[HTML][HTML] A review of machine learning techniques for identifying weeds in corn

A Venkataraju, D Arumugam, C Stepan, R Kiran… - Smart Agricultural …, 2023 - Elsevier
Weeds pose a major challenge in achieving high yield production in corn. The use of
herbicides although effective can be expensive and their excessive use poses ecological …

Image quality assessment for foliar disease identification (AgroPath)

N Ahmed, HMS Asif, G Saleem, MU Younus - arXiv preprint arXiv …, 2022 - arxiv.org
Crop diseases are a major threat to food security and their rapid identification is important to
prevent yield loss. Swift identification of these diseases are difficult due to the lack of …

Estimating the size of unerupted teeth: Moyers vs deep learning

H Camcı, F Salmanpour - American Journal of Orthodontics and Dentofacial …, 2022 - Elsevier
Introduction This study aimed to design a deep learning (DL) system for estimating the sum
of the mesiodistal widths (MDWs) of unerupted mandibular canines and premolars in the …

Automated approaches for the early stage distinguishing of Palmer amaranth from waterhemp

A Venkataraju, D Arumugam, R Kiran… - Frontiers in Agronomy, 2024 - frontiersin.org
Palmer amaranth and waterhemp are two invasive pigweed species, which have become
most troublesome to crops, especially corn and soybean. Among these two weed species …

Automatic Differentiation Between Coriander and Parsley Using MobileNetV2

I Páez, J Arévalo, M Martinez, M Molina… - … Conference on Applied …, 2024 - Springer
Ecuadorian cuisine is very varied, with typical dishes from various regions often using fresh
herbs. Among them, coriander and parsley are frequently used but often confused because …

Automatic Identification of Forest Areas in the “Carolina” Park Using ResNet50, EfficientNetB0 and VGG16: A Case Study

J Guapaz, JP Jervis, D Haro, J Padilla… - … Conference on Applied …, 2024 - Springer
This study explores the challenges of identifying forest areas in the “Carolina” Park in Quito,
Ecuador, using Convolutional Neural Networks (CNN) and aerial imagery to support …

Assessment of Fungal Disease Severity in Tomato Leaves Using Convolutional Neural Networks

C Nyasulu, A Diattara, A Traore, C Ba… - Available at SSRN … - papers.ssrn.com
Tomato diseases are a notable threat to the food supply, and managing their severity on
time is a significant challenge. Therefore, it is crucial to develop cutting-edge technologies …