Zobrazeno 1 - 10
of 58
pro vyhledávání: '"GANESHKUMAR, C."'
Publikováno v:
Journal of Agribusiness in Developing and Emerging Economies, 2021, Vol. 13, Issue 3, pp. 379-398.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JADEE-07-2020-0140
Publikováno v:
Benchmarking: An International Journal, 2022, Vol. 30, Issue 2, pp. 532-561.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BIJ-04-2021-0189
Publikováno v:
Agri-Food 4.0
Publikováno v:
In Procedia Computer Science 2020 171:1166-1173
Autor:
Ganeshkumar, C.1 (AUTHOR) gcganeshkumar@gmail.com, Meenakshi Sundaresan, M.1 (AUTHOR) meenakshisundaresan60@gmail.com
Publikováno v:
International Journal of Innovation & Technology Management. Feb2024, Vol. 21 Issue 1, p1-23. 23p.
Publikováno v:
International Journal of Global Business & Competitiveness; Dec2023, Vol. 18 Issue 2, p162-174, 13p
Publikováno v:
Applying Drone Technologies and Robotics for Agricultural Sustainability ISBN: 9781668464137
The study examines the use of drone technology in agriculture to predict the occurrence of pest and disease outbreaks. The purpose of the study is to comprehend competition analyses and determine the best entry tactics for the aerial imaging and advi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c95fbecf0c38d85dab3a0895a68f0da
https://doi.org/10.4018/978-1-6684-6413-7.ch004
https://doi.org/10.4018/978-1-6684-6413-7.ch004
Publikováno v:
International Journal of Applied Metaheuristic Computing. 10:55-92
Genetic algorithms (GAs) are a population-based meta-heuristic global optimization technique for dealing with complex problems with a very large search space. The population initialization is a crucial task in GAs because it plays a vital role in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0f86ed5bd491aa19a9c5f745fe1df96
https://doi.org/10.4018/ijamc.2019040103
https://doi.org/10.4018/ijamc.2019040103
Genetic algorithms (GAs) are a population-based meta-heuristic global optimization technique for dealing with complex problems with a very large search space. The population initialization is a crucial task in GAs because it plays a vital role in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2da53c1d11deb02937fbcb0620b56fc0
https://doi.org/10.4018/978-1-7998-8048-6.ch053
https://doi.org/10.4018/978-1-7998-8048-6.ch053
Autor:
Sengottuvel, E. P.1 epsvel@gmail.com, Ganeshkumar, C.2 gcganeshkumar@gmail.com
Publikováno v:
IUP Journal of Applied Economics. Apr2018, Vol. 17 Issue 2, p80-97. 18p.