Agricultural Geoinformatics/??????? (Chinese Edition) [Chinese]

By 侯彦林等

An excellent work that deeply integrates agricultural geoinformatics with research on typical geographical indication crops, combining theoretical innovation with practical application. 一部将农业地理信息学与典型地标作物研究深度融合，兼具理论创新与实践应用的佳作。 This book is divided into nine parts. Part One introduces the theories and methods of agricultural geoinformatics. Part Two takes six typical geographical indication crops in Guangxi as examples to conduct a qualitative analysis of their agricultural geoinformation characteristics. Part Three establishes methods and models for predicting the occurrence patterns of citrus huanglongbing based on meteorological conditions using quantitative, semi-quantitative, and literature-based approaches. Part Four takes the analysis of soluble solids content, which reflects the quality of Shatian pomelo, as an example to introduce semi-quantitative prediction models based on meteorological conditions for Rong County in Guangxi, Meizhou City in Guangdong Province, Changshou District in Chongqing Municipality, and Yangshuo County in Guilin City, Guangxi. Part Five introduces semi-quantitative prediction models for the alternate bearing of mango yields in Baise City and Nanning City of Guangxi and Panzhihua City of Sichuan Province. Part Six establishes semi-quantitative prediction models based on meteorological conditions for the alternate bearing of litchi yields for seven geographical indication litchi varieties in Guangxi and for litchi in Danzhou City, Hainan Province. Part Seven establishes semi-quantitative prediction models based on meteorological conditions for the alternate bearing of citrus yields in Pingle County, Guilin City, Guangxi, and for eight citrus varieties in Guilin City. Part Eight introduces a semi-quantitative prediction model for the soluble solids content of Shatian pomelo in Rong County, Guangxi, based on site conditions. Part Nine presents comparative case studies in agricultural geoinformatics. 本书分为九部分：第一部分介绍农业地理信息学理论和方法；第二部分以广西区六个典型地标作物为例对其农业地理信息特征进行定性解析；第三部分建立了基于气象条件的定量、半定量和文献资料的柑橘黄龙病发病规律预测方法和模型；第四部分以反映沙田柚品质的可溶性固形物含量解析为例介绍广西区容县、广东省梅州市、重庆市长寿区和广西区桂林市阳朔县的基于气象条件的半定量预测模型；第五部分介绍广西区百色市、广西区南宁市和四川省攀枝花市芒果产量大小年作为研究内容的半定量预测模型；第六部分建立了基于气象条件的广西区七个地标荔枝和海南省儋州市荔枝产量大小年半定量预测模型；第七部分建立了基于广西区桂林市平乐县柑橘和桂林市柑橘八个品种的产量大小年半定量预测模型；第八部分介绍了基于立地条件建立的广西区容县沙田柚可溶性固形物含量半定量预测模型；第九部分为农业地理信息学案例对比研究。

• Format: Paperback
• Language: Chinese
• ISBN: 7565527386
• ISBN13: 9787565527388
• Release Date: June 2022
• Publisher: China National Publications Import & Export C
• Length: 326 Pages
• Weight: 2.13 lbs.
• Dimensions: 10.8" x 0.9" x 8.3"