Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …

Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …

The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …

Sugarcane white leaf phytoplasma (white leaf disease) in sugarcane crops is caused by a
phytoplasma transmitted by leafhopper vectors. White leaf disease (WLD) occurs …

Weed detection in crops is a new frontier of precision agriculture, which will enable the
distinction between desirable and undesirable plants. Accurate and efficient weed detection …

Quadcopters equipped with machine learning vision systems are bound to become an
essential technique for precision agriculture applications in pastures in the near future. This …

This study presents a comparative study of multispectral and RGB (red, green, and blue)
sensor-based cotton canopy cover modelling using multi-temporal unmanned aircraft …

Accurate detection of vegetation cover and biomass of shrub communities in sandy area is
beneficial for evaluating ecosystem, improving remote sensing models, and assessing the …

Accurate estimation of above ground biomass (AGB) is very important for crop growth
monitoring. The objective of this study was to estimate rice biomass by utilizing structural …