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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Bibliographic Details
Main Authors: 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.
Format: Preprint
Language:Inglés
Published: SSRN 2023
Subjects:
Online Access:https://hdl.handle.net/10568/138777

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