N, Shafri H Z M, Gambo J, et al. Mapping of krau wildlife reserve (KWR) protected area using landsat 8 and supervised classification algorithms[J]. Remote Sensing Applications: Society and Environment, 2018, 10: 24 − 35. doi: 10.1016/j.rsase.2018.01.002
    [54] Xu H, Ma C, Lian J, et al. Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China[J]. Journal of Hydrology, 2018, 563: 975 − 986. doi: 10.1016/j.jhydrol.2018.06.060
    [55] Regmi N R, Rasmussen C. Predictive mapping of soil-landscape relationships in the arid Southwest United States[J]. Catena, 2018, 165: 473 − 486. doi: 10.1016/j.catena.2018.02.031
    [56] 付 强. 基于多源数据的田块尺度精准管理分区研究[D]. 东北农业大学, 2016.
    [57] 张 泽. 基于GIS的土壤氮素分区管理与施肥模型建立研究[D]. 石河子大学, 2015.
    [58] Behera S K, Mathur R K, Shukla A K, et al. Spatial variability of soil properties and delineation of soil management zones of oil palm plantations grown in a hot and humid tropical region of southern India[J]. Catena, 2018, 165: 251 − 259. doi: 10.1016/j.catena.2018.02.008
    [59] Kweon G. Delineation of site-specific productivity zones using soil properties and topographic attributes with a fuzzy logic system[J]. Biosystems Engineering, 2012, 112(4): 261 − 277. doi: 10.1016/j.biosystemseng.2012.04.009
    [60] Betzek N M, Souza E G D, Bazzi C L, et al. Rectification methods for optimization of management zones[J]. Computers & Electronics in Agriculture, 2018, 146(1): 1 − 11.
    [61] 李渊博. 基于GIS的不同时期烟田土壤养分管理分区研究[D]. 河南农业大学, 2014.
    [62] Pedroso M, Taylor J, Tisseyre B, et al. A segmentation algorithm for the delineation of agricultural management zones[J]. Computers and Electronics in Agriculture, 2010, 70(1): 199 − 208. doi: 10.1016/j.compag.2009.10.007
    [63] Ouyang Z T, Zhang M Q, Xie X, et al. A comparison of pixel based and object-oriented approaches to VHR imagery for mapping saltmarsh plants[J]. Ecological Informatics, 2011, 6(2): 136 − 146. doi: 10.1016/j.ecoinf.2011.01.002
    [64] 陈春雷, 武 刚. 面向对象的遥感影像最优分割尺度评价[J]. 遥感技术与应用, 2011, 26(1): 96 − 102. doi: 10.11873/j.issn.1004-0323.2011.1.96
    [65] Benz U, Development S. Definiens Imaging GmbH: eCognition: Object Oriented Image. 2001.
    [66] Bernabé S, Plaza A, Reddy M P, et al. A new parallel tool for classification of remotely sensed imagery[J]. Computers and Geosciences, 2012, 46(46): 208 − 218.
    [67] Wang X Z, Liu G S, Hu H C, et al. Determination of management zones for a tobacco field based on soil fertility[J]. Computers & Electronics in Agriculture, 2009, 65(2): 168 − 175.
    [68] Ohana L N, Ben G A, Peeters A, et al. A comparison between spatial clustering models for determining N-fertilization management zones in orchards[J]. Precision Agriculture, 2021, 22: 99 − 123. doi: 10.1007/s11119-020-09731-5
    [69] Tripathi R, Nayak A K, Shahid M, et al. Delineation of soilmanagement zones for a rice cultivated area in eastern India usingfuzzy clustering[J]. Catena, 2015, 133: 128 − 136. doi: 10.1016/j.catena.2015.05.009
    [70] Frogbrook Z L, Oliver M A. Identifying management zones in agricultural fields using spatially constrained classification of soil and ancillary data[J]. Soil Use & Management, 2010, 23(1): 40 − 51.
    [71] 安光辉, 马 蓉, 陈 伟, 等. 基于K-均值聚类的绿洲农田管理分区提取的研究[J]. 石河子大学学报(自然科学版), 2011, 29(06): 757 − 761.
    [72] 李 翔, 潘瑜春, 赵春江, 等. 基于空间连续性聚类算法的精准农业管理分区研究[J]. 农业工程学报, 2005, (08): 78 − 82. doi: 10.3321/j.issn:1002-6819.2005.08.017
    [73] Guastaferro F, Castrignanò A, Benedetto D D, et al. A comparison of different algorithms for the delineation of management zones[J]. Precision Agriculture, 2010, 11(6): 600 − 620. doi: 10.1007/s11119-010-9183-4
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  • 收稿日期:  2020-11-02
  • 修回日期:  2021-04-26
  • 刊出日期:  2021-08-06

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