Profil des risques climatiques des chaînes de valeur des principales cultures de la Région de Tillabéri, Niger

A l’instar des régions du Niger, l’agriculture de la région de Tillabéri fait face à plusieurs conséquences néfastes du changement climatique affectant le développement agricole de la région. Cependant, il existe diverses potentialités pour développer ce secteur agricole afin de mieux supporter les chocs climatiques telles que l’Agriculture Intelligent face au Climat (AIC). C’est ainsi que depuis 2011, le programme de recherche du CGIAR sur le Changement Climatique, l’Agriculture et la sécurité alimentaire (CCAFS) met en oeuvre au Niger, un projet de développement de chaînes de valeur et paysage climato-intelligents pour accroitre la résilience des moyens de subsistance. Ce projet s’articule autour de trois activités principales, à savoir (i) l’analyse des chaînes de valeur afin d’identifier les risques climatiques et autres contraintes auxquelles font face les chaînes de valeur et qui pourraient être résolues par des options climato-intelligentes, (ii) l’intégration d’options agricoles climato-intelligentes (AIC) fondées sur des évidences dans les chaînes de valeur sélectionnées par le biais des plateformes d’innovation multipartites et (iii) l’élaboration d’un cadre conceptuel pour l’analyse de chaînes de valeur climato-intelligente

2021- IFAD-UE/CCAFS CSA Monitoring: Fakara Climate-Smart Village (Niger)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Fakara Climate Smart Village (Niger) in February 2021. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on: adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level and farm leve

EXPERIMENTATION OF AN APPLICATION OF EARLY DIAGNOSIS AND INVENTORY OF SOYBEAN DISEASES (GLYCINE MAX (L.) MERR.) IN BURKINA FASO

<p>Glycine max (L.) Merr also known as soya or soybean plays an important role in legume production in Burkina Faso. Every year, the country produces an average of 30,000 tonnes of soybean. It is grown for its oilseeds, which are rich in protein, fat, minerals and vitamins, making it an important food and feed crop. In addition, soya production is profitable for growers because it provides a real source of income through marketing operations. The lack of fertile land, adequate rainfall and phytosanitary protection in soya cultivation are not conducive for efficient production. Ignorance and lack of knowledge of the diseases encountered in soya production make it even more difficult to protect the crop, which further limits production.In order to improve knowledge of soybean diseases in Burkina Faso, an inventory of diseases associated with this crop was carried out using a plant pathology diagnostic application. In this study, the Plantix-Crop Doctor application, based on artificial intelligence with deep learning, was used in an Alpha Lattice experimental device. A disease identification form from the  Quebec Agriculture and Agri-Food Research Centre  was used as a reference. Among the diseases identified were Septoria leaf spot, grey leaf spot, anthracnose, bacterial blight, soybean blight, sudden death syndrome, downy mildew, powdery mildew and soybean rust. This list provides a database of soybean diseases that must be controlled by methods that consider environmental protection. The Plantix - your crop doctor application can be relied on to diagnose soybean diseases so that they can be treated at an early stage.</p><p> </p&gt