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A Novel Technique In Crop Maturity Prediction: Agriculture Automation and Farm Mechanization Application in Oil Palm Plantation and Industry - Couverture souple

Haji Razali, Muhammad Hudzari; Wan Ismail, Wan Ishak; Roslan, Syazili

 
9783847315513: A Novel Technique In Crop Maturity Prediction: Agriculture Automation and Farm Mechanization Application in Oil Palm Plantation and Industry
Couverture souple
ISBN 10 : 384731551X ISBN 13 : 9783847315513
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Harvesting of the primary crop in Malaysia namely oil palm fresh fruit bunches (FFB) at correct stage of ripening is important in maximizing crop yield. Digital value of image known as Hue was used to measure the oil palm fruit colour skin in actual plantation condition. Using Analysis of Variance (ANOVA) method, the Hue was found the best digital value for determine the color surface of FFB among another digital value component of Red, Green and Blue. The relationship of the oil content for Mesocarp oil palm fruits with the digital value of Hue was analysed. The procedure starts from image capturing of the FFB during unripe (black color surface until overripe stage (orange color surface).The variety of oil palm is Tenera: Elaeis Guineensis. The formulated predicted equation was Y = -0.0116X2 + 5.2376X – 514.88 (R2 = 0.884) with Y as the Mesocarp oil content and X as the Hue optical property. High correlation of Hue digital value was found between the developed systems using the Nikon digital camera and the Keyence machine vision with correlation close to 0.929 and accuracy of 97%.Simulation model was developed for estimation the harvesting days of FFB.

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Présentation de l'éditeur

Harvesting of the primary crop in Malaysia namely oil palm fresh fruit bunches (FFB) at correct stage of ripening is important in maximizing crop yield. Digital value of image known as Hue was used to measure the oil palm fruit colour skin in actual plantation condition. Using Analysis of Variance (ANOVA) method, the Hue was found the best digital value for determine the color surface of FFB among another digital value component of Red, Green and Blue. The relationship of the oil content for Mesocarp oil palm fruits with the digital value of Hue was analysed. The procedure starts from image capturing of the FFB during unripe (black color surface until overripe stage (orange color surface).The variety of oil palm is Tenera: Elaeis Guineensis. The formulated predicted equation was Y = -0.0116X2 + 5.2376X – 514.88 (R2 = 0.884) with Y as the Mesocarp oil content and X as the Hue optical property. High correlation of Hue digital value was found between the developed systems using the Nikon digital camera and the Keyence machine vision with correlation close to 0.929 and accuracy of 97%.Simulation model was developed for estimation the harvesting days of FFB.

Biographie de l'auteur

Mohd.Hudzari Haji Razali was born on 7th February 1974 in Muar,Johor, Malaysia.He is a lecturer in the Faculty of Agriculture and Biotechnology, Universiti Sultan Zainal Abidin since 2011.He obtained his Bachelor of Mechanical Engineering (1999),Master of Science (2003) on Agriculture Automation and Robotic,PhD (2010) from Universiti Putra Malaysia

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
384731551X
ISBN 13 
9783847315513
Reliure
Broché
Nombre de pages
240
Coordonnées du fabricant
non disponible
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