Categories

• Artificial Intelligence and Image Processing
• Other Environmental Sciences
• Physical Geography and Environmental Geoscience
• Crop and Pasture Production
• Other Earth Sciences
• Earth Sciences
• Agricultural and Veterinary Sciences
• Plant Production and Plant Primary Products
• Information and Computing Sciences
• Environmental Sciences

Keywords

crop yield estimates data assimilation data limitation earth observation process-based crop models

Time coverage

1 January 2011 - 31 July 2021

Licence

CC0

by Luleka Dlamini, Jos van Dam, Olivier Crespo , Lammert Kooistra

We conducted a systematic review of research on data assimilation and summarized how its application varies by country, crop, and farming systems. In addition, we highlight the implications of using process-based crop models (PBCMs) and data assimilation in small-scale farming systems. Using a strict search term, we searched the Scopus and Web of Science databases and found 497 potential publications. After screening for relevance using predefined inclusion and exclusion criteria, 123 publications were included in the final review and are shared in this data.

History

Publisher

4TU.ResearchData

Format

Excel spreadsheet

Associated peer-reviewed publication

A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems

Derived from

• Web of Science and Scopus

Funding

• NRF-NUFFIC Doctoral Scholarship [more info...] National Research Foundation South Africa

Organizations

University of Cape Town, Wageningen University & Research