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Published in 2018 at "Advanced Materials Interfaces"
DOI: 10.1002/admi.201701245
Abstract: DOI: 10.1002/admi.201701245 exhibit bidirectionally anisotropic sliding property to lead water droplets to slide in the longitudinal direction rather than the perpendicular direction, which gives rice more opportunities to survive in arid environments.[2] The unidirectionally anisotropic…
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Keywords:
sliding superhydrophobic;
anisotropic sliding;
tridirectionally anisotropic;
surface ... See more keywords
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Published in 2025 at "Journal of the Saudi Society of Agricultural Sciences"
DOI: 10.1007/s44447-025-00007-w
Abstract: Rice leaf diseases represent a major hazard to rice production worldwide, affecting the output, integrity, and nutritional value of the crop. Conventional methods are time-consuming, costly, and often inaccessible to smallholder farmers, necessitating scalable and…
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Keywords:
disease;
severity;
rice leaf;
vision transformers ... See more keywords
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Published in 2017 at "Journal of insect physiology"
DOI: 10.1016/j.jinsphys.2017.05.004
Abstract: Under ongoing climate warming, both the degree and number of high-temperature events in summer may increase, and behavioural adaptation is an important ecological strategy employed by insects to cope with such events. The rice leaf…
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Keywords:
behavioural adaptation;
heat stress;
rice;
rice leaf ... See more keywords
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Published in 2018 at "Journal of agricultural and food chemistry"
DOI: 10.1021/acs.jafc.8b02619
Abstract: Pesticide spray droplets can damage ecological environments and negatively affect biodiversity if they reach nontarget areas. Effective retention of pesticide droplets on plant surfaces is an important challenge. In this study, a high-speed camera was…
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Keywords:
pesticide;
pesticide solution;
leaf surfaces;
bounce behavior ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06843-8
Abstract: Detecting rice leaf diseases is essential for agricultural stability and crop health. However, the diversity of these diseases, their uneven distribution, and complex field environments create challenges for precise, multi-scale detection. While YOLO object detection…
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Keywords:
detection;
leaf diseases;
lightweight efficient;
rice leaf ... See more keywords
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Published in 2024 at "Australian Journal of Electrical and Electronics Engineering"
DOI: 10.1080/1448837x.2024.2413226
Abstract: ABSTRACT Rice is considered as a chief food in most of the areas across India, simultaneously rice plants are infected by diverse diseases strongly, which causes vital losses in the agricultural field. So, earlier and…
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Keywords:
classification;
disease;
rice;
search algorithm ... See more keywords
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Published in 2022 at "Annals of botany"
DOI: 10.1093/aob/mcac133
Abstract: BACKGROUND AND AIMS The surface area of mesophyll cells (Smes) and chloroplasts (Sc) facing the intercellular airspace (IAS) are important parameters for estimating photosynthetic activity from leaf anatomy. Although the Smes and Sc are estimated…
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Keywords:
estimation;
leaf tissue;
rice leaf;
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Published in 2024 at "Journal of Phytopathology"
DOI: 10.1111/jph.13411
Abstract: For millions of people worldwide, rice is one of the main food crops. Nevertheless, while being grown, rice is susceptible to many diseases. Most rice plant diseases are influenced by biotic and abiotic factors, including…
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Keywords:
rice;
rice leaf;
leaf disease;
classification ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.1008819
Abstract: In view of the problem that manual selection of hyperparameters may lead to low performance and large consumption of manpower cost of the convolutional neural network (CNN), this paper proposes a nonlinear convergence factor and…
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Keywords:
leaf diseases;
woacw simplenet;
rice leaf;
leaf ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.879668
Abstract: Leaf blast is a disease of rice leaves caused by the Pyricularia oryzae. It is considered a significant disease is affecting rice yield and quality and causing economic losses to food worldwide. Early detection of…
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Keywords:
classification;
disease;
leaf blast;
rice leaf ... See more keywords
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Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.922809
Abstract: Rice is a necessity for billions of people in the world, and rice disease control has been a major focus of research in the agricultural field. In this study, a new attention-enhanced DenseNet neural network…
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Keywords:
neural network;
rice leaf;
rice;
model ... See more keywords