Review of the state of the art of deep learning for plant diseases: A broad analysis and discussion

RI Hasan, SM Yusuf, L Alzubaidi - Plants, 2020 - mdpi.com
Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …

Automatic identification of diseases in grains crops through computational approaches: A review

R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …

Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

MI Sharif, JP Li, MA Khan, MA Saleem - Pattern Recognition Letters, 2020 - Elsevier
Glioma is a kind of brain tumor that can arise at a distinct location along with dissimilar
appearance and size. The high-grade glioma (HGG) is a serious kind of cancer when …

Food quality inspection and grading using efficient image segmentation and machine learning‐based system

V Hemamalini, S Rajarajeswari… - Journal of Food …, 2022 - Wiley Online Library
One of the most critical aspects of quality assurance is inspecting products for defects before
they are sold or shipped. A good product is more vital than having more of the same item for …

Citrus disease detection and classification using end-to-end anchor-based deep learning model

SF Syed-Ab-Rahman, MH Hesamian, M Prasad - Applied Intelligence, 2022 - Springer
Plant diseases are the primary issue that reduces agricultural yield and production, causing
significant economic losses and instability in the food supply. In plants, citrus is a fruit crop of …

Computer-vision classification of corn seed varieties using deep convolutional neural network

S Javanmardi, SHM Ashtiani, FJ Verbeek… - Journal of Stored …, 2021 - Elsevier
Automated classification of seed varieties is of paramount importance for seed producers to
maintain the purity of a variety and crop yield. Traditional approaches based on computer …

MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks

H Sun, H Xu, B Liu, D He, J He, H Zhang… - … and Electronics in …, 2021 - Elsevier
Abstract Alternaria blotch, Brown spot, Mosaic, Grey spot, and Rust are 5 common apple leaf
diseases that severely impact apple production and quality. At present, although many CNN …

Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart …

ZU Rehman, MA Khan, F Ahmed… - IET Image …, 2021 - Wiley Online Library
Effective recognition of fruit leaf diseases has a substantial impact on agro‐based
economies. Several fruit diseases exist that badly impact the yield and quality of fruits. A …

Grape disease image classification based on lightweight convolution neural networks and channelwise attention

Z Tang, J Yang, Z Li, F Qi - Computers and Electronics in Agriculture, 2020 - Elsevier
In this paper, a lightweight convolution neural network model is proposed to diagnose grape
diseases, including black rot, black measles and leaf blight. Focusing on small and low …

Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

MA Khan, M Sharif, T Akram, M Raza, T Saba… - Applied Soft …, 2020 - Elsevier
Human action recognition (HAR) has gained much attention in the last few years due to its
enormous applications including human activity monitoring, robotics, visual surveillance, to …