Bigger data from landscape-scale crop assessment surveys empowers sustainability transitions

Methodological advances for use with large-n datasets hold the promise of transforming the ways that agricultural landscapes are described, understood, and managed. Nevertheless, most countries lack comprehensive characterization data for crop production systems and this constrains the application o...

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Detalles Bibliográficos
Autores principales: McDonald, Andrew J., Malik, Ram K., Ajay, Anurag, Craufurd, Peter Q., Dubey, Shantanu K., Gautam, Udham S., Karki, Saral, Kishore, Avinash, Krupnik, Timothy J., Kumar, Virender, Mkondiwa, Maxwell, Nayak, Hari S., Parihar, Chiter M., Paudel, Gokul, Peramaiyan, Panneer, Pundir, Ajay, Poonia, Shishpal, Samaddar, Arindam, Sherpa, Sonam, Balwinder-Singh, Singh, Sudhanshu, Urfels, Anton, Veettil, Prakashan, Pathak, Himanshu, Singh, Ashok K.
Formato: Preprint
Lenguaje:Inglés
Publicado: SSRN 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/138777

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