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Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases
Applied Sciences, 2020 Tomato plants are highly affected by diverse diseases. A timely and accurate diagnosis plays an important role to prevent the quality of crops. Recently, deep learning (DL), specifically convolutional neural networks (CNNs), have achieved extraordinary ...
Valeria Maeda-Gutiérrez +9 more
semanticscholar +1 more source
Image-Based Detection of Plant Diseases: From Classical Machine Learning to Deep Learning Journey
Wireless Communications and Mobile Computing, 2021 Plant disease automation in agriculture science is the primary concern for every country, as the food demand is increasing at a fast rate due to an increase in population.
Rehanullah Khan +3 more
semanticscholar +1 more source
Frontiers in Plant Science, 2018 A fundamental problem that confronts deep neural networks is the requirement of a large amount of data for a system to be efficient in complex applications.
Alvaro F. Fuentes +4 more
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Frontiers in Plant Science, 2022 A growing body of evidence suggests that Raman spectroscopy (RS) can be used for diagnostics of plant biotic and abiotic stresses. RS can be also utilized for identification of plant species and their varieties, as well as assessment of the nutritional ...
Charles Farber +3 more
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Italian National Conference on Sensors, 2020 Increasing grain production is essential to those areas where food is scarce. Increasing grain production by controlling crop diseases and pests in time should be effective. To construct video detection system for plant diseases and pests, and to build a
Dengshan Li +8 more
semanticscholar +1 more source
Bacteriophages and Bacterial Plant Diseases [PDF]
Frontiers in Microbiology, 2017 Losses in crop yields due to disease need to be reduced in order to meet increasing global food demands associated with growth in the human population. There is a well-recognized need to develop new environmentally friendly control strategies to combat bacterial crop disease.
Buttimer, Colin +5 more
openaire +5 more sources
Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion
Plants, 2020 Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it has gradually become the leading approach in many fields. It is currently playing a vital role in the early detection and classification of plant diseases.
Reem Ibrahim Hasan +2 more
semanticscholar +1 more source
The Pathobiome in Animal and Plant Diseases. [PDF]
Trends in Ecology & Evolution, 2019 A growing awareness of the diversity and ubiquity of microbes (eukaryotes, prokaryotes, and viruses) associated with larger 'host' organisms has led to the realisation that many diseases thought to be caused by one primary agent are the result of interactions between multiple taxa and the host.
D. Bass +4 more
semanticscholar +6 more sources