The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Over the last few years, Deep learning (DL) approaches have been shown to outperform
state-of-the-art machine learning (ML) techniques in many applications such as vegetation …

Plastic sand paver blocks provide a sustainable alternative by using plastic waste and
reducing the need for cement. This innovative approach leads to a more sustainable …

In the digital soil mapping (DSM) framework, machine learning models quantify the
relationship between soil observations and environmental covariates. Generally, the most …

Soil organic carbon (SOC) is an important indicator of soil quality and directly determines
soil fertility. Hence, understanding its spatial distribution and controlling factors is necessary …

Soil erosion is a serious threat to sustainable agriculture, food production, and
environmental security. The advancement of accurate models for soil erosion susceptibility …

Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous
attention among hydraulic engineers, mainly owing to their established performance with …

Building information modeling (BIM) is a modern data information platform and management
tool that promotes the development of green buildings. In Pakistan, the building sector …

Canada has extensive forests and peatlands that play key roles in global carbon cycle.
Canadian soils and peatlands are assumed to store approximately 20% of the world's soil …

The integration of deep learning and blockchain technologies has the potential to
revolutionize soil quality prediction in smart agriculture. Deep learning models, like neural …