Exploring the determinants of biopesticide adoption among farmers using machine learning: a study from Bihar, India

The adoption of sustainable agricultural practices remains a critical challenge in developing countries. This study moves beyond traditional linear models to employ a multi-faceted machine learning (ML) approach, aiming to predict biopesticide adoption and to uncover the most influential behavioural...

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Detalhes bibliográficos

Principais autores:	Suraj Kumar, Debasruti Bhattacharya, Mamoni Banerjee
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2026-12-01
coleção:	International Journal of Agricultural Sustainability
Assuntos:	Biopesticide adoption intention machine Learning feature importance
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/14735903.2026.2695471
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