Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review.

ABSTRACT: Orchard monitoring is a vital direction of scientific research and practical application for increasing fruit production in ecological conditions. Recently, due to the development of technology and the decrease in equipment cost, the use of unmanned aerial vehicles and artificial intelligence algorithms for image acquisition and processing has achieved tremendous progress in orchards monitoring. This paper highlights the new research trends in orchard monitoring, emphasizing neural networks, unmanned aerial vehicles (UAVs), and various concrete applications. For this purpose, papers on complex topics obtained by combining keywords from the field addressed were selected and analyzed. In particular, the review considered papers on the interval 2017-2022 on the use of neural networks (as an i

SUBMITTER: Popescu D 

PROVIDER: S-EPMC10711071 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature