Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo L.)

MRN Rad, HR Fanaei, MRP Rad - Scientia Horticulturae, 2015 - Elsevier
The estimation of the relation between the inconstant factors can be highly helpful for
calculating the amount of variation of a particular character with respect to others. This paper …

Fruit yield prediction of pepper using artificial neural network

M Gholipoor, F Nadali - Scientia Horticulturae, 2019 - Elsevier
The prediction of pepper fruit yield is one of the most important breeding objectives in
agricultural research. So, in this study, the artificial neural network (ANN) was employed to …

[PDF][PDF] Using of factor analysis scores in multiple linear regression model for prediction of kernel weight in Ankara walnuts

E Sakar, S Keskin, H Unver - The Journal of Animal & Plant …, 2011 - academia.edu
Kernel weight is important for plant breeders to select high productive plants. The
determination of relationships between kernel weight and some fruit-kernel characteristics …

[PDF][PDF] Correlation and sequential path model for some yield-related traits in melon (Cucumis melo L.)

E Feyzian, H Dehghani, AM REZAEI, M Jalali - 2009 - sid.ir
Investigation of the interrelationships between yield and its components will improve the
efficiency of a breeding program with appropriate selection criteria. In this study, the …

Utilization of artificial neural networks in the prediction of the bunches' weight in banana plants

JDR Soares, M Pasqual, WS Lacerda, SO Silva… - Scientia …, 2013 - Elsevier
Phytotechnical characters observed in field experimental are of phenotypic nature and most
of the time its assessment is based only on the experience of the observer. The assessment …

Comparison of techniques used in the prediction of yield in banana plants

JDR Soares, M Pasqual, WS Lacerda, SO Silva… - Scientia …, 2014 - Elsevier
Phytotechnical characters observed in field experimental are of phenotypic nature and most
of the time its assessment is based only on the experience of the observer. The assessment …

Application of artificial neural network and support vector regression in predicting mass of ber fruits (Ziziphus mauritiana Lamk.) based on fruit axial dimensions

M Abdel-Sattar, AM Aboukarima, BM Alnahdi - Plos one, 2021 - journals.plos.org
Fruit quality attributes are important factors for designing a market for agricultural goods and
commodities. Support vector regression (SVR), MLR, and ANN models were established to …

Prediction of walnut mass based on physical attributes by Artificial Neural Network (ANN)

D Bünyamin, E İkbal, G Feyza, ZA Kuş… - Erwerbs …, 2020 - search.proquest.com
Several researchers have investigated the relationships among different physical attributes
of the fruits. For proper design and operation of grading systems, important relationships …

[PDF][PDF] Study of some yield traits relationship in melon (Cucumis melo L.) germplasm gene bank of Iran by correlation and factor analysis

MRN Rad, M Allahdoo, HR Fanaei - Trakia J. Sci, 2010 - researchgate.net
The success of most crop improvement program largely depends on the understanding of
relationship among characters and magnitude of this relation help to breeder to determine …

[PDF][PDF] Correlation among growth, yield and quality characters in Cucumis melo L

M Taha, K Omara, A El Jack - Cucurbit Genetics Cooperative Report, 2003 - cucurbit.info
Correlation among growth, yield and quality attributes in Cucumis melo L. was estimated
using the randomized complete block design (RCBD). Thirteen variable lines representing …