FUZZY MODELING OF THE EFFECTS OF IRRIGATION AND WATER SALINITY IN HARVEST POINT OF TOMATO CROP. PART I: DESCRIPTION OF THE METHOD-Reference-Cited by-同舟云学术

FUZZY MODELING OF THE EFFECTS OF IRRIGATION AND WATER SALINITY IN HARVEST POINT OF TOMATO CROP. PART I: DESCRIPTION OF THE METHOD

Published:2019-06 Issue:3 Volume:39 Page:294-304
ISSN:1809-4430
Container-title:Engenharia Agrícola
language:
Short-container-title:Eng. Agríc.

Author:

Viais Neto Daniel dos S.¹,Cremasco Camila P.²,Bordin Deyver²,Putti Fernando F.²,Silva Junior Josué F.³,Gabriel Filho Luís R. A.²^ORCID

Affiliation:

1. São Paulo State Faculty of Technology, Brasil

2. São Paulo State University, Brasil

3. Federal University of the Triângulo Mineiro, Brasil

Publisher

FapUNIFESP (SciELO)

Subject

Agricultural and Biological Sciences (miscellaneous)

Link

http://www.scielo.br/pdf/eagri/v39n3/1809-4430-eagri-39-03-0294.pdf

Reference32 articles.

1. Tomato: Field, greenhouse and hydroponic production;Alvarenga MAR,2004

2. The history of tomato: From domestication to biopharming;Bergougnoux V;Biotechnology Advances,2014

3. Elicitation of expert knowledge for fuzzy evaluation of agricultural production systems;Cornelissen AMG;Agriculture, Ecosystems & Environment,2003

4. Methodology for determination of fuzzy controller pertinence functions for the energy evaluation of poultry industry companies;Cremasco CP;Energia na Agricultura,2010

5. Modeling minimum temperature using adaptive neuro-fuzzy inference system based on spectral analysis of climate indices: A case study in Iran;Daneshmand H;Journal of the Saudi Society of Agricultural Sciences,2015

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Software based on fuzzy logic for the classification of body mass cattle;Soft Computing;2024-07

2. Estimativa da produtividade de cana-de-açúcar: Uma abordagem utilizando lógica fuzzy;REVISTA CIÊNCIA AGRONÔMICA;2024

3. Fuzzy modeling of biometric variables development of tomato crop under irrigation and water salinity effects;Acta Scientiarum. Agronomy;2023-12-11

4. NEURO-FUZZY MODELING AS SUPPORT FOR DECISION-MAKING IN THE PRODUCTION OF IRRIGATED CORIANDER UNDER MULCH IN THE SEMI-ARID REGION;Engenharia Agrícola;2023

5. MODELOS DE MACHINE LEARNING APLICADOS NA ESTIMAÇÃO DA EVAPOTRANSPIRAÇÃO DE REFERÊNCIA DO PLANALTO OCIDENTAL PAULISTA;Nativa;2022-11-16