Agriculture consumes an important ratio of the water reserve in irrigated areas. The
improvement of irrigation is becoming essential to reduce this high water consumption by …

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

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

Rice biomass is a biofuel's source and yield indicator. Conventional sampling methods
predict rice biomass accurately. However, these methods are destructive, time-consuming …

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 …

Accurate, timely assessment of the vineyard on a field scale is essential for successful grape
yield and quality. Remote sensing can be an effective and useful monitoring tool, as data …

In recent decades, precision agriculture and geospatial technologies have made it possible
to ensure sustainability in an olive-growing sector. The main goal of this study is the …

Accurate and timely monitoring of biomass in breeding nurseries is essential for evaluating
plant performance and selecting superior genotypes. Traditional methods for phenotyping …

Recently, technological development has become increasingly pronounced, with great
advances in all production areas, including agriculture. In the agricultural sector …

As the major nutrient affecting crop growth, accurate assessing of nitrogen (N) is crucial to
precise agricultural management. Although improvements based on ground and satellite …