Estimation of Teff Yield Using Remote Sensing and GIS Techniques in Tigray Region, Northern Ethiopia

Abstract: 
Teff is one of the most important cereal crops in Ethiopia where about 66% of the population relies on it for food. . It is a glutenfree food crop which has attracted much interest in the international market. Forecasting Teff crop yield well before harvest is crucial in Tigray as the region is characterised by climatic uncertainties. Given that drought is a common occurrence in the region, timely and quantitative information on expected Teff crop yield will improve the area food production and in turn improve the country’s food security. A timely assessment of emergency situation will also allow the regional government to intervene with specific measures that support local farmers. Remote sensing images are capable of identifying crop health as well as predicting its yield. In this study, Normalised Difference Vegetation Index (NDVI) calculated from remote sensing images will be used to monitor crop growth and relate to crop yield. The satellite data will be validated using ground truth in farmer’s field.
Le Teff est l’une des cultures céréalières les plus importantes en Ethiopie, où environ 66% de la population s’en servent comme nourriture. Il est une culture vivrière sans gluten qui a suscité beaucoup d’intérêt sur le marché international. La prévision du rendement de culture du Teff bien avant la récolte est cruciale dans le Tigray comme la région est caractérisée par des incertitudes climatiques. Étant donné que la sécheresse est un phénomène fréquent dans la région, des renseignements opportuns et quantitatifs sur le rendement attendu de la culture de Teff permettront d’améliorer la production alimentaire de la région et à son tour améliorer la sécurité alimentaire du pays. Une évaluation rapide de la situation d’urgence permettra également au gouvernement régional d’intervenir avec des mesures spécifiques qui prennent en charge les agriculteurs locaux. Les images de télédétection sont capables d’identifier la santé de la culture ainsi que prédire son rendement. Danscette étude, l’indice normalisé de végétation de différence (NDVI) calculé à partir des images de télédétection sera utilisé pour surveiller la croissance de la culture et de l’associer au rendement de la culture. Les données satellitaires seront validées à l’aide de la vérité sur terrain dans le domaine des fermiers.
Language: 
Extended abstracts submitted under Integrated Crop Management
Date of publication: 
2012
Country: 
Region Focus: 
East Africa
Author/Editor(s): 
Collection: 
RUFORUM Conferences and Workshops
Agris Subject Categories: 
Additional keywords: 
Licence conditions: 
Open Access
Access restriction: 
Form: 
Printed resource
Publisher: 
Notes: 

The 2012 RUFORUM Biennial Conference is the third in the series. The main objective of the Biennial conferences is to provide a platform for agricultural research for development stakeholders in Africa and beyond to actively exchange findings and experiences, while at the same time learning lessons towards improving performance of the agricultural sector and ultimately people’s livelihoods. The biennial conference is RUFORUM’s most comprehensive meeting for the diversity of stakeholers in agriculture. It is especially dedicated to graduate students and their supervisors, grantees in RUFORUM member universities and alumni. It is a platform for peer review, quality control, mentorship, networking and shared learning. The third Biennial Conference was attended by 657 participants.This record contains an extended abstract accepted under Integrated Crop Management