Pampanga State Agricultural University

Office of the Library Services and Museum

Mobile-Based Corn Leaf Pest Identification Using Image Processing (Record no. 16993)

MARC details
000 -LEADER
fixed length control field 02891ntm a2200193 a 4500
001 - CONTROL NUMBER
control field 137245
003 - CONTROL NUMBER IDENTIFIER
control field 0000000000
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250408094756.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field s r n 0 0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240320n 000 0 eng d
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Benitez Kimberly P., Bondoc Franchesz Millen L.,.
245 00 - TITLE STATEMENT
Title Mobile-Based Corn Leaf Pest Identification Using Image Processing
Medium [manuscript] /
Statement of responsibility, etc. Benitez Kimberly P.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Magalang, Pampanga :
Name of publisher, distributor, etc. Pampanga State Agricultural University,
Date of publication, distribution, etc. June 2023.
300 ## - PHYSICAL DESCRIPTION
Extent ix, 87 leaves ;
Dimensions 28 cm + 1computer disc (4 3/4 inch)
500 ## - GENERAL NOTE
General note ABSTRACT Benitez Kimberly P., Bondoc Franchesz Millen L., Department of Computer Studies, and Automation- College of Engineering and Computer Studies, Pampanga State Agricultural State University, Magalang Pampanga. JUNE 2023. "MOBILE-BASED CORN LEAF PEST IDENTIFICATION USING IMAGE PROCESSING". Adviser: Prof. Gemmarie M. Tapnio This study is entitled "Mobile-Based Corn Leaf Pest ldentification Using Image Processing." The study met its objectives based on the survey. The study aimed to help the farmers identify pests that ruin their crops and provide suggested pesticides that will prevent them. Additionally, the application is offline, so farmers can use it even with a poor connection. The application provides library features and a guide. Using different methods and procedures, researchers were able to define and analyze the problem and its solutions. The agile method of research was used in the development of the system; the researchers used the six phases: plan, design, develop, test, deploy, and review. Researchers used the following instruments to gather information for the study: internet research, interviews, and questionnaires. After colecting all the data, the researchers concluded that their objectives were met based on the survey. Three (3) IT experts at Pampanga State Agricultural University strongly agree with the system. Twenty-five (25) farmers at Cruzian strongly agree with the system. Five (5) crop science professors at Pampanga State Agricultural University strongly agree with the system. The IT experts from Pampanga State Agricultural University evaluated the functions of the system, and they strongly agreed, with an average of 3.55. The application is functional based on the statements given in the survey. The researchers tabulated the farmer's responses in Cruzian with an overall mean of 3.61, which means they strongly agree with the system. The crop science professors also give feedback with an overall mean of 4, and they strongly agree with the application.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gemmarie M. Tapnio,
Relator term Adviser.
730 0# - ADDED ENTRY--UNIFORM TITLE
Uniform title Mobile-Based Corn Leaf Pest Identification Using Image Processing.
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
      Not for loan BS Info. Technology PSAU OLM PSAU OLM Dissertation, Theses 07/11/2024   CP B46 2023 CP13228 04/08/2025 04/08/2025 Theses