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 …

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 …

[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 …

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 …

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 …

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 …

PENGKLASIFIKASI BIBIT KELAPA MENGGUNAKAN ALGORITMA DEEP LEARNING CONVOLUTIONAL NEURAL NETWORK

M Amin, A Bindas - JURNAL PERANGKAT LUNAK, 2024 - ejournal.unisi.ac.id
Penelitian ini bertujuan untuk membangun sistem klasifikasi bibit kelapa menggunakan
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 …