Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
Optimizing rice plant disease detection with crossover boosted artificial hummingbird algorithm based AX-RetinaNet
SP Sankareshwaran, G Jayaraman… - Environmental …, 2023 - Springer
Rice is the most important cereal food crop in the world, and half of the world's population
uses rice as a staple food for its energy source. The yield production qualities and quantities …
uses rice as a staple food for its energy source. The yield production qualities and quantities …
Deep learning utilization in agriculture: Detection of rice plant diseases using an improved CNN model
Rice is considered one the most important plants globally because it is a source of food for
over half the world's population. Like other plants, rice is susceptible to diseases that may …
over half the world's population. Like other plants, rice is susceptible to diseases that may …
卷积神经网络中的注意力机制综述.
张宸嘉, 朱磊, 俞璐 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
注意力机制因其优秀的效果与即插即用的便利性, 在深度学习任务中得到了越来越广泛的应用.
主要着眼于卷积神经网络, 对卷积网络注意力机制发展过程中的各种主流方法进行介绍 …
主要着眼于卷积神经网络, 对卷积网络注意力机制发展过程中的各种主流方法进行介绍 …
Lightweight dense-scale network (LDSNet) for corn leaf disease identification
W Zeng, H Li, G Hu, D Liang - Computers and Electronics in Agriculture, 2022 - Elsevier
The identification of corn leaf diseases in real scenarios faces important challenges, such as
complex background interference, intra-and inter-class scale changes, and lightweight …
complex background interference, intra-and inter-class scale changes, and lightweight …
Inception convolutional vision transformers for plant disease identification
S Yu, L Xie, Q Huang - Internet of Things, 2023 - Elsevier
Plant disease has a considerable influence on the safety of grain output and quality.
Therefore, it is crucial to detect and diagnose plant diseases. Most plant diseases are …
Therefore, it is crucial to detect and diagnose plant diseases. Most plant diseases are …
A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity
Discrete choice models has been for decades the most used technique to model travel
mode choice, being the multinomial logit (MNL) the most popular model among them …
mode choice, being the multinomial logit (MNL) the most popular model among them …
Effective multi-crop disease detection using pruned complete concatenated deep learning model
RA Arun, S Umamaheswari - Expert Systems with Applications, 2023 - Elsevier
A significant threat to agriculture yield is crop disease. It leads to enormous losses for
farmers and also has an impact economically. Leaves affected by certain diseases will …
farmers and also has an impact economically. Leaves affected by certain diseases will …
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 …
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …
Rice leaf disease identification by residual-distilled transformer
C Zhou, Y Zhong, S Zhou, J Song, W Xiang - Engineering Applications of …, 2023 - Elsevier
As the worldwide planting crop, rice feeds nearly half of the world's population. However, the
continuous spread of diseases is threatening rice production. It is of great practical value to …
continuous spread of diseases is threatening rice production. It is of great practical value to …