| Bottlenecks in Nigeria's fresh food supply chain: What is the way forward? D Onwude, T Motmans, K Shoji, R Evangelista, J Gajardo, D Odion, ... Trends in Food Science & Technology, 2023 | 5 | 2023 |
| A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain D Odion, K Shoji, R Evangelista, J Gajardo, T Motmans, T Defraeye, ... MethodsX 10, 102047, 2023 | 3 | 2023 |
| Increasing Accessibility and Usability of Open-Source Data through a Web Map for Better Decision-Making in India’s Cold Chain of Fresh Produce K Shoji, R Evangelista, J Gajardo, T Motmans, T Defraeye https://doi.org/10.5281/zenodo.6639009, 2022 | 2 | 2022 |
| Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region D Li, J Gajardo, M Volpi, T Defraeye Remote Sensing Applications: Society and Environment 32, 101057, 2023 | 1 | 2023 |
| Country-Scale Cropland Mapping in Data-Scarce Settings Using Deep Learning: A Case Study of Nigeria J Gajardo, M Volpi, D Onwude, T Defraeye arXiv, 2023 | | 2023 |
| Towards improving farmers livelihood in Nigeria using food price forecasting D Odion, J Gajardo, T Defraeye, T Motmans, K Shoji, R Evangelista, ... Engineering Archive, 2023 | | 2023 |
| Neural controlled differential equations for crop classification J Gajardo | | 2021 |
| Neural controlled differential equations for crop classification J Gajardo Castillo | | 2021 |
Thijs DefraeyeEmpa (Swiss Federal Labs)Verified email at empa.ch
