Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …

Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

Deep learning has emerged as a potential tool for crop yield prediction, allowing the model
to automatically extract features and learn from the datasets. Meanwhile, smart farming …

Climate change has introduced significant challenges that can affect multiple sectors,
including the agricultural one. In particular, according to the Food and Agriculture …

Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early
warning system, allowing the agricultural community to intervene early on to counter …

Unmanned aerial vehicles (UAVs) and satellite constellations are both essential Earth
Observation (EO) systems for monitoring land surface dynamics. The former is frequently …

Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision
agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also …

This paper explores the potential of smart crop management based on the incorporation of
tools like digital agriculture, which considers current technological tools applied in …

With the rapid development of genetic analysis techniques and crop population size,
phenoty** has become the bottleneck restricting crop breeding. Breaking through this …

Pre-harvest prediction of a crop yield may prevent a disastrous situation and help decision-
makers to apply more reliable and accurate strategies regarding food security. Remote …