The current study presented a comprehensive analysis of O. mossambicus and its possible hybrids inhabiting four localities, with a focus on morphometric and genetic assessments to identify species and hybridization patterns. ...
Smallholder farmers play a crucial role in contributing to economic development and economic growth. Nevertheless, smallholder farmers are not fully linked and introduced to the agro-processing industry which is classified ...
Toggenburg dairy goats, which are valued for their versatility and excellent milk production under a variety of environmental conditions, are essential to the South African dairy industry. The aim of this study was to ...
This study investigates rangeland productivity in Blouberg Municipality, Limpopo Province, under changing climatic conditions using satellite-derived data. The research employs MODIS-derived vegetation indices, specifically ...
Haematological parameters may be affected by several internal and external factors making their interpretation more challenging. Non-genetic factors are known to have an influence on haematological parameters of sheep, ...
Cancer is a noteworthy global health issue, and according to predictions by the World Health Organization, the number of new cases was projected to increase to approximately 29-37 million by 2040, worldwide (WHO, 2020, ...
In rural households, donkeys are frequently seen as significant assets that support sustainable revenue generation and a way of life. Donkey farming is negatively perceived or viewed as a low-class or old-fashioned type ...
Groundwater is the primary source of water supply for domestic use, agricultural and mining sectors in the Klein Letaba River catchment, which is located in the central-eastern part of the Limpopo Province. As a result of ...
Tillering is one of sorghum’s adaptive traits to water availability, which can ‘make or
break’ crop yields depending on cultivar genetics. The complex interaction between
water availability and genetic expression makes ...
Moringa oleifera, part of the Moringaceae family, is a subtropical plant renowned for its medicinal properties. Its leaves are often used as leafy vegetables or as primary ingredients in green smoothies. However, Moringa ...
The transformer-based machine learning technique is a deep learning model that
processes the sequential input data using an encoder-decoder process. Transformers process the input data simultaneously using a parallelism ...
Tuberculosis (TB) is a well-known communicable disease discovered decades back
and continues to be a persistent socio-economic burden worldwide with the increasing
number of multidrug-resistant and extensive-drug resistant ...
Moringa oleifera, often referred to as the "drumstick tree" or "miracle tree," has gained prominence for its nutritional and medicinal properties. This study aimed to assess the impact of different propagation methods on ...
Moringa oleifera is a species of Moringa belonging to the family Moringaceae which
has been used for thousands of years in less developed communities. It is a nutrient rich plant containing a variety of minerals and ...
This study aims to measure the effect of food safety standards and competitiveness of South African orange exports destined for strategic Asian markets. The study goal is to provide policymakers with insights to assist ...
The high cost of fish feed in developing countries makes it imperative to develop aquaculture technologies that can produce natural food in production systems without increasing input costs. Periphyton-based aquaculture ...
One of the most significant analysis in medical diagnosis is blood glucose measurement. In other scientific and industrial domains, such as environmental monitoring, pharmaceuticals, and the food sector, they are equally ...
Recent developments in artificial intelligence have allowed significant gains in computer vision, cybersecurity, e-Commerce, and healthcare through the application of machine learning and deep learning models. A plethora ...
Interface interactions of Au- and Ag-nanoparticles with fibrin protein molecules have been investigated using both computational and experimental approaches. Computational approach used Monte Carlo, density functional ...