Results 51 to 60 of about 824 (172)

SwiftM: A Novel Botanical Knowledge Distillation Framework for Biology‐Informed Plant Disease Recognition

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
Current plant disease detection systems often overlook botanical expertise, limiting diagnostic accuracy. We propose SwiftM, a novel framework that integrates plant anatomical knowledge into deep learning through botanical knowledge distillation, structure‐aware graph representation and sparse attention over botanical graphs.
Sumaya Mustofa, Yousuf Rayhan Emon
wiley   +1 more source

Suppression of Two Tungro Viruses in Rice by Separable Traits Originating from Cultivar Utri Merah

open access: yesMolecular Plant-Microbe Interactions, 2009
Rice tungro disease (RTD) is caused by Rice tungro spherical virus (RTSV) and Rice tungro bacilliform virus (RTBV) transmitted by green leafhoppers. Rice cv. Utri Merah is highly resistant to RTD. To define the RTD resistance of Utri Merah, near-isogenic
Jaymee R. Encabo   +10 more
doaj   +1 more source

Presence of Rice Tungro Bacilliform Virus (RTBV) in Xylem Cells of Tungro-Infected Rice

open access: yes, 1991
This article 'Presence of Rice Tungro Bacilliform Virus (RTBV) in Xylem Cells of Tungro-Infected Rice' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of ...
Sta. Cruz, F. C., Koganezawa, H.
openaire   +2 more sources

Adaptive Attention‐Enhanced Multiscale Vision Transformers for Real‐Time Leaf Disease Detection in Smart Agriculture

open access: yesInternational Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Plant diseases represent a major challenge to global agricultural productivity and require precise and rapid diagnostic tools for effective intervention. This study presents an adaptive attention‐enhanced multiscale vision transformer (MS‐ViT) framework for plant disease classification.
Xuan Yang   +6 more
wiley   +1 more source

Mathematical Models for the Prevention and Management of Cereal Crop Diseases: A Systematic Review

open access: yesJournal of Applied Mathematics, Volume 2026, Issue 1, 2026.
Mathematical modeling plays an important role in understanding and managing diseases that threaten cereal crop production worldwide. This systematic review, conducted in accordance with PRISMA guidelines, examines mathematical models developed for the prevention and management of diseases affecting maize, rice, wheat, barley, and sorghum.
Furaha Michael Chuma, Deli Zhang
wiley   +1 more source

Neural Network‐Based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature‐Based Model and Direct Imaging Model

open access: yesFood Science &Nutrition, Volume 13, Issue 12, December 2025.
This study proposes a NN‐based framework for automated recognition and classification of rice diseases using leaf imagery. Feature extraction techniques such as texture analysis, GLCM, GLDM, FFT, and DWT extract critical image characteristics, while dimensionality reduction (PCA, KPCA, Sparse AE, Stacked AE) and feature selection (ANOVA F‐measure, Chi ...
Farida Siddiqi Prity   +5 more
wiley   +1 more source

KELIMPAHAN WERENG HIJAU, INSIDEN PENYAKIT TUNGRO, DAN EFEKTIVITAS SUMBER INOKULUM PADA KETINGGIAN TEMPAT BERBEDA

open access: yesJurnal Ilmu Pertanian Indonesia, 2014
Rice Tungro disease is one of biotic constraint that can reduce yield potential of rice. Tungro disease viruses are transmitted from one plant to another by leafhoppers that feed on tungro-infected plants.
Dini Yuliani
doaj  

Varietal Resistance to Tungro

open access: yes, 1980
This article 'Varietal Resistance to Tungro' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping ...
openaire   +1 more source

Hybrid AI Model With CNNs and Vision Transformers for Precision Pest Classification in Crops

open access: yesFood Science &Nutrition, Volume 13, Issue 11, November 2025.
This study proposes a hybrid deep learning model integrating CNNs, attention mechanisms, and Vision Transformers for accurate classification of five major rice crop pests. The model captures both fine‐grained local features and global spatial relationships, achieving a high accuracy of 95% on an augmented dataset.
Neha Sharma   +4 more
wiley   +1 more source

A New Symptom of Tungro in Rice

open access: yes, 1992
This article 'A New Symptom of Tungro in Rice' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping ...
Kobayashi, N.   +3 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy