Classification of typical pests and diseases of Rice based on the ECA attention mechanism
H Ni, Z Shi, S Karungaru, S Lv, X Li, X Wang, J Zhang - Agriculture, 2023 - mdpi.com
Rice, a staple food crop worldwide, is pivotal in agricultural productivity and public health.
Automatic classification of typical rice pests and diseases is crucial for optimizing rice yield …
Automatic classification of typical rice pests and diseases is crucial for optimizing rice yield …
Develo** precision agriculture using data augmentation framework for automatic identification of castor insect pests
Nitin, SB Gupta, RK Yadav, F Bovand… - Frontiers in Plant …, 2023 - frontiersin.org
Castor (Ricinus communis L.) is an important nonedible industrial crop that produces oil,
which is used in the production of medicines, lubricants, and other products. However, the …
which is used in the production of medicines, lubricants, and other products. However, the …
[PDF][PDF] A Review on the Application of Deep LearningMethods in Detection and Identification of Rice Diseases and Pests.
X Yu, J Zheng - Computers, Materials & Continua, 2024 - cdn.techscience.cn
In rice production, the prevention and management of pests and diseases have always
received special attention. Traditional methods require human experts, which is costly and …
received special attention. Traditional methods require human experts, which is costly and …
Evaluation of Rice Degree of Milling Based on Bayesian Optimization and Multi-Scale Residual Model
W Chen, W Li, Y Wang - Foods, 2022 - mdpi.com
Traditional machine learning-based methods for the detection of rice degree of milling
(DOM) that are not comprehensive in feature extraction and have low recognition rates fail to …
(DOM) that are not comprehensive in feature extraction and have low recognition rates fail to …
Pest recognition based on multi-image feature localization and adaptive filtering fusion
Y Chen, M Chen, M Guo, J Wang… - Frontiers in Plant Science, 2023 - frontiersin.org
Accurate recognition of pest categories is crucial for effective pest control. Due to issues
such as the large variation in pest appearance, low data quality, and complex real-world …
such as the large variation in pest appearance, low data quality, and complex real-world …
VGG16-AttnNet: a banana leaf lesion recognition model combining VGG16 and self-attention mechanism
Y Huang, H Chen, J Hong, Z Zhao… - 2024 5th International …, 2024 - ieeexplore.ieee.org
As one of the essential fruits worldwide, bananas have leaf diseases that seriously affect
yield and quality. Therefore, a model that can accurately recognize these lesions is crucial …
yield and quality. Therefore, a model that can accurately recognize these lesions is crucial …
PENGKLASIFIKASI BIBIT KELAPA MENGGUNAKAN ALGORITMA DEEP LEARNING CONVOLUTIONAL NEURAL NETWORK
Penelitian ini bertujuan untuk membangun sistem klasifikasi bibit kelapa menggunakan
CNN, target khususnya yaitu menyusun sistem klasifikasi bibit kelapa menggunakan CNN …
CNN, target khususnya yaitu menyusun sistem klasifikasi bibit kelapa menggunakan CNN …
Performance Comparison of VGG16, Mobilenet, And Xception Model Architecture in Rice Plant Leaf Identification
RRA Siregar, NM Safiera, A Haris - 2025 - jurnalitpln.id
Rice is one of the world's most important staple foods. Rice is a staple food in most regions
of the world, especially in Indonesia. Rice plant nutrition is one of the most important things …
of the world, especially in Indonesia. Rice plant nutrition is one of the most important things …