Articles with "rice leaf" as a keyword



Bioinspired Fabrication of Bi/Tridirectionally Anisotropic Sliding Superhydrophobic PDMS Surfaces by Femtosecond Laser

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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… read more here.

Keywords: sliding superhydrophobic; anisotropic sliding; tridirectionally anisotropic; surface ... See more keywords

Vision transformers for rice leaf disease detection and severity estimation: a precision agriculture approach

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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… read more here.

Keywords: disease; severity; rice leaf; vision transformers ... See more keywords

Behavioural adaptation of the rice leaf folder Cnaphalocrocis medinalis to short-term heat stress.

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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… read more here.

Keywords: behavioural adaptation; heat stress; rice; rice leaf ... See more keywords

Bounce Behavior and Regulation of Pesticide Solution Droplets on Rice Leaf Surfaces.

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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… read more here.

Keywords: pesticide; pesticide solution; leaf surfaces; bounce behavior ... See more keywords

Enhanced YOLOv8 with lightweight and efficient detection head for for detecting rice leaf diseases

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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… read more here.

Keywords: detection; leaf diseases; lightweight efficient; rice leaf ... See more keywords

FRRSA: Fractional Remora Reptile Search Algorithm-based LeNet for rice leaf disease classification

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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… read more here.

Keywords: classification; disease; rice; search algorithm ... See more keywords

3D reconstruction of rice leaf tissue for proper estimation of surface area of mesophyll cells and chloroplasts facing intercellular airspaces from 2D section images.

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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… read more here.

Keywords: estimation; leaf tissue; rice leaf;

Remora‐CNN: A Novel and Effective Method for Rice Leaf Disease Detection and Classification

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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… read more here.

Keywords: rice; rice leaf; leaf disease; classification ... See more keywords

Image classification and identification for rice leaf diseases based on improved WOACW_SimpleNet

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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… read more here.

Keywords: leaf diseases; woacw simplenet; rice leaf; leaf ... See more keywords

Study on the Classification Method of Rice Leaf Blast Levels Based on Fusion Features and Adaptive-Weight Immune Particle Swarm Optimization Extreme Learning Machine Algorithm

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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… read more here.

Keywords: classification; disease; leaf blast; rice leaf ... See more keywords

A hybrid attention-enhanced DenseNet neural network model based on improved U-Net for rice leaf disease identification

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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… read more here.

Keywords: neural network; rice leaf; rice; model ... See more keywords