Decision Support System for Quantitative Calculation of Crop Climatic Suitability in Hebei Province

被引:0
|
作者
Zhang, Jing [1 ,3 ]
Zheng, Youfei [1 ,2 ]
Wang, Xin [2 ,3 ]
机构
[1] Nanjing Univ Informat Technol, Nanjing 210044, Jiangsu Provinc, Peoples R China
[2] Hebei Provincial Inst Meteorol, Shijiazhuang 050021, Hebei, Peoples R China
[3] Hebei Provincial Meteorol & Ecoenvironm, Shijiazhuang 050021, Hebei, Peoples R China
来源
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 1 | 2011年 / 344卷
关键词
Fuzzy mathematics; Climatic Suitability; quantitative calculation; decision support systems;
D O I
暂无
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The growth and development of crops would not be separated by comprehensive climatic factors, such as temperature, precipitation, sunshine and others. To some extent, the behaviors of the climate factors have great affection on the climatic suitability of crops. In order to achieve the quantitative assessment of climate factors, the decision support system for quantitative calculation on climate suitability of major crops in Hebei province such as winter wheat, corn and cotton, has been established. Developed by Microsoft Visual Basic 6.0 language, and program design built in modular structure, the system was included by three modules following as the database of climatic suitability over the stages of crops growth and development, calculation of climate suitability degerees and decision-making services. Using the differene periods such as ten days, month, season, crop growth period as the unit, the quantity changes of temperature, precipitation and sunshine would be translated into crop-climatic suitability degrees on different growth perod by membership function of fuzzy mathematics so as to achieve a quantitative assessment of climatic fators. The calculated results output adopts grid and graphic formats, and according to the results, different management decision-making information.would be chosen then .It's shown that the analysis results of crop-climatic suitability by the system for different crops and time perods are consistent with the actual situation.
引用
收藏
页码:381 / +
页数:2
相关论文
共 50 条
  • [31] A Decision Support System for Crop Recommendation Using Machine Learning Classification Algorithms
    Senapaty, Murali Krishna
    Ray, Abhishek
    Padhy, Neelamadhab
    AGRICULTURE-BASEL, 2024, 14 (08):
  • [32] Fuzzy decision support system for improving the crop productivity and efficient use of fertilizers
    Prabakaran, G.
    Vaithiyanathan, D.
    Ganesan, Madhavi
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 150 : 88 - 97
  • [33] Proposed Decision Support System (DSS) for Indian Rice Crop Yield Prediction
    Gandhi, Niketa
    Armstrong, Leisa J.
    Petkar, Owaiz
    2016 IEEE INTERNATIONAL CONFERENCE ON TECHNOLOGICAL INNOVATIONS IN ICT FOR AGRICULTURE AND RURAL DEVELOPMENT (TIAR), 2016, : 13 - 18
  • [34] Architectural Outline of GIS-Based Decision Support System for Crop Selection
    Tamsekar, Preetam
    Deshmukh, Nilesh
    Bhalchandra, Parag
    Kulkarni, Govind
    Kamble, Vijendra
    Hambarde, Kailas
    Bahuguna, Vijay
    SMART COMPUTING AND INFORMATICS, 2018, 77 : 155 - 162
  • [35] Using a decision support system to optimize production of agricultural crop residue Biofeedstock
    Hoskinson, Reed L.
    Rope, Ronald C.
    Fink, Raymond K.
    BIOMASS & BIOENERGY, 2007, 31 (04): : 186 - 194
  • [36] Information technology in applied plant pathology - a decision support system for crop protection
    Secher, BJM
    Murali, NS
    INFORMATION TECHNOLOGY, PLANT PATHOLOGY AND BIODIVERSITY, 1998, : 159 - 172
  • [37] DESIGN AND DEVELOPMENT OF AN INFORMATION SYSTEM TO SUPPORT DECISION MAKING IN PERENNIAL CROP PLANTING
    Yuryeva, Diana
    Kokkinaki, Angelika I.
    MANAGERIAL AND ENTREPRENEURIAL DEVELOPMENTS IN THE MEDITERRANEAN AREA, 2009, : 1913 - 1926
  • [38] KNOWLEDGE-BASED DECISION-SUPPORT SYSTEM FOR CROP-ROTATION
    TENNAKOON, SB
    BELL, CJ
    AI APPLICATIONS, 1994, 8 (03): : 69 - 70
  • [39] Krushi samriddhi: a decision support system for farmers to get high crop yield
    Patil, Tanuja R.
    Shamshuddin, K.
    Patil, Rajashekhar
    Sadanand, P.
    2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL TECHNIQUES IN INFORMATION AND COMMUNICATION TECHNOLOGIES (ICCTICT), 2016,
  • [40] Decision support system for controlling the growth of greenhouse pepper crops based on climatic conditions
    Sanchez, J. A.
    Perez, N.
    Rodriguez, F.
    Guzman, J. L.
    Lopez, J. C.
    VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS: INNOVAR Y PRODUCIR PARA EL FUTURO. INNOVATING AND PRODUCING FOR THE FUTURE, 2014, : 305 - 310