Optimal two crop succession under limited resource conditions : a mixed integer goal programming to self-financed Kapatagan farmers in Kapatagan, Digos, Davao del Sur / Eunice Mantilla Mag-usara.

By:

Mag-usara, Eunice Mantilla

Material type: Text

TextLanguage: English Publication details: 2008Description: 67 leavesSubject(s):

Dissertation note: Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2008 Abstract: A mixed integer goal programming model on two-crop succession with three seasons was developed. It is a model that maximizes net income, maximizes working capital, minimizes chemical usage, and minimizes hired labor of farmer's subject to the available resources of the farmers. This model was applied to the six major crops planted in Kapatagan namely: (1) cabbage, (2) carrots, (3) Chinese cabbage, (4) corn, (5) potato, and (6) tomato. Analytical hierarchy process was used to obtain the weights of each goal. Since farmer's preferences differed, clustering was done to group them. Each group was studied separately. Under optimal land allocation, only the goal on maximizing organic fertilizer usage was highly violated. Farmers? preferences did not matter. The goal programming model that has been developed can aid Kapatagan farmers in land allocation for crops by offering flexibility in their decision-making.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 2 )
Title notes ( 2 )
Comments ( 0 )
Images

Holdings
Cover image	Item type	Current library	Collection	Call number	Status	Date due	Barcode
	Thesis	University Library Theses	Room-Use Only	LG993.5 2008 A64 M33 (Browse shelf(Opens below))	Not For Loan		3UPML00012190
	Thesis	University Library Archives and Records	Preservation Copy	LG993.5 2008 A64 M33 (Browse shelf(Opens below))	Not For Loan		3UPML00012191

Browsing University Library shelves, Shelving location: Archives and Records, Collection: Preservation Copy Close shelf browser (Hides shelf browser)

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	LG993.5 2008 A64 J84 Loan demand forecasting using compositional time series analysis /	LG993.5 2008 A64 K62 New and extended methods in intertable ordinations : modeling structures and relationships in ecological data /	LG993.5 2008 A64 M32 Effectiveness of particles swarm optimization-tabu search (PSO-TS) to iris data set and wine data set /	LG993.5 2008 A64 M33 Optimal two crop succession under limited resource conditions : a mixed integer goal programming to self-financed Kapatagan farmers in Kapatagan, Digos, Davao del Sur /	LG993.5 2008 A64 M37 Clustering datasets with missing values using modified K-medoids algorithm /	LG993.5 2008 A64 O55 Nearest neighbor-based imputation in treating data sets with missing values and their effects in the clustering accuracy /	LG993.5 2008 A64 P44 Clustering of datasets with missing values using principal feature analysis as a feature selection tool /	Next

Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2008

A mixed integer goal programming model on two-crop succession with three seasons was developed. It is a model that maximizes net income, maximizes working capital, minimizes chemical usage, and minimizes hired labor of farmer's subject to the available resources of the farmers. This model was applied to the six major crops planted in Kapatagan namely: (1) cabbage, (2) carrots, (3) Chinese cabbage, (4) corn, (5) potato, and (6) tomato. Analytical hierarchy process was used to obtain the weights of each goal. Since farmer's preferences differed, clustering was done to group them. Each group was studied separately. Under optimal land allocation, only the goal on maximizing organic fertilizer usage was highly violated. Farmers? preferences did not matter. The goal programming model that has been developed can aid Kapatagan farmers in land allocation for crops by offering flexibility in their decision-making.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer