- Sara HEZIL
- Maître de recherche (PhD)
- [email protected]
- 00213799652006
- Algeria
- Centre de Recherche en Agropastoralisme-Djelfa-Algeria
- Research Organisation (Public)
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The Agropastoralism Research Center (CRAPast) is a public scientific and technological establishment with a sectoral vocation
The center is responsible for carrying out scientific research and technological development programs in the field of agropastoralism, including:
— research on pastoral planning to combat desertification and the introduction of new
cultural practices;— the study of the different nutritional characteristics of steppe plants in order to use them in the agropastoral industrial field and the creation of new pastoral varieties that are resistant and productive in the conditions
steppe;
— the exploitation of the genetic variability of local species in order to improve the adaptation of vegetation
pastoral;— the development of new techniques for valorizing water resources through the creation of infrastructure
appropriate pastoral hydraulics and irrigation;
— the study of the impacts on the management and operation of the infrastructure built and their valorization;
— the study of the effects of water and saline stress on the development of the production of pastoral species;
— the phenotypic and genotypic study and breeding systems in order to optimize operating methods for
preservation of local animal breeds (goats, sheep, camels and horses);
— research into the best processes for improving and developing local products and by-products
breeding, meeting consumer needs;— the introduction of modern reproduction techniques (animal and plant);
— the introduction of new processes to improve the traditional activities of rural women.
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Our interdisciplinary team brings together expertise in key areas of Forest Management, and the climate change and the relationships between forest growth and abiotic and biotic factors, We have also focused our research on intelligent agriculture (AI), Developing innovative approaches to analyses plant disease detection and classification and fight pests by innovative methods
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Forest management, Intelligence artificial, Climate change, Innovative approaches, Technology