Results 11 to 20 of about 4,344,916 (342)

Genetic basis controlling rice plant architecture and its modification for breeding. [PDF]

open access: yesBreed Sci, 2023
The shoot and root system architectures are fundamental for crop productivity. During the history of artificial selection of domestication and post-domestication breeding, the architecture of rice has significantly changed from its wild ancestor to ...
Tanaka W, Yamauchi T, Tsuda K.
europepmc   +2 more sources

Planthopper salivary sheath protein LsSP1 contributes to manipulation of rice plant defenses. [PDF]

open access: yesNat Commun, 2023
Salivary elicitors secreted by herbivorous insects can be perceived by host plants to trigger plant immunity. However, how insects secrete other salivary components to subsequently attenuate the elicitor-induced plant immunity remains poorly understood ...
Huang HJ   +15 more
europepmc   +2 more sources

Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images. [PDF]

open access: yesPlant Phenomics, 2023
Rice plant counting is crucial for many applications in rice production, such as yield estimation, growth diagnosis, disaster loss assessment, etc. Currently, rice counting still heavily relies on tedious and time-consuming manual operation. To alleviate
Bai X   +8 more
europepmc   +2 more sources

Diversity and Taxonomic Distribution of Endophytic Bacterial Community in the Rice Plant and Its Prospective. [PDF]

open access: yesInt J Mol Sci, 2021
Endophytic bacterial communities are beneficial communities for host plants that exist inside the surfaces of plant tissues, and their application improves plant growth.
Ali M   +6 more
europepmc   +2 more sources

Enhanced Sea Horse Optimization with Deep Learning-based Multimodal Fusion Technique for Rice Plant Disease Segmentation and Classification

open access: yesEngineering, Technology & Applied Science Research, 2023
The detection of diseases in rice plants is an essential step in ensuring healthy crop growth and maximizing yields. A real-time and accurate plant disease detection technique can assist in the development of mitigation strategies to ensure food security
D. F. R. Anandhi, S. Sathiamoorthy
semanticscholar   +1 more source

Deep Transfer Learning Based Rice Plant Disease Detection Model

open access: yesIntelligent Automation and Soft Computing, 2022
In agriculture, plant diseases are mainly accountable for reduction in productivity and leads to huge economic loss. Rice is the essential food crop in Asian countries and it gets easily affected by different kinds of diseases.
R. Narmadha   +2 more
semanticscholar   +1 more source

Rice plant disease diagnosing using machine learning techniques: a comprehensive review

open access: yesSN Applied Sciences, 2022
The impact of rice plant diseases has led to a 37% annual drop in rice production. It may happen basically due to the lack of knowledge in identifying and controlling rice plant diseases, but still there isn’t any proper application has been developed ...
G. Udayananda   +2 more
semanticscholar   +1 more source

An Optimal Classification Model for Rice Plant Disease Detection

open access: yesComputers Materials & Continua, 2021
: Internet of Things (IoT) paves a new direction in the domain of smart farmingand precision agriculture. Smart farming is an upgraded version of agriculture which is aimed at improving the cultivation practices and yield to a certain extent.
R. Sowmyalakshmi   +6 more
semanticscholar   +1 more source

Evolution of pathogenicity-associated genes in Rhizoctonia solani AG1-IA by genome duplication and transposon-mediated gene function alterations

open access: yesBMC Biology, 2023
Background Rhizoctonia solani is a polyphagous fungal pathogen that causes diseases in crops. The fungal strains are classified into anastomosis groups (AGs); however, genomic complexity, diversification into the AGs and the evolution of pathogenicity ...
Aleena Francis   +13 more
doaj   +1 more source

Variables Involved in the Planting of Rice in the Rice Husk

open access: yesKey Engineering Materials, 2012
Rice production in Brazil in 2010 was approximately 12,2 million tons, and to reach that amount several planting techniques were used with different strains of rice in different rice-growing areas. Since Rice Husk Ash (RHA) is the pozzolan of vegetable origin most studied by researchers working in the area of pozzolanic materials, the present paper ...
Akasaki, Jorge Luis   +5 more
openaire   +3 more sources

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