Intelligent automated system based on a fuzzy logic system for plant protection product control in orchards

Berk, P.; Belšak, Aleš; Stajnko, D.; Lakota, M.; Muškinja, Nenad; Hočevar, Marko; Rakun, J.

doi:10.25165/j.ijabe.20191203.4476

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…Viais Neto et al [23] followed fuzzy logic to examine the effect of selected variables on tomato growth and productivity. Berk et al [24] decided to use a fuzzy logic algorithm to select methods of spraying plants in orchards, and proved that an intelligent automated system uses 4.8 times less spraying mixture compared to the conventional approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

et al. 2022

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Bosnia and Herzegovina (abbreviated BiH) has great potential for fruit production. BiH has over 1.5 million hectares of agricultural land. In addition, there are excellent climatic conditions for growing fruit. However, although there is a long tradition of fruit production in BiH, this production must be improved. This paper provides guidance on making decisions in fruit growing when there are multiple criteria. All criteria are divided into two groups: economic and technical criteria. The economic criteria are further divided into three subcriteria, namely: marketing costs, orchard construction costs and processing and transport costs. Technical criteria are divided into four subcriteria, namely: fruit, variety resistance, production characteristics and processing and transport. According to these, a multicriteria decision-making model based on linguistic values was created. In order to take advantage of these values, a fuzzy approach was applied. Using this approach, decision-making process is easier because decision making is tailored to human thinking. For the example of raising a new orchard in the area of Semberija, an evaluation of seven different varieties of pears was performed. This problem is solved by applying the method of multicriteria analysis (MCDA). To solve this research problem, the MABAC (Multi-attributive border approximation area comparison) method was used. Using the fuzzy MABAC method, the obtained results show that the Šampionka variety has the best indicators among observed varieties. In addition, the Konferans variety achieved good results, and these two varieties are the first choice for raising a new orchard of pears. The paper validates the results and performs sensitivity analysis. The contribution of this research is to develop a new model of decision making by using a new methodology that facilitates decision making on variety selection. This model and methodology provide a flexible way of making decisions in fruit growing.

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Section: Literature Reviewmentioning

confidence: 99%

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

et al. 2022

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“…This system was tested and they reported a saving of product up to 53%. Berk et al (2019) used a 3 × 3 matrix of ultrasonic sensors and a fuzzy technology in their design of a precision spraying system. They tested if changes in certain parameters would affect the coverage with plant protection product (PPP) on the canopy.…”

Section: Sprayingmentioning

confidence: 99%

Automation and robotics in the cultivation of pome fruit: Where do we stand today?

Verbiest

Ruysen²,

Vanwalleghem³

et al. 2020

Journal of Field Robotics

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The cultivation of apples and pears in orchards consists of several tasks that still demand much human labor. The cost of this skilled labor increases while the number of competent seasonal workers becomes insufficient. These facts are a threat to the fruit industry. To find a solution, this paper addresses current as well as future automation possibilities for the main orchard tasks as a profitable alternative to human labor. Besides an activity research in pome fruit orchards, this paper contains an overall review of the research and developments that have been performed to automate each major activity (e.g., pruning, thinning, spraying, harvesting and mobile navigating) in the cultivation of pome fruit. These tasks are individually evaluated on feasibility and profitability of the developed automations. Finally, this paper concludes that, despite the large amount of research, almost no fully automated and cost-efficient solution has been developed. A possible option to increase the viability of the prototypes might be the simplification of the tree structures, and consequently the orchard architecture, to make it "robot-ready." Another option in this perspective is combining several techniques, for accomplishing individual tasks, in one multipurpose robot platform. As a result, the usability and efficiency of the robot increases.

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Design of smart pest control for ornamental plants indoor vertical farming

Rahmawati,

Setiawan,

Hardiwansyah

et al. 2024

AIP Conference Proceedings

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Intelligent automated system based on a fuzzy logic system for plant protection product control in orchards

Cited by 7 publications

References 17 publications

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

Automation and robotics in the cultivation of pome fruit: Where do we stand today?

Design of smart pest control for ornamental plants indoor vertical farming

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