Crop yield forecasting is a vital tool to support stakeholders and decision-makers in preparing for potential yield deficiencies. Most crop yield forecasts so far have been implemented on a regional to national scale. Field-scale forecasts can add vital information for farmers and insurers but still have much potential to improve. Especially the increasing availability of …
Satellite-UAV Data Fusion for Early Anomaly Detection in Row Crops – Application to Vineyards and Olive Groves” (VINESAT). The project develops Data Fusion of Sentinel-2 and UAV data to obtain high-frequency, high-resolution imagery in both time and space.
The webinar provides a biological basis for crop yield estimation and within-season forecasting with Earth observation image data. The webinar will be executed under the framework of the EO AFRICA R&D Facility by the University of Twente – Faculty of Geoinformation Science and Earth Observation.
The 6th F2F course of the EO AFRICA R&D Facility will take place in Rabat, Morocco at CRASTE-LF (African Regional Centre for Space Science and Technology in French Language). This course will provide participants with the necessary theoretical and practical knowledge on vegetation and drought monitoring based on satellite EO data. It will focus both …
Variable application of fertilizers based on remote sensing data analysis has become popular among farmers focussing on smart agriculture. Some farmers and companies are in similar manner using variable seeding strategies, in order to save costs and improve yields. Variable application of plant growth regulators is a promising step towards precision agriculture. A growth regulator, …
‘Water Stress and Climate Indices for Africa’ (WaSCIA) is an ESA funded project that aims to deliver high-quality Water Stress and Climate Indices through an easy-to-use web interface to help the management of drought and water stress in Africa. The project is led by Telespazio UK with the partnership of RSS-Hydro, Telespazio France, AGRHYMET (Centre Regional de Formation et d’Application en Agrométéorologie …
Afri4Cast project will develop a modeling platform making full exploitation of satellite remote sensing of PRISMA and ECOSTRESS sensors for climate change impact analyses on agriculture and making it available to African stakeholders for shaping future agricultural policies in the African Continent. Afri4Cast will provide national-, regional-, parcel-, pixel-specific in season production estimates, mycotoxin formation …
The project investigates how sustainable agriculture can be achieved in the Africa continent under drought conditions, by co-developing innovative scientific EO-based and state-of-the-art modelling solutions together with African experts increasing their knowledge and capacity, developing an operative platform and database for results visualization and sharing with the end-users.
This project aims to exploit new opportunities offered by the EO technological advances, in order to favour the development of EO local experts in Africa, by providing geospatial information and natural resources mapping/monitoring. Policy makers and relevant regional stakeholders (”Early Adopters”) will take a direct advantage on the availability of EO products describing the status …
ADM Kenya project aims to co-develop solutions for monitoring crop condition and cropping systems with EO time-series observations to derive evidence-based quantitative vegetation condition estimates with high spatial and temporal resolution. We will develop novel EO-based solutions for drought monitoring at a national scale in Kenya. ADM Kenya will provide cloud-based processing algorithms that will …
