Automated System for Targeted Spraying in Orchards by Using RGB Imaging

Stajnko, D.; Vindis, P.; Mursec, B.

doi:10.2507/daaam.scibook.2011.23

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…where TP is the time period of ultrasonic echo signals intensity capturing (s); SR is the sampling resolution (samples m -1 ), in our 20 samples m -1 (Stajnko et al, 2011); v is the simulated travel speed of the prototype (ms -1 ). Fig.…”

Section: Sprayer Prototype Operationmentioning

confidence: 99%

Development of Intelligent Automated System for Plant Protection Product Control in Orchards Based on Fuzzy Logic

Stajnko¹,

Rakun²,

Lakota³

et al. 2019

DAAAM International Scientific Book 2019

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Conventional process of plant protection product (hereinafter PPP) used against diseases, fungus, insects and weeds runs with a range of spraying techniques and equipment, such as sprayers, air blasters and foggers. However, in many cases the PPP residues remain in the environment and find their way into food, despite several different models to calculate the correct dosage of PPP. To overcome this problem it is necessary to integrate the tree canopy properties (the density of leaf area) in the model with intelligent automated systems, which enables controlling the amount of spray mixture in orchards. This chapter represents the development of intelligent decision-making model, which operates on the principle of fuzzy logic algorithm and generates the pulse width modulation (hereinafter PWM) signal in real-time.

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Section: Sprayer Prototype Operationmentioning

confidence: 99%

Development of Intelligent Automated System for Plant Protection Product Control in Orchards Based on Fuzzy Logic

Stajnko¹,

Rakun²,

Lakota³

et al. 2019

DAAAM International Scientific Book 2019

View full text Add to dashboard Cite

show abstract

“…For this reason, the accurate positioning system running in orchards is a perfect task for autonomous yield mapping, because the same trees have to be captured by a digital camera year after year (Stajnko et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Automated Location of Tree Position for Estimating Apple Yield by using an Android Mobile Phone

Stajnko¹,

Lakota²,

Vindis³

et al. 2022

DAAAM International Scientific Book

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The accuracy of forecasts depends on the method used and the number of data samples taken in the orchard. An automated system for simple and fast data acquisition consists of an application on a personal computer (PC) for user to create a daily journey through the plantations and export the data to a navigation device. The second part represents an android mobile phone (AMP), which serves for capturing various data, such as positions and images when inspecting the plantations and data. Processing of all collected data runs on a PC, which requires a synchronization of all new, changed or updated data stored in the AMP's database with the database on the PC. After testing the procedure in two successive growing seasons in 245 intensive apple orchards, orchard register inaccuracy and GPS errors were detected as most frequently in the first year. After introducing the automatic discovery of orchards into the procedure, the accuracy of detected position rose from 91.98 % in the first year to 99.99 % in the second.

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Innovative sprayer with optimized sensor-based gap detection for precision application of plant protection products

Overbeck¹,

Pelzer²,

Huhs³

et al. 2019

Acta Hortic.

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Automated System for Targeted Spraying in Orchards by Using RGB Imaging

Cited by 3 publications

References 8 publications

Development of Intelligent Automated System for Plant Protection Product Control in Orchards Based on Fuzzy Logic

Development of Intelligent Automated System for Plant Protection Product Control in Orchards Based on Fuzzy Logic

Automated Location of Tree Position for Estimating Apple Yield by using an Android Mobile Phone

Innovative sprayer with optimized sensor-based gap detection for precision application of plant protection products

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