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{
            
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  "acknowledgement": "The authors gratefully acknowledge the financial 
2
  "acknowledgement": "The authors gratefully acknowledge the financial 
            
3
support for this research by the European Union (EU), project 'Robusta 
3
support for this research by the European Union (EU), project 'Robusta 
            
4
coffee agroforestry to adapt and\u00a0mitigate climate change in 
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coffee agroforestry to adapt and\u00a0mitigate climate change in 
            
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Uganda' GCCA+-Global Climate Change Alliance 
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Uganda' GCCA+-Global Climate Change Alliance 
            
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&DESIRA\u00a0project/grant n\u00b0\u00a0FOOD/2021/427-759; the Swedish 
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&DESIRA\u00a0project/grant n\u00b0\u00a0FOOD/2021/427-759; the Swedish 
            
7
International Development Cooperation Agency (Sida); the Swiss Agency 
7
International Development Cooperation Agency (Sida); the Swiss Agency 
            
8
for Development and Cooperation (SDC); the Australian Centre for 
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for Development and Cooperation (SDC); the Australian Centre for 
            
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International Agricultural Research (ACIAR); the Norwegian Agency for 
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International Agricultural Research (ACIAR); the Norwegian Agency for 
            
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Development Cooperation (Norad); the Federal Democratic Republic of 
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Development Cooperation (Norad); the Federal Democratic Republic of 
            
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Ethiopia; and the Government of the Republic of Kenya. The project 
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Ethiopia; and the Government of the Republic of Kenya. The project 
            
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also received some funds from and Centre de Coop\u00b4eration 
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also received some funds from and Centre de Coop\u00b4eration 
            
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Internationale en Recherche Agronomique pourle D\u00b4eveloppement 
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Internationale en Recherche Agronomique pourle D\u00b4eveloppement 
            
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(CIRAD). We also acknowledge the support provided by Tony Mugoya and 
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(CIRAD). We also acknowledge the support provided by Tony Mugoya and 
            
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Seklbamu Joseph from Uganda Coffee Farmers Alliance (UCFA) during 
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Seklbamu Joseph from Uganda Coffee Farmers Alliance (UCFA) during 
            
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field surveys and data collection in the main Robusta coffee growing 
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field surveys and data collection in the main Robusta coffee growing 
            
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districts of Uganda.",
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districts of Uganda.",
            
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  "administrative_areas": "",
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  "administrative_areas": "",
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "citation_narrative": "N/A",
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  "citation_narrative": "N/A",
            
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  "collaborators": "[{\"collaborator\": \"Getachew Kebede\"}, 
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  "collaborators": "[{\"collaborator\": \"Getachew Kebede\"}, 
            
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{\"collaborator\": \"Bester Tawona Mudereri\"}, {\"collaborator\": 
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{\"collaborator\": \"Bester Tawona Mudereri\"}, {\"collaborator\": 
            
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\"Elfatih M. Abdel-Rahman\"}, {\"collaborator\": \"Onisimo Mutanga\"}, 
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\"Elfatih M. Abdel-Rahman\"}, {\"collaborator\": \"Onisimo Mutanga\"}, 
            
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{\"collaborator\": \"Tobias Landmann\"}, {\"collaborator\": \" John 
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{\"collaborator\": \"Tobias Landmann\"}, {\"collaborator\": \" John 
            
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Odindi\"}, {\"collaborator\": \"Natacha Motisi\"}, {\"collaborator\": 
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Odindi\"}, {\"collaborator\": \"Natacha Motisi\"}, {\"collaborator\": 
            
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\"Fabrice Pinard\"}, {\"collaborator\": \"Henri E. Z. Tonnang\"}]",
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\"Fabrice Pinard\"}, {\"collaborator\": \"Henri E. Z. Tonnang\"}]",
            
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  "contact_person": "Henri E. Z. Tonnang",
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  "contact_person": "Henri E. Z. Tonnang",
            
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  "contact_person_email": "htonnang@icipe.org",
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  "contact_person_email": "htonnang@icipe.org",
            
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  "country": "[{\"country\": \"UG\"}]",
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  "country": "[{\"country\": \"UG\"}]",
            
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  "creator_user_id": "f09ec764-fe3c-4069-850b-f968ff0c20bb",
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  "creator_user_id": "f09ec764-fe3c-4069-850b-f968ff0c20bb",
            
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  "date_uploaded": "2024-01-29",
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  "date_uploaded": "2024-01-29",
            
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  "donor": "The European Union (EU), project 'Robusta coffee 
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  "donor": "The European Union (EU), project 'Robusta coffee 
            
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agroforestry to adapt and\u00a0mitigate climate change in Uganda' 
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agroforestry to adapt and\u00a0mitigate climate change in Uganda' 
            
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GCCA+-Global Climate Change Alliance &DESIRA\u00a0project/grant 
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GCCA+-Global Climate Change Alliance &DESIRA\u00a0project/grant 
            
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n\u00b0\u00a0FOOD/2021/427-759",
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n\u00b0\u00a0FOOD/2021/427-759",
            
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  "end_date": "2023-12-31",
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  "end_date": "2023-12-31",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "80c02352-f994-437d-977f-600fbe45b966",
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  "id": "80c02352-f994-437d-977f-600fbe45b966",
            
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  "isopen": false,
            
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  "license_id": "cc-nc",
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  "license_id": "cc-nc",
            
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  "license_title": "Creative Commons Non-Commercial (Any)",
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  "license_title": "Creative Commons Non-Commercial (Any)",
            
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  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
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  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
            
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  "maintainer": "Kennedy Senagi",
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  "maintainer": "Kennedy Senagi",
            
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  "maintainer_email": "ksenagi@icipe.org",
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  "maintainer_email": "ksenagi@icipe.org",
            
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  "metadata_created": "2024-01-29T10:50:40.653161",
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  "metadata_created": "2024-01-29T10:50:40.653161",
            
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  "metadata_modified": "2024-01-29T10:50:40.653169",
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  "metadata_modified": "2024-01-29T10:52:00.040765",
            
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  "name": 
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  "name": 
            
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"discriminating-robusta-coffee-coffea-canephora-cropping-systems",
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"discriminating-robusta-coffee-coffea-canephora-cropping-systems",
            
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  "notes": "The coffee agro-natural systems are increasingly being 
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  "notes": "The coffee agro-natural systems are increasingly being 
            
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transformed into small-scale coffee-growing agricultural systems. In 
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transformed into small-scale coffee-growing agricultural systems. In 
            
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this context, the challenge of accurately classifying coffee cropping 
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this context, the challenge of accurately classifying coffee cropping 
            
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system (CS) becomes more significant, particularly in region like 
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system (CS) becomes more significant, particularly in region like 
            
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Uganda where dense vegetation and diverse topography complicate 
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Uganda where dense vegetation and diverse topography complicate 
            
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traditional land survey. This study harnesses the capabilities of 
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traditional land survey. This study harnesses the capabilities of 
            
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remote sensing to provide both imaging and non-imaging hyperspectral 
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remote sensing to provide both imaging and non-imaging hyperspectral 
            
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data crucial for distinguishing between various coffee CS and other 
57
data crucial for distinguishing between various coffee CS and other 
            
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land covers. Specifically, it focuses on the spectral analysis of 
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land covers. Specifically, it focuses on the spectral analysis of 
            
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three types of Robusta coffee CS -  those integrating agroforestry 
59
three types of Robusta coffee CS -  those integrating agroforestry 
            
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(AFS), those combined with banana cultivation, and in full sun 
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(AFS), those combined with banana cultivation, and in full sun 
            
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expose",
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expose",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "id": "b3f6f7ff-df08-49a0-8959-dc1444685c2f",
            
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    "image_url": "2022-05-17-135143.809085plant.jpeg",
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    "image_url": "2022-05-17-135143.809085plant.jpeg",
            
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    "is_organization": true,
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    "name": "plant-health",
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    "name": "plant-health",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Plant Health",
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    "title": "Plant Health",
            
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    "type": "organization"
            
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  },
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  "owner_org": "b3f6f7ff-df08-49a0-8959-dc1444685c2f",
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  "owner_org": "b3f6f7ff-df08-49a0-8959-dc1444685c2f",
            
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  "principal_investigator": "Henri E. Z. Tonnang ",
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  "principal_investigator": "Henri E. Z. Tonnang ",
            
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  "principal_investigator_email": "htonnang@icipe.org",
            
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  "private": false,
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  "private": false,
            
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  "region": "East Africa",
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  "region": "East Africa",
            
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  "relationships_as_object": [],
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      "mimetype": "text/csv",
            
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      "name": "Original field spectral data",
            
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      "url_type": "upload"
            
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  "start_date": "2021-01-01",
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  "start_date": "2021-01-01",
            
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  "state": "draft",
            
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  ],
            
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  "third_party": "no",
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  "third_party": "no",
            
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  "title": "Discriminating Robusta coffee (Coffea canephora) cropping 
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  "title": "Discriminating Robusta coffee (Coffea canephora) cropping 
            
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systems",
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systems",
            
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}