&amp;lt;i&amp;gt;Sensorsystems in German dairy Farming – Aspects of hardware design and sustainability&amp;lt;/i&amp;gt;Introduction

Bauerdick, Josef; Treiber, Maximilian; Höhendinger, Martin; Hijazi, Omar; Schlereth, Natascha; Bernhardt, Heinz

doi:10.13031/aim.201900739

Cited by 3 publications

(1 citation statement)

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“…Bauerdick et al [52] state that four distinct aspects cause sensor detriment on farms; these are humidity, coldness, heat, and corrosion. When placing a sensor inside a silage stack, all factors will influence the sensors.…”

Section: Hardware Development and Sensor Protectionmentioning

confidence: 99%

System Design and Validation of a Wireless Sensor Monitoring System in Silage

2022

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Silages have become the main feed for ruminants and biogas production and are often stored in large stacks. When a silo is filled, a plastic cover is laid out and fermentation begins. From this moment, the entire silo becomes a black box for farmers: if any spoilage due to air breaches takes place, it often will only be recognized when the stack is opened and massive losses have already occurred. In the present work, a wireless sensor monitoring system for silage stacks is designed that shall detect changes in the silage environment until feedout and can therefore enable the farmer to prevent biomass losses. The nail-shaped node design offers elevated feed safety opportunities and can be easily removed before feedout. For data transmission, LoRaWAN is used in combination with a hardware-based timer. The sensor nodes are able to endure the full extent of a silage stack storage period in a full-scale silage test of approximately 40 weeks without battery shortage. The resulting measurements show that CO2, O2, relative humidity and temperature sensors at the silage surface can detect changes within the silage environment due to air breach. Temperatures in stable regions beneath 40 cm can be detected and give information about long-term stability.

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Section: Hardware Development and Sensor Protectionmentioning

confidence: 99%

System Design and Validation of a Wireless Sensor Monitoring System in Silage

2022

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Assessing farmers' perception to Agriculture 4.0 technologies: A new interval‐valued spherical fuzzy sets based approach

Erdoğan

2021

Int J of Intelligent Sys

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Agriculture 4.0 is the usage of advanced technologies for ensuring sustainability and efficient use of resources in agriculture, which can be accepted one of the biggest challenges of mankind. With Agriculture 4.0 technologies, it is aimed to raise productivity, reduce waste and costs. To ensure that agriculture 4.0 technologies are adopted by farmers as soon as possible, the perspective and perception of farmers to these technologies should be analyzed firstly. For this purpose, we propose a decision-making framework to measure farmers' view of Agriculture 4.0 technologies and to perform a prioritization study based on the perception of use among these technologies. Multicriteria decision analysis is also utilized to deal with all qualitative and quantitative factors in the decision process. Within the scope of this study, interval-valued spherical fuzzy numbers are used to model the vagueness in the process in the best manner and to be able to reflect the uncertainty arising from the usage of linguistic variables in the decision process. The SWARA and MAIRCA multicriteria decision making (MCDM) methods, which have been used frequently in the literature and are applied very successfully in MCDM problems, have been firstly extended by spherical fuzzy sets (SFSs) and the advantages for these methods have been utilized within the framework of

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