Convolutional Neural Network-Based Classification Model of Corn Leaf Disease.

A Rachmad, M Fuad… - … Modelling of Engineering …, 2023 - search.ebscohost.com
The decline in corn production can affect the continuity of food grown in society, especially in
Indonesia, which is a country with a high level of corn consumers. Several factors cause a …

Application of Near Infrared Hyperspectral Imaging Technology in Purity Detection of Hybrid Maize

H Xue, Y Yang, X Xu, N Zhang, Y Lv - Applied Sciences, 2023 - mdpi.com
Seed purity has an important impact on the yield and quality of maize. Studying the spectral
characteristics of hybrid maize and exploring the rapid and non-destructive detection …

[HTML][HTML] Real-time precision spraying application for tobacco plants

M Arsalan, A Rashid, K Khan, A Imran, F Khan… - Smart Agricultural …, 2024 - Elsevier
This paper introduces a precision agriculture application aimed at mitigating the excessive
utilization of agricultural chemicals, including pesticides and fungicides during crop …

An Automated System for Osteoarthritis Severity Scoring Using Residual Neural Networks.

A Rachmad, F Sonata, J Hutagalung… - Mathematical …, 2023 - search.ebscohost.com
Osteoarthritis (OA) is a chronic disease, characterized by progressive deterioration of
cartilage tissue and consequent thinning of the cartilage layer within joints. This degradation …

MTDL-EPDCLD: A Multi-Task Deep-Learning-Based System for Enhanced Precision Detection and Diagnosis of Corn Leaf Diseases

D Dai, P Xia, Z Zhu, H Che - Plants, 2023 - mdpi.com
Corn leaf diseases lead to significant losses in agricultural production, posing challenges to
global food security. Accurate and timely detection and diagnosis are crucial for …

Perancangan Alat Pengukur Tinggi Badan dan Berat Badan untuk Penentuan Kondisi Gizi Bayi

A Ubaidillah, K Joni, N Afif, SI Kholida - Rekayasa, 2024 - journal.trunojoyo.ac.id
Nutrition is very important for the healthy and normal growth of babies. Determination of
infant nutrition is usually calculated from two parameters, namely the baby's height and …

Harvesting Insights: An Innovative Framework for Maize Leaf Disease Detection through CNN and Random Forest Integrations

A Suryavanshi, V Kukreja, DS Rana… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Maize, also known as corn (Zea mays), is a staple food for humans and animals alike and a
key component in numerous economic sectors. While maize is an essential cereal crop, its …

Convolutional Neural Network Modeling for Pest Detection in Corn Crops: Optimization for Monitoring Efficiency

ÓSO Bonilla, AMR Duke - 2024 9th International Conference …, 2024 - ieeexplore.ieee.org
This project aims to develop automated techniques for early detection of pests in maize
crops using computer vision and deep learning. Early detection of pests is key to crop …

Combination of extraction features in detecting disease in corn stalks using gradient boosting method

N Ansori, A Rachmad, EMS Rochman - AIP Conference Proceedings, 2024 - pubs.aip.org
Corn is one of the essential staple crops. It is a plant for many communities around the
world. Since it plays a crucial role in global food security such as human survival, therefore …

Corn Leaf Disease Identification via Transfer Learning: A Comprehensive Web-Based Solution

P Goswami, A Al Safi, ANM Sakib, T Datta - International Conference on …, 2023 - Springer
Effective crop disease prevention is essential to ensure global food security and early
disease detection is a vital part of this protection. Traditional techniques of identifying …