STUDY ON SOIL NUTRIENT MANAGEMENT AND FERTILIZATION MODEL IN NINGXIA COUNTY TERRITORY WITH GIS
文献类型: 外文期刊
第一作者: Liu, Libo
作者: Liu, Libo;Zhou, Guomin
作者机构:
关键词: GIS;Soil nutrient;Fertilizer model;Goal output;Fertilizer parameter
期刊名称:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOL 1
ISSN: 1571-5736
年卷期: 2009 年 293 卷
页码:
收录情况: SCI
摘要: By adopting the GIS technology, this thesis tries to collect and recognize the existing pedological map. the soil nutrient graphic document and other related documents data of Ningxia. And with the classification and filtration to the material, the spatial databases and the attribute database call be established to combine the county territory soil nutrient data and the geography graph together to make the Uninteresting form data visualized. Based oil the soil nutrient database, the mathematical model is established by means of the design of the regression orthogonal combination. And Through file mathematical model optimization, the quantity of nitrophoskas which is employed at the maximum production rate as well as at the lowest call be obtained. With these, the paper proposes a model which call dispose, judge and analyze all the factors related to the fertilization to achieve the concrete formula and the amount of commonly Used fat and the special-purpose compound fat. Therefore, the data analysis and the auxiliary decision-making enormously facilitate, and the automatization and the rationalization of all kind of crop's fertilization scheme in Ningxia can be realized.
分类号:
- 相关文献
作者其他论文 更多>>
-
Extracting Fruit Disease Knowledge from Research Papers Based on Large Language Models and Prompt Engineering
作者:Fei, Yunqiao;Fan, Jingchao;Fei, Yunqiao;Fei, Yunqiao;Fan, Jingchao;Zhou, Guomin;Zhou, Guomin
关键词:research papers; knowledge extraction; large language models; prompt engineering; fruit tree diseases
-
TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion
作者:Chen, Xiaojing;Fan, Jingchao;Yan, Shen;Zhou, Guomin;Zhang, Jianhua;Chen, Xiaojing;Fan, Jingchao;Huang, Longyu;Zhou, Guomin;Zhang, Jianhua;Huang, Longyu;Huang, Longyu
关键词:KASP fractal evaluation; multi-model fusion; stacking integration; deep learning; hyperparameter tuning
-
Transfer large models to crop pest recognition-A cross-modal unified framework for parameters efficient fine-tuning
作者:Liu, Jianping;Xing, Jialu;Sun, Lulu;Chen, Xi;Liu, Jianping;Zhou, Guomin;Wang, Jian
关键词:Parameters efficient fine-tuning; Cross-modal fusion; Computer vision; Large pre-training model; Pest recognition; CLIP
-
Semantic Segmentation of Rice Fields in Sub-Meter Satellite Imagery Using an HRNet-CA-Enhanced DeepLabV3+Framework
作者:Shao, Yifan;Pan, Pan;Zhao, Hongxin;Li, Jiale;Yu, Guoping;Zhang, Jianhua;Shao, Yifan;Pan, Pan;Zhao, Hongxin;Li, Jiale;Yu, Guoping;Zhang, Jianhua;Zhou, Guomin;Zhou, Guomin;Zhou, Guomin
关键词:rice area; DeepLabV3+; High-Resolution Network; coordinate attention; semantic segmentation
-
ST-YOLO: a deep learning based intelligent identification model for salt tolerance of wild rice seedlings
作者:Yao, Qiong;Pan, Pan;Zhang, Jianhua;Yao, Qiong;Pan, Pan;Zheng, Xiaoming;Zhang, Jianhua;Zheng, Xiaoming;Zhou, Guomin;Zhou, Guomin;Zhou, Guomin
关键词:wild rice; salt resistance grade; intelligent evaluation identification; deep learning; seedling
-
SFCE-VT: Spatial feature fusion and contrast-enhanced visual transformer for fine-grained agricultural pests visual classification
作者:Liu, Jianping;Sun, Lulu;Xing, Jialu;Wang, Chenyang;Liu, Jianping;Zhou, Guomin;Wang, Jian
关键词:Agricultural pests; Fine-grained visual classification; Vision transformer; Spatial feature fusion; Contrast enhanced
-
SGR-YOLO: a method for detecting seed germination rate in wild rice
作者:Yao, Qiong;Yao, Qiong;Zheng, Xiaoming;Zhou, Guomin;Zhang, Jianhua;Zhou, Guomin;Zhang, Jianhua
关键词:wild rice; germination detection; deep learning; SGR-YOLO; BiFPN