In the pursuit of understanding surface water quality for sustainable urban management, we created a machine learning modeling framework that utilized Random Forest (RF), Cubist, Extreme Gradient Boosting (XGB), Multivariate Adaptive Regression...
Adopting agricultural technologies is crucial to improve productivity and livelihoods in developing countries. While much research has focused on adoption decisions, understanding dis-adoption, when farmers stop using technology, is equally important...
Grasspea (Lathyrus sativus L.) is a climate-smart legume crop with adaptation to fragile agroecosystems. The genus Lathyrus is recognized for its vast genetic diversity, encompassing over 160 species, many of which are cultivated for various purposes...
In the context of climate change, drought is a critical challenge that drastically limits the growth and productivity of crops. Seminal roots and coleoptile play an important role in crop establishment and growth. This study assessed the adaptive...
Manure valorization through on-farm use or market transactions is an ancient and widespread practice in the mixed crop-livestock systems of the semi-arid areas of North Africa. While research has long focused on the manure contribution to soil...
Introduction: Diseases have a negative impact on production and profitability of small ruminants. A good herd health program can decrease the number of sick animals and improve herd performance.
Methods: In a longitudinal study, small ruminant herd...
Within the European Union (EU), new plant varieties to be included in the Common catalog of a member state have to be registered on the national list after plant variety testing processes to establish whether the candidate variety is distinguishable...
