A novel deep learning method for detection and classification of plant diseases

W Albattah, M Nawaz, A Javed, M Masood… - Complex & Intelligent …, 2022 - Springer
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …

Revolutionizing crop disease detection with computational deep learning: a comprehensive review

HN Ngugi, AE Ezugwu, AA Akinyelu… - Environmental Monitoring …, 2024 - Springer
Digital image processing has witnessed a significant transformation, owing to the adoption
of deep learning (DL) algorithms, which have proven to be vastly superior to conventional …

Tomato leaf disease classification by exploiting transfer learning and feature concatenation

MSAM Al‐gaashani, F Shang… - IET Image …, 2022 - Wiley Online Library
Tomato is one of the most important vegetables worldwide. It is considered a mainstay of
many countries' economies. However, tomato crops are vulnerable to many diseases that …

Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network

W Albattah, A Javed, M Nawaz, M Masood… - Frontiers in Plant …, 2022 - frontiersin.org
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …

Plant disease detection and classification techniques: a comparative study of the performances

WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

A diverse ensemble classifier for tomato disease recognition

M Astani, M Hasheminejad, M Vaghefi - Computers and Electronics in …, 2022 - Elsevier
Plant health and accurate and timely diagnosis of plant diseases are of great importance for
human health and the economy of the farmers in the world. Therefore, researchers in the …

DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification

S Albahli, M Nawaz - Frontiers in plant science, 2022 - frontiersin.org
Early recognition of tomato plant leaf diseases is mandatory to improve the food yield and
save agriculturalists from costly spray procedures. The correct and timely identification of …

Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification

W Albattah, M Masood, A Javed, M Nawaz… - Complex & Intelligent …, 2023 - Springer
Insect pests are among the most critical factors affecting crops and result in a severe
reduction in food yield. At the same time, early and accurate identification of insect pests can …

Aggregating different scales of attention on feature variants for tomato leaf disease diagnosis from image data: a transformer driven study

S Hossain, M Tanzim Reza, A Chakrabarty, YJ Jung - Sensors, 2023 - mdpi.com
Tomato leaf diseases can incur significant financial damage by having adverse impacts on
crops and, consequently, they are a major concern for tomato growers all over the world …

Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression …

MS Islam, S Sultana, FA Farid, MN Islam, M Rashid… - Sensors, 2022 - mdpi.com
Automatic leaf disease detection techniques are effective for reducing the time-consuming
effort of monitoring large crop farms and early identification of disease symptoms of plant …