Skip to main content
Computers and Electronics in AgricultureVolume 25, Issue 3, February 2000, Pages 233-243The 1st European Conference for Information Technology in Agriculture; Copenhagen, Denmark; ; 15 June 1997 through 18 June 1997; Code 56652

A multi-agent system for the determination of optimal hybrids in crop production(Article)

  Save all to author list
  • Institute of Mathematics, Univ. Novi Sad, Trg Dositeja, O., Novi Sad, Serbia

Abstract

Empirical experience shows that human experts determine suitable hybrids to grow in four steps. A general expert system prototype is built on the same principle, using an agent-oriented approach. The knowledge base consists of several agents. Agents communicate using their own language and update their internal beliefs until a solution is reached. A general prototype is being used for the creation of an expert system prototype for the determination of optimal maize hybrids to grow. (C) 2000 Elsevier Science B.V.

Empirical experience shows that human experts determine suitable hybrids to grow in four steps. A general expert system prototype is built on the same principle, using an agent-oriented approach. The knowledge base consists of several agents. Agents communicate using their own language and update their internal beliefs until a solution is reached. A general prototype is being used for the creation of an expert system prototype for the determination of optimal maize hybrids to grow.

Author keywords

Expert systemHybridMaizeMulti-agent systemVariety

Indexed keywords

Biotechnology descriptors:crop productionexpert systemhybridmaizeplant breeding
Engineering controlled terms:AgricultureComputer programming languagesExpert systemsSoftware prototyping
Engineering uncontrolled termsHybridMaizeMulti agent system
Engineering main heading:Crops
Species Index:Zea mays
  • ISSN: 01681699
  • CODEN: CEAGE
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1016/S0168-1699(99)00071-X
  • Document Type: Article
  • Publisher: Elsevier Science Publishers B.V.,Amsterdam

  Badjonski, M.; Institute of Mathematics, University of Novi Sad, Trg Dositeja, Obradovica 4, Serbia;
© Copyright 2019 Elsevier B.V., All rights reserved.

Cited by 17 documents

Weerasinghe, N.C. , Amarakoon, A.V.G.H.S. , Fernando, W.W.R.S.
HABARALA - A Comprehensive Solution for Food Security and Sustainable Agriculture through Alternative Food Resources and Technology
(2023) 2023 IEEE 17th International Conference on Industrial and Information Systems, ICIIS 2023 - Proceedings
Somasekhar, G. , Srujanraju, K. , Huchaiah, M.D.
Artificial Intelligence: A New Hope in Agriculture
(2022) Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges
Thangaraj, A. , Patricia, A. , Samarasinghe, S.
Modelling a multi agent system for dairy farms for integrated decision making
(2017) Proceedings - 22nd International Congress on Modelling and Simulation, MODSIM 2017
View details of all 17 citations
{"topic":{"name":"Decision-Making; Expert System; Cybersecurity","id":59891,"uri":"Topic/59891","prominencePercentile":68.14657,"prominencePercentileString":"68.147","overallScholarlyOutput":0},"dig":"a40e246fab55728d1d38adbc30df2adcc4a1af055c46b6810bc93f87776506e3"}

SciVal Topic Prominence

Topic:
Prominence percentile: