Over the last few years, several Convolutional Neural Networks for object detection have
been proposed, characterised by different accuracy and speed. In viticulture, yield …

Improvements in the spray application of plant protection products enhance agricultural
sustainability by reducing environmental contamination, but by increasing food quality and …

Whether the digital economy can effectively promote agricultural green development is
crucial to the realization of agricultural rural modernization. This study empirically analyzes …

The applications of digital agriculture technologies are increasing rapidly with increased
interest from the new generation of farmers to use digital solutions. Such technologies …

Defining the most profitable remote sensing platforms is a difficult decision-making process,
as it requires agronomic and economic considerations. In this paper, the price and …

ICT-based interventions such as smart farming and precision agriculture are helping to
improve the output of traditional agricultural systems and drive them toward sustainability …

Mapping crop within-field yield variability provide an essential piece of information for
precision agriculture applications. Leaf Area Index (LAI) is an important parameter that …

In this paper, a deep-learning model is proposed as a viable approach to optimize the
information on soil parameters and agricultural variables' effect in cotton cultivation, even in …

Precision irrigation is becoming more and more important in agricultural crop production due
to the limited water resources resulting from the negative effects of climate change. Modeling …

Soil nutrients are a vital part of soil fertility and other environmental factors. Soil testing is an
efficient tool used to evaluate the existing nutrient levels of soil and aid to compute the …