MOBILE APPLICATION FOR CLASSIFICATION AND DATA COLLECTION OF CORN DISEASE USING IMAGE PROCESSING

Simple item page
dc.contributor.authorManahan, Jhosep B.
dc.contributor.authorPerlaoan, Jelmark M.
dc.contributor.authorTorne, Danna Vieyl Joy, C.
dc.date.accessioned2025-04-29T06:20:14Z
dc.date.available2025-04-29T06:20:14Z
dc.date.issued2024-06-11
dc.descriptionKeyword:
dc.description.abstractCorn (Zea mays), a significant cereal crop, is vital for livestock feed, human consumption, biofuel, and industry. However, it is vulnerable to diseases caused by bacteria, fungi, viruses, nematodes, and environmental conditions, leading to yield losses of up to 100%. In the Science City of Muñoz, traditional methods for diagnosing corn diseases are labor-intensive and error-prone. To address this, research aims to develop an Android application that uses image processing and a deep convolutional neural network (CNN) classifier to identify diseases like Gray Leaf Spot, Common Rust, and Corn Leaf Blight. The app will enable users to capture images of corn leaves for diagnosis and contribute data to a central database, facilitating proactive disease management. It incorporates GIS technology for offline functionality, supporting farmers with limited internet access and enhancing crop health and productivity
dc.identifier.urihttp://granarium.clsu.edu.ph/handle/123456789/138
dc.relation.supervisorMR. KARLO CRIS BOLISAY
dc.titleMOBILE APPLICATION FOR CLASSIFICATION AND DATA COLLECTION OF CORN DISEASE USING IMAGE PROCESSING
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
MOBILE APPLICATION FOR CLASSIFICATION AND DATA COLLECTION OF CORN DISEASE USING IMAGE PROCESSING.pdf
Size:
19.48 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Undergraduate