Evidence map›Paper›PMID 31017938›Full record

ArticlePloS one2019

Plant protection product dose rate estimation in apple orchards using a fuzzy logic system.

Peter Berk, Denis Stajnko, Marko Hočevar, Aleš Malneršič, Viktor Jejčič, Aleš Belšak

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Peter BerkUniversity of Maribor, Faculty of Agriculture and Life Sciences, Chair of Biosystem Engineering, Maribor, Slovenia.ORCID 0000-0003-0592-9970
Denis StajnkoUniversity of Maribor, Faculty of Agriculture and Life Sciences, Chair of Biosystem Engineering, Maribor, Slovenia.
Marko HočevarUniversity of Ljubljana, Faculty of Mechanical Engineering, Laboratory for hydraulic machines LVTS, Ljubljana, Slovenia.
Aleš MalneršičUniversity of Ljubljana, Faculty of Mechanical Engineering, Laboratory for hydraulic machines LVTS, Ljubljana, Slovenia.
Viktor JejčičAgricultural Institute of Slovenia, Department for Agriculture Engineering, Ljubljana, Slovenia.
Aleš BelšakUniversity of Maribor, Faculty of Mechanical Engineering, Laboratory for Structure Evaluation, Maribor, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic properties of the tree canopy in an orchard are not taken into consideration. Such models result in fixed quantities of spray mixture being sprayed through individual nozzles into a tree canopy. In this research work, an autonomous system is presented, which ensures a controlled quantity of spray mixture sprayed through the nozzles onto different tree canopy segments. The autonomous system is based on a fuzzy logic system (FLS) that includes information about the estimated leaf area to ensure more appropriate control of the spray mixture. An integral part of the FLS is a fuzzy logic controller for three electromagnetic valves operating in the pulse width mode and installed on the axial sprayer prototype. The results showed that, with the FLS, it was possible to control the quantity of spray mixture in the specific range depending on the estimated value of the leaf area, with a quantitative spray mixture average saving of 17.92%. For the phenological growth stage BBCH 91, this method represents a powerful tool for reducing the quantity of spray mixture for plant protection in the future.

Indexed as

Crop ProtectionFuzzy LogicAutomationMalusPlant Leaves

Identifiers

PMID31017938
PMCPMC6481820

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.