Logo Lanfrica

From village to globe: A dynamic real-time map of African fields through PlantVillage

Domaine:

agriculturegeospatial
Créateur:
AnnPetJohDer
Éditeur:
ope
Hôte:
Abstract A major bottleneck to the application of machine learning tools to satellite data of African farms is the lack of high-quality ground truth data. Here we describe a high throughput method using youth in Kenya that results in a cost-effective method for high-quality data in near real-time. This data is presented to the global community, as a public good, on the day it is collected and is linked to other data sources that will inform our understanding of crop stress, particularly in the context of climate change.

Tasks

computer vision

Licenses

http://creativecommons.org/licenses/by-nc/4.0/

Similaires

Space-time clustering of childhood malaria at the household level: a dynamic cohort in a Mali village.

BACKGROUND: Spatial and temporal heterogeneities in the risk of malaria have led the

Kagema-ctrl/Tracking-Sea-Level-Rise-in-Mombasa-A-Story-Map-Through-Time

This project visualizes sea level changes in Mombasa over time (1980–2020) using an interactive Leaf

A TREASURE STORY: THOMAS BAINES'S ‘MAP TO THE GOLD FIELDS OF SOUTH EASTERN AFRICA’ 1877

Comparison of rainfall time series over South Africa generated from real data and through principal component analysis

Abstract Time series (scores) of rainfall from cloud bands across South Africa, generated through S

Village-level surveillance of neonatal disease with integrated real-time dashboards and quality-control in Uganda

Introduction Neonatal mortality remains disproportionately high in sub-Saharan Africa, where an esti

Real-time dynamic modelling for the design of a cluster-randomized phase 3 Ebola vaccine trial in Sierra Leone

Background

Declining incidence and spatial heterogeneity complicated the design of phase 3