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 …
A systematic literature review on plant disease detection: Motivations, classification techniques, datasets, challenges, and future trends
Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming …
global food security. Traditional inspection across different plant fields is time-consuming …
Agricultural plant diseases identification: From traditional approach to deep learning
Plant disease computerization in agriculture areas an important for every country, as the
population rate increases the demand for food supply also increases. Today, the significant …
population rate increases the demand for food supply also increases. Today, the significant …
GoogLeNet based on residual network and attention mechanism identification of rice leaf diseases
L Yang, X Yu, S Zhang, H Long, H Zhang, S Xu… - … and Electronics in …, 2023 - Elsevier
Rice leaf diseases are a major cause of declining rice production and quality. The early
identification and control of rice leaf diseases is critical for maintaining rice quality and …
identification and control of rice leaf diseases is critical for maintaining rice quality and …
Early diagnosis of rice plant disease using machine learning techniques
There is an incredible progress in machine learning applications in the field of agricultural
research. Detection of various diseases, deficiencies, and factors impacting crops' …
research. Detection of various diseases, deficiencies, and factors impacting crops' …
[HTML][HTML] An approach for rice bacterial leaf streak disease segmentation and disease severity estimation
S Chen, K Zhang, Y Zhao, Y Sun, W Ban, Y Chen… - Agriculture, 2021 - mdpi.com
Rice bacterial leaf streak (BLS) is a serious disease in rice leaves and can seriously affect
the quality and quantity of rice growth. Automatic estimation of disease severity is a crucial …
the quality and quantity of rice growth. Automatic estimation of disease severity is a crucial …
[HTML][HTML] A lightweight model for efficient identification of plant diseases and pests based on deep learning
H Guan, C Fu, G Zhang, K Li, P Wang… - Frontiers in Plant …, 2023 - frontiersin.org
Plant diseases and pests have always been major contributors to losses that occur in
agriculture. Currently, the use of deep learning-based convolutional neural network models …
agriculture. Currently, the use of deep learning-based convolutional neural network models …
Stacking ensemble model of deep learning for plant disease recognition
Diverse plant diseases have a major impact on the yield of food crops, and if plant diseases
are not recognized in time, they may spread widely and directly cause losses to crop yield. In …
are not recognized in time, they may spread widely and directly cause losses to crop yield. In …
Vision transformer meets convolutional neural network for plant disease classification
Plant diseases are the primary cause of crop losses globally, which have an impact on the
world economy. To deal with these issues, new agriculture solutions are evolving that …
world economy. To deal with these issues, new agriculture solutions are evolving that …
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …