Sensors, Vol. 20, Pages 4214: Vision System for Automatic On-Tree Kiwifruit Counting and Yield Estimation
Sensors, Vol. 20, Pages 4214: Vision System for Automatic On-Tree Kiwifruit Counting and Yield Estimation
Sensors doi: 10.3390/s20154214
Authors:
Mohamed Lamine Mekhalfi
Carlo Nicolò
Ivan Ianniello
Federico Calamita
Rino Goller
Maurizio Barazzuol
Farid Melgani
Yield estimation is an essential preharvest practice among most large-scale farming companies, since it enables the predetermination of essential logistics to be allocated (i.e., transportation means, supplies, labor force, among others). An overestimation may thus incur further costs, whereas an underestimation entails potential crop waste. More interestingly, an accurate yield estimation enables stakeholders to better place themselves in the market. Yet, computer-aided precision farming is set to play a pivotal role in this respect. Kiwifruit represents a major produce in several countries (e.g., Italy, China, New and Zealand). However, up to date, the relevant literature remains short of a complete as well as automatic system for kiwifruit yield estimation. In this paper, we present a fully automatic and noninvasive computer vision system for kiwifruit yield estimation across a given orchard. It consists mainly of an optical sensor mounted on a minitractor that surveys the orchard of interest at a low pace. Afterwards, the acquired images are fed to a pipeline that incorporates image preprocessing, stitching, and fruit counting stages and outputs an estimated fruit count and yield estimation. Exp...
Source: Sensors - Category: Biotechnology Authors: Mohamed Lamine Mekhalfi Carlo Nicol ò Ivan Ianniello Federico Calamita Rino Goller Maurizio Barazzuol Farid Melgani Tags: Article Source Type: research
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