Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions

S Sayyad, S Kumar, A Bongale, P Kamat, S Patil… - IEEE …, 2021 - ieeexplore.ieee.org
An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …

Transformative Role of Artificial Intelligence in Advancing Sustainable Tomato (Solanum lycopersicum) Disease Management for Global Food Security: A …

B Sundararaman, S Jagdev, N Khatri - Sustainability, 2023 - mdpi.com
The growing global population and accompanying increase in food demand has put
pressure on agriculture to produce higher yields in the face of numerous challenges …

Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models

Y Kim, Y Kim - Sustainable Cities and Society, 2022 - Elsevier
The heat increase caused by climate change has worsened the urban heat environment and
damaged human health, which has led to heat-related mortality. One of the most important …

A lightweight Attention-based convolutional neural networks for tomato leaf disease classification

A Bhujel, NE Kim, E Arulmozhi, JK Basak, HT Kim - Agriculture, 2022 - mdpi.com
Plant diseases pose a significant challenge for food production and safety. Therefore, it is
indispensable to correctly identify plant diseases for timely intervention to protect crops from …

Disease detection in tomato leaves via CNN with lightweight architectures implemented in Raspberry Pi 4

V Gonzalez-Huitron, JA León-Borges… - … and Electronics in …, 2021 - Elsevier
Deep learning has made essential contributions to classification and detection tasks applied
to precision agriculture; however, it is vitally important to move towards an adoption of these …

Less is more: Lighter and faster deep neural architecture for tomato leaf disease classification

S Ahmed, MB Hasan, T Ahmed, MRK Sony… - IEEE …, 2022 - ieeexplore.ieee.org
To ensure global food security and the overall profit of stakeholders, the importance of
correctly detecting and classifying plant diseases is paramount. In this connection, the …

A convolution neural network-based seed classification system

Y Gulzar, Y Hamid, AB Soomro, AA Alwan, L Journaux - Symmetry, 2020 - mdpi.com
Over the last few years, the research into agriculture has gained momentum, showing signs
of rapid growth. The latest to appear on the scene is bringing convenience in how …

Tomato leaf disease classification via compact convolutional neural networks with transfer learning and feature selection

O Attallah - Horticulturae, 2023 - mdpi.com
Tomatoes are one of the world's greatest valuable vegetables and are regarded as the
economic pillar of numerous countries. Nevertheless, these harvests remain susceptible to a …

Identification method of vegetable diseases based on transfer learning and attention mechanism

X Zhao, K Li, Y Li, J Ma, L Zhang - Computers and Electronics in Agriculture, 2022 - Elsevier
Artificial Intelligence for disease identification is currently the focus of great research interest.
Nonetheless, the approach has some problems, for example, identification takes a long time …

EfficientNet-B4-Ranger: A novel method for greenhouse cucumber disease recognition under natural complex environment

P Zhang, L Yang, D Li - Computers and Electronics in Agriculture, 2020 - Elsevier
The intelligent identification and classification of greenhouse plant diseases is an important
research object in smart horticulture. In this study, our main task is to find an efficient method …