Evidence map›Paper›PMID 36433495›Full record

ArticleSensors (Basel, Switzerland)2022

Robotic Platform for Horticulture: Assessment Methodology and Increasing the Level of Autonomy.

Alexey Kutyrev, Nikolay Kiktev, Marcin Jewiarz, Dmitriy Khort, Igor Smirnov, Valeria Zubina, Taras Hutsol, Marcin Tomasik, Mykola Biliuk

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Alexey KutyrevFederal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", International Center of Informatics and Computer Science (ICICS), Hong Kong 109428, China.ORCID 0000-0001-7643-775X
Nikolay KiktevDepartment of Intelligent Technologies, Taras Shevchenko National University of Kyiv, 01601 Kyiv, Ukraine.ORCID 0000-0001-7682-280X
Marcin JewiarzFaculty of Production and Power Engineering, University of Agriculture in Krakow, 30-149 Krakow, Poland.ORCID 0000-0001-5193-4274
Dmitriy KhortFederal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", International Center of Informatics and Computer Science (ICICS), Hong Kong 109428, China.ORCID 0000-0001-6503-0065
Igor SmirnovFederal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", International Center of Informatics and Computer Science (ICICS), Hong Kong 109428, China.ORCID 0000-0001-9992-1261
Valeria ZubinaFederal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", International Center of Informatics and Computer Science (ICICS), Hong Kong 109428, China.ORCID 0000-0002-6657-1899
Taras HutsolDepartment of Mechanics and Agroecosystems Engineering, Polissia National University, 10008 Zhytomyr, Ukraine.ORCID 0000-0002-9086-3672
Marcin TomasikFaculty of Production and Power Engineering, University of Agriculture in Krakow, 30-149 Krakow, Poland.ORCID 0000-0002-3152-4654
Mykola BiliukInnovative Program of Strategic Development of the University, European Social Fund, University of Agriculture in Krakow, 30-149 Krakow, Poland.ORCID 0000-0001-6842-7746

Funding

University of Agriculture in Krakow Financed from the subsidy of the Ministry of Education and Science for the Hugo Kołłątaj Agri-cultural University in Kraków for the year 2022.
6 · The paper itself

Abstract

The relevance of the study is confirmed by the rapid development of automation in agriculture, in particular, horticulture; the lack of methodological developments to assess the effectiveness of the introduction of robotic technologies; and the need to expand the functionality of mobile robots. The purpose of the study was to increase the level of autonomy of a robotic platform for picking apple fruits based on a new method, develop a system of factors to determine the effectiveness of the introduction of robots in horticulture, and develop a control system using integrated processing of onboard data. The article discussed the efficiency factors for the introduction of robotic systems and technologies in agricultural enterprises specializing in horticulture within the framework of projects with different budgets. The study sample consisted of 30 experts-enterprises that have implemented robotic platforms and scientists specializing in this field. Based on an expert survey of enterprise specialists, a ranked list of 18 efficiency factors was obtained. To select an evaluation factor that determines the effectiveness of robotization and the developed control system, a method for calculating the concordance coefficient (method of expert analysis) was applied as a measure of the consistency of a group of experts for each group of factors. An analysis of the results of the expert evaluation showed that three factors are the most significant: the degree of autonomy of work; positioning accuracy; and recognition accuracy. The generalized indicator of local autonomy of task performance was estimated based on the analysis of a set of single indicators. A system for controlling the movement of an autonomous robotic wheeled platform based on inertial and satellite navigation and calculation of the path to be overcome was developed. The developed software allows for the design of a route for the robotic platform in apple horticulture to automatically perform various technological operations, such as fertilization, growth and disease control, and fruit harvesting. With the help of the software module, the X, Y coordinates, speed and azimuth of movement were given, and the movement of the platform along the given typical turn trajectories in an intensive horticulture environment was visualized.

Indexed as

RoboticsRobotic Surgical ProceduresHorticultureSoftwareTask Performance and Analysiscontrol system architectureevaluation factorsexpertsrobot autonomyrobotization of agriculturesoftware module for route constructiontrajectory of movement

Identifiers

PMID36433495
PMCPMC9693234

What OpenQuestion holds

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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.