Two fruit counting methods were developed for citrus mechanical harvesting machineries. The first method relied on the flow of fruits forming a random arrival process (Poisson process), whereas the second method relied on counting singulated fruits. The first approach was based on a method developed earlier targeted at measuring the flow rate and mean particle diameter of granular fertilizer particles. A similar approach was used in this research, where a large time of flight device was developed that measured the lengths of clumps of fruits falling through the time of flight device. The clump lengths were subsequently used to estimate the number of fruits passing the sensor per time unit. This method can only work accurately if the flow of fruits constitutes an independent arrival process (Poisson process). The advantage of this method is that it is non-intrusive, founded on theory and does not require calibration. However, during experiments it became evident that the flow of fruits directly after being transported from a conveyor belt was not Poisson driven, and therefore the method failed. As an alternative, a second method was developed which did not rely on any assumptions about the flow regime and is also virtually non-intrusive. This method uses a flow separation section which funnels and singulates the flow of fruits into five channels. The fruits in these channels were counted individually using laser-based photo-interruption sensors. This method, although more rudimentary than the Poisson-based approach, yielded good accuracy: during laboratory tests, where a total of 2000 fruits passed the sensor, 1996 were counted, yielding an error of 0.2%. This result was obtained with an unrefined sensor, and further increase in accuracy may be possible. Testing is planned on a full size canopy shaker fruit harvester under field conditions to assess the robustness and to develop methods to resolve potential errors introduced by debris.
Computers and Electronics in Agriculture – Elsevier
Published: Mar 1, 2009
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera