Výsledky vyhledávání - "Abhishek Gowda"

Akademický článek

Genetics, genomics, and breeding of black gram [Vigna mungo (L.) Hepper]

Autor: Ramakrishnan M. Nair, Sunil Chaudhari, Nagamallika Devi, Aparna Shivanna, Abhishek Gowda, Venkata N. Boddepalli, Hansaraj Pradhan, Roland Schafleitner, Souframanien Jegadeesan, Prakit Somta

Publikováno v: Frontiers in Plant Science, Vol 14 (2024)

Black gram [Vigna mungo (L.) Hepper] is a highly nutritious grain legume crop, mainly grown in South and Southeast Asia, with the largest area in India, where the crop is challenged by several biotic and abiotic stresses leading to significant yield

Externí odkaz: https://doaj.org/article/0d768423b0d04d5a94817d694abf5d95

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Akademický článek

Nematicidal potential of plant growth-promoting rhizobacteria against Meloidogyne incognita infesting tomato under protected cultivation

Autor: A. P. Abhishek Gowda, Pankaj, Dinesh Singh, Awani Kumar Singh, R. Sowmya

Publikováno v: Egyptian Journal of Biological Pest Control, Vol 32, Iss 1, Pp 1-13 (2022)

Abstract Background In the protected cultivation of tomato (Solanum lycopersicum L.) crop, the severity of root-knot nematode, Meloidogyne incognita, incidence is alarming nowadays. To combat this, growers usually prefer using synthetic chemical pest

Externí odkaz: https://doaj.org/article/2ab960d1a0a84ad780d3677660a000ea

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Attendance Management and Student Tracking System Using Face Recognition

Autor: Amith D V, V, Chandana, Krupesha D, Keshava B, Abhishek Gowda S

A project employing machine learning to track student attendance in schools is the attendance management and student tracking system using facial recognition. Each student's face is captured by a camera as they enter the classroom, and the system com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d672c88d2142a7da5f2af3d4abbb7df

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Akademický článek

Certain Investigations of prediction on Stock trend using various Optimization Techniques.

Autor: S., Abhishek Gowda, Thillairasu, N.

Publikováno v: Journal of Advanced Zoology; 2023 Supplement, Vol. 44, p1070-1078, 9p

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Traffic Prediction for Intelligent Transportation System using Machine Learning

Autor: null Abhishek Gowda K, null Karthik B S, null Mr. Venkatesh, null Mrs. Vidya

Publikováno v: International Journal of Advanced Research in Science, Communication and Technology. :594-599

This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether it’s traffic signals, accidents, rallies, even repairing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e757cb4698dd44eeb7dd40f83ed12a8b
https://doi.org/10.48175/ijarsct-2935

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