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Plant disease detection and classification by deep learning—a review
L Li, S Zhang, B Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning is a branch of artificial intelligence. In recent years, with the advantages of
automatic learning and feature extraction, it has been widely concerned by academic and …
automatic learning and feature extraction, it has been widely concerned by academic and …
Ensuring agricultural sustainability through remote sensing in the era of agriculture 5.0
Timely and reliable information about crop management, production, and yield is considered
of great utility by stakeholders (eg, national and international authorities, farmers …
of great utility by stakeholders (eg, national and international authorities, farmers …
[HTML][HTML] Artificial intelligence-based robust hybrid algorithm design and implementation for real-time detection of plant diseases in agricultural environments
Simple Summary Plant disease, defined as an abnormal condition that disrupts the normal
growth of the plant, is one of the main causes of economic losses in the agricultural industry …
growth of the plant, is one of the main causes of economic losses in the agricultural industry …
[HTML][HTML] Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning
Plant diseases often reduce crop yield and product quality; therefore, plant disease
diagnosis plays a vital role in farmers' management decisions. Visual crop inspections by …
diagnosis plays a vital role in farmers' management decisions. Visual crop inspections by …
Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features
G Wu, Y Fang, Q Jiang, M Cui, N Li, Y Ou, Z Diao… - … and Electronics in …, 2023 - Elsevier
Gray mold is a devastating disease during the growth of strawberries, which markedly affects
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …
Early detection of plant viral disease using hyperspectral imaging and deep learning
C Nguyen, V Sagan, M Maimaitiyiming… - Sensors, 2021 - mdpi.com
Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
Intelligent plant disease diagnosis using convolutional neural network: a review
In recent times use of different technologies for intelligent crop production is growing. To
increase the production of crops, diagnosing a plant disease is very important. Plant …
increase the production of crops, diagnosing a plant disease is very important. Plant …
[HTML][HTML] Deep learning techniques for hyperspectral image analysis in agriculture: A review
In recent years, there has been a growing emphasis on assessing and ensuring the quality
of horticultural and agricultural produce. Traditional methods involving field measurements …
of horticultural and agricultural produce. Traditional methods involving field measurements …
Present and future scopes and challenges of plant pest and disease (P&D) monitoring: Remote sensing, image processing, and artificial intelligence perspectives
Since the dawn of agriculture, farmers have been at the stake of dealing with pests and
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …
Proximal hyperspectral sensing of abiotic stresses in plants
Recent attempts, advances and challenges, as well as future perspectives regarding the
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …