Accuracy in agricultural citizen science: farmers’ assessment of harvest output in Ghana (doi:10.7910/DVN/6VTLGD)

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Document Description

Citation

Title:

Accuracy in agricultural citizen science: farmers’ assessment of harvest output in Ghana

Identification Number:

doi:10.7910/DVN/6VTLGD

Distributor:

Harvard Dataverse

Date of Distribution:

2024-12-18

Version:

1

Bibliographic Citation:

Ulzen, Jacob; Van Etten, Jacob; Dorado Betancourt, Hugo Andres; Osei Bonsu, Nana Oduro; Bush, George, 2024, "Accuracy in agricultural citizen science: farmers’ assessment of harvest output in Ghana", https://doi.org/10.7910/DVN/6VTLGD, Harvard Dataverse, V1, UNF:6:e75IN7epeO7eLPnOA0w3Nw== [fileUNF]

Study Description

Citation

Title:

Accuracy in agricultural citizen science: farmers’ assessment of harvest output in Ghana

Identification Number:

doi:10.7910/DVN/6VTLGD

Authoring Entity:

Ulzen, Jacob (Bioversity International)

Van Etten, Jacob (Bioversity International)

Dorado Betancourt, Hugo Andres (International Center for Tropical Agriculture - CIAT)

Osei Bonsu, Nana Oduro (International Center for Tropical Agriculture - CIAT)

Bush, George (International Center for Tropical Agriculture - CIAT)

Producer:

Bioversity International and the International Center for Tropical Agriculture

Date of Production:

2022-03-01

Grant Number:

A1540-Bill & Melinda Gates Foundation(BMGF)-1000 Farms Research Platform

Grant Number:

A1317-KIT (NETHERLANDS - NWO) Citizen’s Science approach to climate smart and nutrition sensitive seed value chains for food and nutrition security in Uganda and Ethiopia

Distributor:

Harvard Dataverse

Distributor:

Bioversity International and the International Center for Tropical Agriculture

Access Authority:

Alliance Data Management

Depositor:

Alliance Data Management

Date of Deposit:

2024-11-15

Date of Distribution:

2024-11-14

Holdings Information:

https://doi.org/10.7910/DVN/6VTLGD

Study Scope

Keywords:

Agricultural Sciences, Earth and Environmental Sciences, citizen science, Africa, Digital Inclusion

Topic Classification:

participatory approaches

Abstract:

This study aims to assess methods for farmer-led yield estimation in decentralized on-farm trials, addressing whether farmers can accurately collect data. Key research questions involve evaluating yield estimation techniques and farmer accuracy without extensive training.This study aims to assess methods for farmer-led yield estimation in decentralized on-farm trials, addressing whether farmers can accurately collect data. Key research questions involve evaluating yield estimation techniques and farmer accuracy without extensive training. <br><br> Methodology:We tested volumetric and weighing methods for maize and cocoa yield estimation with 40 farmers in different locations in Ghana.We tested volumetric and weighing methods for maize and cocoa yield estimation with 40 farmers in different locations in Ghana.

Time Period:

2022-03-01-2022-04-28

Date of Collection:

2022-03-01-2022-04-28

Country:

Ghana

Geographic Bounding Box:

  • West Bounding Longitude: -2.600
  • East Bounding Longitude: -2.167
  • South Bounding Latitude: 6.118
  • North Bounding Latitude: 6.700

Unit of Analysis:

Individual

Universe:

Cocoa-growing farmers in Ghana

Kind of Data:

Experimental Data

Kind of Data:

Socio-economic Data

Methodology and Processing

Type of Research Instrument:

StructuredStructured

Sources Statement

Data Access

Disclaimer:

<p>The Alliance of Bioversity International and CIAT (hereinafter "the Alliance"), its partners, and the data authors have exercised utmost care in collecting and compiling the data. However, the data is provided "as is" without any express or implied warranty. Neither the Alliance, its partners, the data authors, nor any relevant funding agencies shall be held liable for any actual, incidental, or consequential damages arising from the use of this data.</p> <p>By utilizing the Alliance Dataverse, users explicitly acknowledge that the data may contain nonconformities, defects, or errors. No warranty is provided that the data will meet users' needs or expectations, nor that all nonconformities, defects, or errors can or will be corrected.</p> <p>Users are responsible for verifying the accuracy and suitability of the data for their intended use. It is strongly recommended that users refer to related publications as a baseline for their analysis whenever possible. This practice serves as an additional safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the respective Dataverse study.</p>

Other Study Description Materials

Other Study-Related Materials

Label:

01a.Dictionary_Ulzen_Farmer_accuracy_Ghana.xlsx

Text:

Data from farmer accuracy experiments

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

02a. Data_Ulzen_Farmer_accuracy_Ghana.xlsx

Text:

Data from farmer accuracy experiments

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet