IET Computer Vision, Volume 19, Issue 1, January/December 2025.Plant diseases are known to cause negative impacts and financial losses which are usually found on plant leaves and detection using traditional methods is a labor‐intensive process. Smart agriculture applications based on computer vision are being developed to detect and control of plant diseases.
Esra Yilmaz +3 more
wiley +1 more source
Reaction of Rice Cultures and Varieties to Rice Tungro Disease
, 1991 This article 'Reaction of Rice Cultures and Varieties to Rice Tungro Disease' 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 ...
Yesuraja, I., Mariappan, V.
openaire +2 more sources
Phenotypic Performance of Ciherang Sub1 Near Isogenic Line as an Adaptive Variety for Flooding Conditions [PDF]
, 2017 Marker assisted back crossing (MABC) is a molecular tool that can help breeders in reducing backcrossed generation. However, effectiveness of this method still needs further approval using actual phenotypic performances.
Hidayatun, N. (Nurul) +3 more
core +2 more sources
GDS‐YOLO: A Rice Diseases Identification Model With Enhanced Feature Extraction Capability
IET Image Processing, Volume 19, Issue 1, January/December 2025.In this study, we select the rice diseases dataset and use YOLOv8n as the base model to construct a rice diseases identification model with enhanced feature extraction capability called GDS‐YOLO. Compared with the YOLOv8n model, the P and mAP50 of GDS‐YOLO increased by 5.4% and 4.1%, respectively, whereas the number of parameters and GFLOPS decreased ...
Yourui Huang +5 more
wiley +1 more source
Comparative study between ELISA and surface plasmon resonance (SPR) for rice tungro disease detection [PDF]
, 2013 Rice tungro disease (tungro) is one of the most damaging diseases of rice in South and Southeast Asia. This disease is caused by dual infections from rice tungro bacilliform virus (RTBV) and rice tungro spherical virus (RTSV).
Adam, Tijjani +7 more
core
Inability of the brown citrus aphid (Toxoptera citricida) to transmit citrus psorosis virus under controlled conditions [PDF]
, 2020 Might Toxoptera citricida (BrCA) be a citrus psorosis virus (CPsV) vector? We examined CPsV transmission by the BrCA throughout two experiments. In experiment 1, 4 CPsV-infected plants bearing BrCA colonies were introduced in separated cages with 12 ...
Bertalmio, Ana +5 more
core
The Plant Journal, Volume 121, Issue 2, January 2025.SUMMARY The requirement of in vitro tissue culture for the delivery of gene editing reagents limits the application of gene editing to commercially relevant varieties of many crop species. To overcome this bottleneck, plant RNA viruses have been deployed as versatile tools for in planta delivery of recombinant RNA.
Can Baysal +4 more
wiley +1 more source
PELATIHAN PENGENDALIAN PENYAKIT TUNGRO DAN BLAS PADA TANAMAN PADI DI SUBAK BASANGKASA
Buletin Udayana Mengabdi, 2015 Training on tungro and blast diseases was held at Subak Basangkasa, Kerobokan village, Badung regency on April 27, 2014. The activities was conducted to educate farmers how to control tungro and blast diseases.
IGRM TEMAJA +4 more
doaj
Determination of fixed-potential selection using chronoamperometry analysis by screen-printed carbon electrode for rice tungro bacilliform virus (RTBV) detection [PDF]
, 2015 This paper describes the analysis for the determination of fixed-potential selection using chronoamperometry technique for the detection of rice tungro bacilliform virus (RTBV).
Abd Aziz, Samsuzana +8 more
core +1 more source
Management Characteristics and Adoption Index of Indigenous Agricultural Practices by Rice Farmers [PDF]
, 2016 The study was conducted in Vellore district of Tamil Nadu, to assess the relationship between Management characteristics of farmers and their adoption of Indigenous Agricultural Practices (IAPs) in Rice cultivation.
Jayakumar, N., Sundaramari, M.
core +2 more sources