2020 Awards
Description: This machine learning dataset of smallholder farmer’s fields includes georeferenced crop images along with labels on input use, crop management, phenology, crop damage, and yields, collected across 8 counties in Kenya.
Authors: Lilian Waithaka, Koen Hufkens, Berber Kramer and Benson Njuguna
Dataset: access here
Description: This dataset includes corrected geolocations of fields, improving the usability of the most expansive Eastern Africa crop cut yield estimation. Collected by the non-profit One Acre Fund from 2015 – 2019, this dataset covers major crop producing regions in Kenya, Rwanda, and Tanzania.
Dataset: access here
Description: This project built a remotely monitored and controlled Internet of Things (IoT) fish pond water quality management system for the generation of labeled datasets both for conventional ponds and the aquaponic pond systems.
Authors: Udanor Collins, Blessing Ogbuokiri, and Nweke Onyiny
Dataset: access here
Description: This dataset contains a repository of image and spectrometry datasets for five main food security crops in Sub-Saharan Africa: cassava, maize, beans, bananas, and cocoa. Collected and curated in collaboration with the in-country agricultural experts, the datasets deliver a wide range of machine learning applications, including classification, object detection, early crop disease detection, and spatial analysis. The team collected and annotated 127,046 images and 39,300 spectral data points.
Authors: Joyce Nakatumba-Nabende, Andrew Katumba, Claire Babirye, Jeremy Francis Tusubira, Godliver Owomugisha, Neema Mduma, Darlington Akogo, Blessing Sibanda
Dataset: access here
All Lacuna Fund datasets are licensed under the CC-BY 4.0 International license unless otherwise noted.