subject: Entomology subject: Bangladesh type: dataset date: 2022
10.4231/P1C7-CV45
Anne Lutomia 0000-0001-6029-8783 , Barry Pittendrigh 0000-0002-7784-0257 , John Medendorp 0000-0003-2527-7324 , Julia Bello-Bravo 0000-0002-1710-4725 , Md. Harun-ar-Rashid , Peter Reeves , Timothy Krupnik , Victor Giancarlo Sal y Rosas Celi
03/25/2022
The study concludes with a discussion of ways to mitigate gender exclusion in extension by data collection processes, incorporating machine learning to understand gender preferences, and applying optimization theory to increase total participation
Agricultural Education Bangladesh Entomology extension training participation
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