subject: participation subject: Agricultural Education
10.4231/P1C7-CV45
Anne Lutomia , Barry Pittendrigh , John Medendorp , Julia Bello-Bravo , 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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