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The design and implementation of an integrated optimal fertilization decision support system

Published: 01 August 2011 Publication History

Abstract

This paper designs fertilization decision support algorithms from the perspective of decision support system with the model of agricultural fertilization principles. These integrated and optimal algorithms can provide accurate scheme of fertilization for users. The fertilization decision support system was designed and implemented in accordance with the B/S structure by using ASP.NET platform and SQL2000 database, which has wide applicability, flexibility and high accuracy. It is practical and interactive to meet the needs of most of the users.

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Cited By

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  • (2021)Fertilizer application management under uncertainty using approximate dynamic programmingComputers and Industrial Engineering10.1016/j.cie.2021.107624161:COnline publication date: 1-Nov-2021
  • (2020)Application Domain-Based Overview of IoT Network Traffic CharacteristicsACM Computing Surveys10.1145/339966953:4(1-33)Online publication date: 11-Jul-2020
  • (2019)Research directions in technology development to support real-time decisions of fresh produce logisticsComputers and Electronics in Agriculture10.1016/j.compag.2019.105092167:COnline publication date: 1-Dec-2019
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Information & Contributors

Information

Published In

cover image Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal  Volume 54, Issue 3-4
August, 2011
356 pages

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 August 2011

Author Tags

  1. ASP.NET
  2. B/S structure
  3. Fertilization algorithm
  4. Fertilization decision support system
  5. Structure design

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Cited By

View all
  • (2021)Fertilizer application management under uncertainty using approximate dynamic programmingComputers and Industrial Engineering10.1016/j.cie.2021.107624161:COnline publication date: 1-Nov-2021
  • (2020)Application Domain-Based Overview of IoT Network Traffic CharacteristicsACM Computing Surveys10.1145/339966953:4(1-33)Online publication date: 11-Jul-2020
  • (2019)Research directions in technology development to support real-time decisions of fresh produce logisticsComputers and Electronics in Agriculture10.1016/j.compag.2019.105092167:COnline publication date: 1-Dec-2019
  • (2018)Smart Agricultural Enterprise System Based on Integration of Internet of Things and Agent TechnologyJournal of Organizational and End User Computing10.4018/JOEUC.201810010530:4(64-82)Online publication date: 1-Oct-2018
  • (2012)Effect of a participatory approach on the successful development of agricultural decision support systemsDecision Support Systems10.1016/j.dss.2012.05.00254:1(164-172)Online publication date: 1-Dec-2012

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