Corn leaf disease classification using local binary patterns (LBP) feature extraction

A Rachmad, M Syarief, S Rifka, F Sonata… - Journal of Physics …, 2022 - iopscience.iop.org
Corn is a plant that is widely grown in developing countries such as Indonesia. To increase
maize yields, researchers are always innovating on the current state of technology for …

Comparison of Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), and Stochastic Gradient Descent (SGD) for Classifying Corn Leaf Disease based on …

F Solihin, M Syarief, EMS Rochman… - Elinvo (Electronics …, 2023 - journal.uny.ac.id
Image classification involves categorizing an image's pixels into specific classes based on
their unique characteristics. It has diverse applications in everyday life. One such application …

[PDF][PDF] ARTIFICIAL NEURAL NETWORK MODEL APPROACH TO PREDICT BODY WEIGHT IN SOUTHERN ANATOLIAN RED CATTLE.

H Hizli - JAPS: Journal of Animal & Plant Sciences, 2023 - thejaps.org.pk
For sustainable animal breeding, body weight and morphological measurements are taken.
In this study, a multi-layer feed-forward neural network model was created utilizing several …

Classification of Diseases on Corn Stalks using a Random Forest based on a Combination of the Feature Extraction (Local Binary Pattern and Color Histogram)

A Rachmad, N Ansori, S Rifka, EMS Rochman… - 2023 - techniumscience.com
Corn disease has a significant impact on both the food industry and the yield of corn crops
since corn serves as a fundamental and essential source of nutrition, especially for …

[PDF][PDF] Welcome to

F TO - SAT, 2020 - mmiaeb.net
MMIAScripts is a voluntary prescription drug program that is available to eligible members,
retirees and their dependents of Montana Municipal Interlocal Authority's Employee Benefits …