Precision agriculture adjusts soil and crop management practices accurately to pursue the optimal use of agricultural inputs (such as fertilizers, pesticides, water, seeds and other inputs) and obtain maximum yield and maximum economic efficiency in accordance with the specific conditions of each operating unit, while reducing chemical use, protecting agricultural ecological environment, land and other natural resources. In this paper, starting with the requirements of precision agriculture data, based on the geographic grid system, we made the precision agriculture database design with the grid as the basic unit. Grid database accurately reflects the need to obtain plots of differences in soil within meters of the bottom level, yield, fertility, micro-topography, crop, water, worms, grass and other information, so the stored data using a grid is in line with the needs of precision agriculture. The use of geo-spatial positioning of the grid to support the sharing of geographic data, to facilitate the integration and application of spatial information analysis of the grid within the soil background and crop research in order to achieve precision agriculture has a very important significance. We studied changes of various factors (climate, soil, seeds, agricultural machinery, fertilizers, pesticides, energy, etc.) in the field (different grid), and the relationship between them, in order to adopt the best planting program and the adaptive water, fertilizer and pesticide, to maintain good crop growing conditions as well.
JIANG Lili, QI Qingwen, ZHANG An
. Grid-based Precision Agriculture Database and Its Demonstrative Application: Taking Shuangshan Farm in Heilongjiang Province as an Example[J]. Journal of Geo-information Science, 2011
, 13(6)
: 804
-810
.
DOI: 10.3724/SP.J.1047.2011.00804
[1] 赵春江,薛绪掌,王秀,等. 精准农业技术体系的研究进展与展望[J]. 农业工程学报,2003,19(4):7-12.
[2] 王克林,李文祥.精确农业发展与农业生态工程创新[J]. 农业工程学报,2000,16(1):5-8.
[3] 赵军,王熙,庄卫东. 基于GPS 的变量施肥播种机的试验研究[J]. 农机化研究,2006,28(12):154 -156.
[4] 马晓蕾,范广博,李永玉,等. 精准施肥决策模型与数据库系统[J]. 农业机械学报,2011,42(5):193-197.
[5] 陈立平. 精准农业变量施肥理论与试验研究 . 中国农业大学,2003.
[6] 吴才聪,马成林,张书慧,等. 精确农业倾斜网格划分及其应用[J]. 农业工程学报,2003,19(1):137 -141.
[7] Franzen D W. Summary of Grid Sampling Project in Two Illinois Fields[J]. NDSU Technical Bulletin, NDSU Extension Service, Fargo, ND, 2008.
[8] Clay D E, Chang J, Carlson C G, Malo D, Clay S A and Ellsbury M. Precision Farming Protocols (Part 2), Comparison of Sampling Approaches for Precision Phosphorus Management[J]. Communications in Soil Science and Plant Analysis, 2000, 31: 2969-2985.
[9] 奚廷孔,张艳新. 土壤样品的采集和处理技术[J]. 广西农学报,2007,22(3):36-43.
[10] 杨俐苹,白由路. 土壤测试实验室数据自动采集处理与推荐施肥系统[J]. 中国土壤与肥料,2008,45(4):65-68,72.
[11] 林芬芳.不同尺度土壤质量空间变异机理、评价及其应用研究 . 浙江大学博士论文,2009.
[12] 尹兰香.同安区耕地土壤化学性质空间变异特征及插值模型效果的研究 .福建农林大学硕士论文,2006.
[13] 王绍强,朱松丽,周成虎.中国土壤土层厚度的空间变异特征[J].地理研究,2001,20(2):161-169.
[14] 史利江.基于GIS和地统计学的土壤养分空间变异特征研究 .上海师范大学硕士论文,2006.
[15] 左继林,刘苑秋,胡松竹,等.龟峰镇土壤养分空间变异特征的研究[J].西北农业学报,2004,13(3):131-136.
[16] Mallarino A P and Wittry D J. Efficacy of Grid and Zone Soil Sampling Approaches for Site-specific Assessment of Phosphorus, Potassium, pH, and Organic Matter[J]. Precision Agriculture, 2004, 5: 131-144.
[17] Moges S M, Raun W R, Mullen R W, Freeman K W, Johnson G V and Solie J B. Evaluation of Green, Red, and Near Infrared Bands for Predicting Winter Wheat Biomass, Nitrogen Uptake, and Final Grain Yield[J]. Journal of Plant Nutrition, 2004, 27: 1431-1441.
[18] Lobell D B, Ortiz-Monasterio J I, Asner G P, Naylor R L and Falcon W P. Combining Field Surveys, Remote Sensing, and Regression Trees to Understand Yield Variations in an Irrigated Wheat Landscape[J]. Agronomy Journal,2005,97:241-249.