Hail events represent a major source of economic risk in apple production, leading to significant losses in yield and marketable output. Although anti-hail net systems are increasingly adopted as a mitigation strategy, evidence on their economic viability remains limited, especially in emerg...

Abstract. Satellite remote sensing is a key data source for precision agriculture, enabling vegetation indices such as NDMI and EVI to monitor vegetation health and soil water stress over large areas. Its practical use, however, is often constrained by manual image selection, downloadin...

Precision Agriculture (PA) is one of the enablers of data-driven agriculture. Digital Agriculture (DA) tools are increasingly vital in driving the adoption of PA techniques across small, medium, and large-scale farming operations. These technologies, including the Internet of Things (IoT), sensor...

The economy digital transformation started, mainly from the beginning of the XXI century, a new era in which data has become a highly valuable input, giving rise to disruptive technologies that are changing the way business chains operate. As one of the main food, fiber a...

Weed infestation is one of the leading causes of global agricultural productivity losses, directly impacting production costs, environmental sustainability, and food security. In precision agriculture, automated weed detection from aerial imagery enables site-specific herbicide application, reducing chemical ov...

Digital and precision agriculture are expected to play a central role in shaping future sustainable food production systems by enabling more intelligent, adaptive, and resource-efficient processes. This study adopted a literature review, composed of bibliometric and systematic aspects, to propose ...

Abstract. The practice of precision viticulture enables mapping of spatial and temporal variability of internal vineyard factors. Because grapevines are perennial crops, they exhibit consistent behavior across crop cycles, requiring an analysis of the interdependence between causes and effects over&#x...

Precision agriculture in mountainous perennial crops faces unique implementation challenges due to steep topography and restricted accessibility, which limit traditional methods for delineating management zones (MZs). To overcome this, this study evaluated the integration of multiresolution remote sensing ...

Precision agriculture increasingly relies on spatial data to optimize crop management; however, delineating accurate Management Zones (MZs) in perennial crops like coffee (Coffea arabica L.) presents unique challenges. Optical remote sensing alone primarily captures transient canopysurface conditions, which...