Smart action

Dusadeerungsikul, Puwadol Oak; Liakos, V.; Morari, Francesco; Nof, Shimon Y.; Bechar, Avital

doi:10.1016/b978-0-12-818373-1.00005-6

Cited by 10 publications

(2 citation statements)

References 73 publications

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“…Over the last three decades different technologies and applications based on the spatial information in the fields have been developed. They now allow farmers to observe their fields with frequently updated maps that allow timely decisions on production inputs (e.g., fertiliser, water, seeds, pesticides) according to the specific (in time and space) requirements of the plants [1][2][3][4][5]. Automated guidance systems for tractors, in-field sensors for the monitoring of crops and soil, and maps generated by using data collected by satellites are part of the growing sector of precision agriculture, smart farming, digital agriculture or agriculture 4.0 [6].…”

Section: Introductionmentioning

confidence: 99%

Drivers and Barriers Influencing the Willingness to Adopt Technologies for Variable Rate Application of Fertiliser in Lower Austria

et al. 2021

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Even though a broad range of technologies for variable rate application of nitrogen fertiliser is available, there are hardly any documented cases of their use in Austria. In this study, the drivers and barriers of adoption have been investigated. A survey of 242 farmers in Lower Austria was conducted. The survey covered the farmers’ economic situation, concerns, and expectations regarding the future of their farms and their interest in precision farming technologies. A choice experiment was included in the survey to elicit farmers’ preferences for different features of variable rate application technologies. A series of multinomial logit, mixed logit and latent class logit models were run to analyze the choice experiment. Most farmers were interested in variable rate application, whereas technology costs, yield and environmental improvements were found to be important drivers of adoption. Also, farm size, farming system, technological level and network activities seem to play an important role in the uptake of variable rate application technologies.

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Section: Introductionmentioning

confidence: 99%

Drivers and Barriers Influencing the Willingness to Adopt Technologies for Variable Rate Application of Fertiliser in Lower Austria

et al. 2021

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“…Transportation directly impacts products' quality, especially perishable products. For example, a longer transportation time can negatively affect the freshness of commodities [1] as their qualities deteriorate over time [2]. On the other hand, a fast transportation method typically incurred a high cost of operation.…”

Section: Fresh Fruit Transportationmentioning

confidence: 99%

Multi-Compartment Vehicle Loading and Route Optimization: Case for Exporting Thai Fresh Fruits

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

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Multi-compartment vehicles have been currently utilized in fresh fruit transportation because of their ability to consolidate perishable products without mixing them in the same chamber. In addition, each compartment can be set to a specific temperature to prolong the shelf-life of fruits. Nevertheless, the challenge of fruit transportation is to create an optimal route for vehicles, taking both transportation cost and fruit quality into account. The reason is that the quality of fruits has deteriorated when they are transported by the longer time options (which are typically less expensive). Therefore, an optimal vehicle route needs to balance transportation cost and fresh fruit quality. This article has developed a mathematical model for multicompartment vehicle loading and transportation routing to address such challenges. The model aims to minimize total transportation costs while maintaining the quality of fruits at the destination. The model has been validated using data from fresh fruit exports from Talaad-Thai (Thailand) to Nanning (China). Results indicate that desired quality at the destination directly impacts route decisions and total transportation cost. Meanwhile, the model reduces the number of vehicles required when multi-compartment vehicles are used instead of single-compartment vehicles.

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Internet of Things (IoT) and Sensors Technologies in Smart Agriculture: Applications, Opportunities, and Current Trends

Mehmood

Ahmed

Afzal

et al. 2021

Building Climate Resilience in Agriculture

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Smart action

Cited by 10 publications

References 73 publications

Drivers and Barriers Influencing the Willingness to Adopt Technologies for Variable Rate Application of Fertiliser in Lower Austria

Drivers and Barriers Influencing the Willingness to Adopt Technologies for Variable Rate Application of Fertiliser in Lower Austria

Multi-Compartment Vehicle Loading and Route Optimization: Case for Exporting Thai Fresh Fruits

Internet of Things (IoT) and Sensors Technologies in Smart Agriculture: Applications, Opportunities, and Current Trends

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