Deep Convolutional Neural Networks (CNNs) have demonstrated great performance on object detection and classification on still images. However, due to pose change, scaling and other complexities, object detectors and classifiers trained on still images cannot achieve comparable performance when directly applied to videos. In this project, we choose the baseline framework to be T-CNN [1], a deep ...

Fundamental to the philosophy of Precision Agriculture (PA) is the concept of matching inputs to needs. Recent research in PA has focused on use of Management Zones (MZ) that are fi eld areas characterised by homogeneous attributes in landscape and soil conditions. Proximal sensing (such as Electromagnetic Induction (EMI), Ground Penetrating Radar (GPR) and X-ray fl uorescence) can complement d...

Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a cro...

Denture stomatitis is the most common oral disorder found in denture wearers. It is usually associated with presence of Candida albicans infection. The study was carried out of (70) denture wearers to determine the effect of local predisposing factors, the oral and denture hygiene habits, age of denture and age of denture wearers and degree of Candida colonization on the denture surface to deve...

Purpose: The purpose of this study was to determine the influence of silicone remover on tensile bond strength of eight silicone-resilient denture liners to a denture base resin. Durability of bond strength of resilient denture liner to denture base resin was also examined by thermal cycling test. Materials and Methods: Eight commercial silicone resilient denture liners were used. The specimens...

Fast growing technology of wireless sensor networks (WSN) is an advantage to the agriculture sector. Modern advances in the development of WSN offer new trends like Precision Agriculture (PA). This paper presents Fuzzy Logic Based Intelligent Irrigation Control System by employing WSN for PA. In the proposed system the irrigation controller normalizes the desired moisture level in the agricultu...

BACKGROUND The purpose of this study was to calculate the measurement uncertainty of the process of bone mineral density (BMD) analysis using dual energy X-ray absorptiometry with traceability. METHODS Between March 2015 and October 2016, among healthy participants in their 20s and 30s, the study included those who had not taken calcium, vitamin D supplements and steroids and were without a h...

Unmanned Aerial Vehicles (UAVs) are an exciting new remote sensing tool capable of acquiring high resolution spatial data. This study has developed a UAV capable of collecting hyper resolution visible, multispectral and thermal imagery for application to Precision Viticulture (PV). Traditional modes of data collection are not well suited to the detection of subtle but important changes in viney...

The constantly growing yearly demand for meat, dairy products and eggs has important implications for agricultural production methods. Nowadays livestock/crop production is becoming increasingly industrialised worldwide, shifting from extensive, small-scale, subsistence production systems towards more intensive, large-scale, geographicallyconcentrated, specialised and commercially oriented ones...

a r t i c l e i n f o The use of high spatial resolution, on-the-go proximal soil sensing of apparent electrical conductivity (EC a) through electromagnetic induction (EMI) is increasingly common, in concert with yield mapping, to assist in the delineation of management zones for Precision Agriculture (PA). Less common, but gaining in popularity, is the use of gamma-radiometric (γ) soil sensing...