A novel framework for image-based plant disease detection using hybrid deep learning approach

A Chug, A Bhatia, AP Singh, D Singh - Soft Computing, 2023 - Springer
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …

Plant disease detection using AI based VGG-16 model

AA Alatawi, SM Alomani, NI Alhawiti… - International Journal of …, 2022 - search.proquest.com
Agriculture and modern farming is one of the fields where IoT and automation can have a
great impact. Maintaining healthy plants and monitoring their environment in order to identify …

[HTML][HTML] Algorithms and models for automatic detection and classification of diseases and pests in agricultural crops: A systematic review

M Francisco, F Ribeiro, J Metrolho, R Dionisio - Applied Sciences, 2023 - mdpi.com
Plant diseases and pests significantly influence food production and the productivity and
economic profitability of agricultural crops. This has led to great interest in developing …

Maize leaf disease identification using deep transfer convolutional neural networks

Z Ma, Y Wang, T Zhang, H Wang, Y Jia, R Gao… - International Journal of …, 2022 - ijabe.org
Gray leaf spot, common rust, and northern leaf blight are three common maize leaf diseases
that cause great economic losses to the worldwide maize industry. Timely and accurate …

[HTML][HTML] Feasibility of using computer vision and artificial intelligence techniques in detection of some apple pests and diseases

Y Abbaspour-Gilandeh, A Aghabara, M Davari… - Applied Sciences, 2022 - mdpi.com
There are many methods to detect plant pests and diseases, but they are primarily time-
consuming and costly. Computer vision techniques can recognize the pest-and disease …

[HTML][HTML] Evaluation of decision fusions for classifying karst wetland vegetation using one-class and multi-class CNN models with high-resolution UAV images

Y Li, T Deng, B Fu, Z Lao, W Yang, H He, D Fan, W He… - Remote Sensing, 2022 - mdpi.com
Combining deep learning and UAV images to map wetland vegetation distribution has
received increasing attention from researchers. However, it is difficult for one multi …

Deep Learning Approaches for Plant Diseases Identification and Classification: A Comprehensive Review

A Aissaoui, I Aloui, S Boudibi… - … on Image and …, 2024 - ieeexplore.ieee.org
Plant diseases have a significant impact on agricultural productivity and global food security.
Accurate and timely identification of plant diseases is crucial for effective disease …

[HTML][HTML] Standalone Edge AI-based solution for Tomato Diseases Detection

Y Majeed, MO Ojo, A Zahid - Smart Agricultural Technology, 2024 - Elsevier
Tomato yield is significantly affected by diseases, which are a continuous challenge for its
production and pose threats to its global supply chain. Automatic and early detection of …

[HTML][HTML] Maize Leaf Disease Recognition Based on Improved Convolutional Neural Network ShuffleNetV2

H Zhou, Y Su, J Chen, J Li, L Ma, X Liu, S Lu, Q Wu - Plants, 2024 - mdpi.com
The occurrence of maize diseases is frequent but challenging to manage. Traditional
identification methods have low accuracy and complex model structures with numerous …

[HTML][HTML] A Study on Wetland Cover Map Formulation and Evaluation Using Unmanned Aerial Vehicle High-Resolution Images

TY Lim, J Kim, W Kim, W Song - Drones, 2023 - mdpi.com
Wetlands possess significant ecological value and play a crucial role in the environment.
Recent advancements in remote exploration technology have enabled a quantitative …