Statistical model and prediction of pineapple plant weight

• Main Authors: Usman, Mustofa, Elfaki, Faiz Ahmed Mohamed, Wamiliana, Wamiliana, Fauzan, Fauzan, Daoud, Jamal Ibrahim
• Format: Article
• Language: English
• Published: Sci.Int.(Lahore) 2015
• Subjects: QA Mathematics
• Online Access: http://irep.iium.edu.my/42862/1/Mustofa_Usman--SI.pdf; http://irep.iium.edu.my/42862/; http://sci-int.com/
• Institution: Universiti Islam Antarabangsa Malaysia

In the Great Giant Pineapples Company, the problem of prediction of weight of fruits at harvest has become a long critical problem for the planning, cannery and marketing. The company has been trying for a long time to find the best method to predict the production of pineapple weight per hectare by using the information of plant weight. It is well known that the fruit weight has linear relationship with the pineapples plant weight. In this study, the modeling and prediction of pineapples plant weight will be discussed based on some factors. The experiment have been conducted in four difference locations and cultivar classes and varieties, namely location 094D with cultivar class Medium Crown and variety GP1, location 126C with cultivar class Medium Crown and variety GP1, location 158H with cultivar class Small Crown and variety GP1and in location 576D with cultivar class Medium Crown and variety GP1. The age of plants are 15 months of age. From each location 40 data has been taken by method of systematic random sampling. Than from each datum the plant weight (W) in kg, number of perfect leaves (NPL), the length of the longest leaf (LLL) in cm, and the width of the longest leaf (WLL) in cm are measured. From the analysis the plant weight best predicted by using variables NPL, LLL, and WLL in all locations.