Canales - Turning satellite data into local farming advice (Agriculture 2.0): Lessons learned from two G4AW tenders :: Servicio de Descubrimiento de la UNA

Ejemplares similares: Turning satellite data into local farming advice (Agriculture 2.0): Lessons learned from two G4AW tenders

Vista rápida
Predicting aflatoxin risk in maize using machine learning and satellite data in East and Southern Africa
Vista rápida
Insights from above: Satellite and machine learning for agriculture and food security in Myanmar
Vista rápida
Satellite rainfall products and their reliability in the Blue Nile Basin
Vista rápida
A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine
Vista rápida
Smallholder fields crop type mapping based on satellite imagery
Vista rápida
Smart-ICT for weather and water information and advice to smallholders in Africa
Vista rápida
Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data.
Vista rápida
Brick kilns and agricultural productivity in Bangladesh: Evidence from satellite data and a natural experiment
Vista rápida
Data preparation 3: normalization of satellite sensor data
Vista rápida
Tender boost
Vista rápida
Advancing Soil Moisture Prediction Using Satellite and UAV-based Imagery with Machine Learning Models
Vista rápida
Predicting malaria prevalence with machine learning models using satellite-based climate information: technical report
Vista rápida
Assessing complex interactions between human and agro-ecosystem using satellite information. A case study in Katuk Odeyo, Western Kenya.
Vista rápida
Atmospheric CH4 and CO2 enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes
Vista rápida
An approach to dual land use and land cover interpretation of 2001 satellite imagery of the eastern slopes of Mt. Kenya
Vista rápida
Improving agricultural field parcel delineation with a dual branch spatiotemporal fusion network by integrating multimodal satellite data
Vista rápida
Quantifying post logging biomass loss using satellite images and ground measurements in Southeast Cameroon
Vista rápida
Satellite assessment of irrigation performance
Vista rápida
The potential applications of satellite altimetry with SARAL [Satellite with ARGOS and ALTIKA]/AltiKa for Indian inland waters
Vista rápida
CIAT-developed machine learning technology identifies agroforestry crops and other land cover types using publicly available (free) satellite imagery.
Vista rápida
Advancing food security: rice yield estimation framework using time-series satellite data & machine learning
Vista rápida
Evaluation of multiple satellite precipitation products for rainfed maize production systems over Vietnam
Vista rápida
Satellite data offers new hope for flood-stricken farmers in India
Vista rápida
Using satellite imagery to assess markets and conflict in Sudan

Autor: International Food Policy Research Institute