USE OF MACHINE VISION SYSTEM FOR EVALUATION OF BIOCONTROL POTENTIAL OF TWO ANTAGONISTIC YEASTS IN COMBINATION WITH SILICON AGAINST BLUE MOLD OF APPLE FRUIT LEILA

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FARAHANI LEILA; ETEBARIAN HASAN REZA; MOHSENI TAKALLOU HADIS; AMINIAN HESHMATOLAH; SAHEBANI NAVAZOLAH

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Journal: BIO CONTROL IN PLANT PROTECTION Year:2013 | Volume:1 | Issue:1 Page(s): 29-39

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Title

USE OF MACHINE VISION SYSTEM FOR EVALUATION OF BIOCONTROL POTENTIAL OF TWO ANTAGONISTIC YEASTS IN COMBINATION WITH SILICON AGAINST BLUE MOLD OF APPLE FRUIT LEILA

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Keywords

PICHIA GUILLIERMONDIIQ2

CANDIDA MEMBRANIFACIENSQ1

PENICILLIUM EXPANSUMQ2

LDAQ2

Abstract

Plant diseases severity is presently evaluated using manual tools such as ruler, digital ruler or by scaling. Extending the great potential of computer science in accurate and rapid determination of disease severity, this study was conducted to evaluate biological control potential of two yeasts, PICHIA GUILLIERMONDII (A6) and CANDIDA MEMBRANIFACIENS (A4) in combination with silicon (Si) at 0.1%, 0.3% and 0.5% for controlling PENICILLIUM EXPANSUM P1 and P2 at 20 oC. The results showed that antagonistic yeasts controlled blue mold of apple significantly. Combination of the yeasts with Si improved the control of blue mold in comparison with yeasts alone. Statistical information obtained from the infected area in RGB channels showed that blue average (R2=0.70) was the most important and green standard deviation (R2=0.43) was the least important factors in recognition of disease severity. Linear discrimination analysis using blue average, green average, blue standard deviation, red standard deviation, green kurtosis and green standard deviation separated the disease severity statistical groups with the accuracy of 80%. The overall results of this study suggest that the color could be a powerful descriptor which could be applied for determination of disease severity in apple blue mold.

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APA: Copy

FARAHANI, LEILA, ETEBARIAN, HASAN REZA, MOHSENI TAKALLOU, HADIS, AMINIAN, HESHMATOLAH, & SAHEBANI, NAVAZOLAH. (2013). USE OF MACHINE VISION SYSTEM FOR EVALUATION OF BIOCONTROL POTENTIAL OF TWO ANTAGONISTIC YEASTS IN COMBINATION WITH SILICON AGAINST BLUE MOLD OF APPLE FRUIT LEILA. BIO CONTROL IN PLANT PROTECTION, 1(1), 29-39. SID. https://sid.ir/paper/242985/en

Vancouver: Copy

FARAHANI LEILA, ETEBARIAN HASAN REZA, MOHSENI TAKALLOU HADIS, AMINIAN HESHMATOLAH, SAHEBANI NAVAZOLAH. USE OF MACHINE VISION SYSTEM FOR EVALUATION OF BIOCONTROL POTENTIAL OF TWO ANTAGONISTIC YEASTS IN COMBINATION WITH SILICON AGAINST BLUE MOLD OF APPLE FRUIT LEILA. BIO CONTROL IN PLANT PROTECTION[Internet]. 2013;1(1):29-39. Available from: https://sid.ir/paper/242985/en

IEEE: Copy

LEILA FARAHANI, HASAN REZA ETEBARIAN, HADIS MOHSENI TAKALLOU, HESHMATOLAH AMINIAN, and NAVAZOLAH SAHEBANI, “USE OF MACHINE VISION SYSTEM FOR EVALUATION OF BIOCONTROL POTENTIAL OF TWO ANTAGONISTIC YEASTS IN COMBINATION WITH SILICON AGAINST BLUE MOLD OF APPLE FRUIT LEILA,” BIO CONTROL IN PLANT PROTECTION, vol. 1, no. 1, pp. 29–39, 2013, [Online]. Available: https://sid.ir/paper/242985/en

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