A Deep Learning Data Fusion Approach for Modeling Land use in Smallholder Agriculture Systems-Reference-Cited by-同舟云学术

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A Deep Learning Data Fusion Approach for Modeling Land use in Smallholder Agriculture Systems

Published:2024-07-07 Issue: Volume: Page:4077-4080
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Wooten Margaret¹,Caraballo-Vega Jordan A.¹,Thomas Nathan M.²,Wagner William C.¹,Neigh Christopher S. R.¹,Carroll Mark L.¹,Brown Molly E.³,Diouf Abdoul Aziz⁴,Mbaye Modou⁵,Ndao Babacar⁴,Wessels Konrad⁶,Alemu Woubet¹

Affiliation:

1. NASA Goddard Space Flight Center,Maryland,USA

2. Edge Hill University,Lancashire,UK

3. University of Maryland College Park,Maryland,USA

4. Centre de Suivi Écologique,Dakar,Sénégal

5. Institut Sénégalais de Recherches Agricoles,Thies,Sénégal

6. George Mason University,Virgina,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641952.pdf?arnumber=10641952

Reference20 articles.

1. Agriculture, Food and Jobs in West Africa

2. Rural People’s Reliance on Forests and the Non-Forest Environment in West Africa: Evidence from Ghana and Burkina Faso

3. World Population Prospects 2022 - Probabilistic Population Projections

4. Food security and climate shocks in Senegal: Who and where are the most vulnerable households?

5. Does agricultural intensification pay in the context of structural transformation?

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