Results 81 to 90 of about 658 (166)

Geographic Distribution of Tungro Virus Disease and Its Vectors in India

, 1977
This article 'Geographic Distribution of Tungro Virus Disease and Its Vectors in India' 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
Anjaneyulu, A., Chakrabarti, N. K.
openaire   +2 more sources

A review on Machine Learning Approaches for Plant Disease Diagnosis

Majlesi Journal of Electrical Engineering
In recent years, the identification and classification of plant and crop diseases have significantly increased due to the use of machine learning (ML) algorithms.
Vijayan Subramanian, Chiranji Lal Chowdhary   +1 more
doaj   +1 more source

Diagnosis of Paddy Diseases Using Pre-Trained Architectures and a Proposed Enhanced EfficientNetB3 Model

Journal of Agricultural Sciences
Rice is an important crop in India and is often affected by pests and diseases, which can lead to a significant drop in production. This research investigates advanced deep learning approaches for accurate paddy disease diagnosis, focusing on comparing ...
B Johnson, T Chandrakumar
doaj   +1 more source

Seed Sprout Extracts for Control of Rice Tungro Disease (RTD)

, 1992
This article 'Seed Sprout Extracts for Control of Rice Tungro Disease (RTD)' 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 ...
Narayanasamy, P., Viswanathan, R.
openaire   +2 more sources

Geographical Distribution of Varieties Resistant to Rice Tungro Disease (RTD)

, 1993
IRRI publication.
Cabunagan, R. C., Koganezawa, H.
openaire   +1 more source

Rice disease classification using feed-forward neural network: Comparative analysis between hybrid and single feature extraction algorithms

Franklin Open
Rice diseases significantly reduce crop productivity and pose a serious threat to global food security. Early and accurate identification of rice leaf diseases is therefore essential to enable timely intervention and effective disease management.
Farida Siddiqi Prity, Mirza Raquib, Abdullah Al Shiam, Md. Maruf Hossain, K.M. Aslam Uddin   +4 more
doaj   +1 more source

Current incidence of tungro disease in West Java and South Sulawesi

IOP Conference Series: Earth and Environmental Science
Abstract Rice tungro bacilliform virus (RTBV) and Rice tungro spherical virus (RTSV) were identified as casual agents of tungro disease. In nature, both RTBV and RTSV are transmitted by an insect vector, green leafhopper (Nephotettix virescens), in a semi-persistent manner.
IAS Pratisno, A Widarti, Y Tiyanto, S Nurulita   +3 more
openaire   +1 more source

Development of an Indirect ELISA and Dot-Blot Assay for Serological Detection of Rice Tungro Disease. [PDF]

Biomed Res Int, 2017
Henry Sum MS, Yee SF, Eng L, Poili E, Lamdin J.   +4 more
europepmc   +1 more source

Early Detection of Plant Disease on Rice (Oryza Sativa) using Convolutional Neural Network (CNN)

Chemical Engineering Transactions
Plants provide and possess many elements that help humans and the whole ecosystem strive and function properly. Plant disease affects food production, the economy, and the health and safety of plants and humans who consume the plants.
Kristine Joyce P Ortiz, Jozhua Kylle R Coritana, Angeline Milaine B Marfil, Princess Czarina A Marilag   +3 more
doaj  

Enhancing green AI through explainable deep learning-based multi-model for automated rice leaf disease classification

Discover Computing
Timely and precise identification of rice leaf ailments is crucial for maintaining the well-being of the crop and achieving optimal output. This study assesses advanced machine learning structures for the automatic recognition of rice leaf diseases by ...
Ruaa A. Al-Falluji, Marwan Ali Albahar
doaj   +1 more source