This article presents step-by-step applied methodology to design a 905-nm 5-kHz rep. rate diode-laser biaxial lidar ceilometer prototype beginning from the definition of initial specs, and related trade-offs to the first ...

Pesticide spray drift is usually measured by means of passive collectors and tracers. However, there are several drawbacks to their use, related to the fact of being a time-consuming, single-point and time-averaged ...

The development of reliable fruit detection and localization systems provides an opportunity to improve the crop value and management by limiting fruit spoilage and optimised harvesting practices. Most proposed systems for ...

This article contains data related to the research article entitle “Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities” [1]. The development of reliable fruit detection and ...

Lidar technology is becoming a promising alternative for spray drift measurement to the labour and time-expensive methodologies based on the ISO 22866 standard. This paper presents last advancements in an eye-safe lidar ...

Fruit detection and localization will be essential for future agronomic management of fruit crops, with applications in yield prediction, yield mapping and automated harvesting. RGB-D cameras are promising sensors for fruit ...

Agricultural aerosol emissions can significantly impact human and animal health as well as the environment. Therefore, it is essential to adopt new sensing techniques for real-time monitoring these emissions in high temporal ...

Range-resolved lidar systems, principally the elastic ones, have been used in a number of studies for pesticide spray drift monitoring in both aerial and ground spray treatments (Gregorio et al., 2011). In most cases, lidar ...