The individual electronic identification (EID) of cattle based on RFID technology (134.2 kHz ISO standard 11784) will definitely enter into force in European countries as an official means of animal identification from July 2019. Integrating EID with 3D digital images of the animal would lead to the creation of a virtual archive of breeding animals for the evaluation and promotion of morphology associated with economic traits, strategic in beef cattle production. The genetically-encoded morphology of bulls and cows together with the expression in the phenotype were the main drivers of omic technologies of beef cattle production. The evaluation of bulls raised for reproduction is mainly based on the conformation and heritability of traits, which culminates in muscle mass and optimized carcass traits in the offspring destined to be slaughtered. A bottom-up approach by way of SWOT analysis of the current morphological and functional evaluation process for bulls revealed a technological gap. The innovation of the process through the use of smart technologies was tested in the field. The conventional 2D scoring system based on visual inspection by breed experts was carried out on a 3D model of the live animal, which was found to be a faithful reproduction of live animal morphology, thanks to the non significant variance (p > 0.05) of means of the somatic measures determined on the virtual 3D model and on the real bull. The four main groups composing the scoring system of bull morphology can easily be carried out on the 3D model. These are as follows: (1) Muscular condition; (2) Skeletal development; (3) Functional traits; (4) Breed traits. The 3D-Bull model derived from the Structure from Motion (SfM) algorithm displays a high tech profile for the evaluation of animal morphology in an upgraded system.

Since 2004, increasing attention has been focused on improving UAV applications in forestry. The technology related to the drones also allowed to prefigure new applications related to forest monitoring in real-time and timely, such as the monitoring of fire fronts during forest fires. Accurate information about forest composition, structure, volume, growth, and extent is essential for sustainable forest management. The aim of this paper is to compare the results obtained from Web of Science and Scopus databases in order to have a wide framework of the bibliography to explore between 2004 to date. The number of found publications in Scopus and Web of Science databases, underline that there is an increasing interesting on the investigated thematic; the comparison between the two databases show that WoS is more complete than Scopus. In conclusion, the results comparison, for each keywords combination in both databases, show that Web of Science is the best bibliographic database research for the explored thematic.

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