Agricultural unmanned ground vehicles: A review from the stability point of
            view

Fernandes, Hugo R.; Polania, Edna Carolina Moriones; García, Ángel Pontín; Mendoza, Oscar Barrero; Albiero, Daniel

doi:10.5935/1806-6690.20200092

Cited by 4 publications

(2 citation statements)

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“…Modern agricultural robots can provide more than just traditional machinery substitution (land preparation, sowing, planting, plant treatment, harvesting) [136], such new functions are mapping, insect pest monitoring, artificial pollination, yield estimation and phenotyping [137]. The major problems to be solved in unmanned agricultural vehicles [136] (the market worth of $10Bs) are: navigation [138]; stability [139]; power; data [140]. AV structures could ensure precise navigation and railing to ensure stability of the vehicles, as well as safe piping for irrigation and spraying.…”

Section: Electric and Unmanned Agricultural Vehicles Robotisationmentioning

confidence: 99%

A Mini-Review of Current Activities and Future Trends in Agrivoltaics

Klokov¹,

Loktionov²,

Loktionov³

et al. 2023

Preprint

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Agrivoltaics (Agri-PV, AV) – the joint use of land for the production of agricultural products and energy – has recently been rapidly gaining popularity, as it can significantly increase income per unit of land area. In a broad sense, AV systems can include converters of not only solar, but also energy from any other local renewable source, including bioenergy. Current approach to AV represents an evolutionary development of agroecology and integrated PV power supply to the grid. That results in nearly doubled income per unit area. While AV could provide a basis for revolution in large-scale unmanned precision agriculture and smart farming which is impossible without on-site power supply, chemical fertilisation and pesticides reduction, and yield processing on-site. These approaches could change the logistics and the added value production chain in agriculture dramatically, and so, reduce its carbon footprint. Utilisation of decommissioned solar panels in AV could make the technology twice cheaper and postpone the need for bulk PV recycling. Unlike the mainstream discourse on the topic, this review feature is in focusing on the possibilities for AV to be stronger integrated into agriculture that could also help in relevant legal collisions (considered as neither rather than both components) resolution.

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Section: Electric and Unmanned Agricultural Vehicles Robotisationmentioning

confidence: 99%

A Mini-Review of Current Activities and Future Trends in Agrivoltaics

Klokov¹,

Loktionov²,

Loktionov³

et al. 2023

Preprint

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show abstract

“…Nuevas tecnologías emergentes en la automatización, la robótica y la inteligencia artificial, se han combinado para optimizar la producción agrícola. En la actualidad, vehículos autónomos terrestres y aéreos dirigidos a través del sistema de posicionamiento global (GPS) se ofrecen de manera comercial y experimental, para realizar tareas de fumigación, fertilización, monitoreo, deshierbe y cosecha de cultivos (FAO e ITO, 2018), (Fernandes et al, 2020), (Gonzalez-de Santos et al, 2020), (OECD, 2021), (Mammare-lla et al, 2021). Asimismo, diversos sistemas inteligentes y sensores que permiten la administración estratégica de los recursos aplicados en las cosechas agrícolas, se han propuesto para realizar una agricultura de precisión (Bechtsis et al, 2017), (Naji, 2020), (FAO e ITO, 2021).…”

Section: Introductionunclassified

Detección del nivel de estrés hídrico en plantas de lechuga romana a través de CNN

Bermúdez-Rojas,

Luna-Taylor,

Von-Borstel-Luna

et al. 2023

ICBI

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La agricultura en México enfrenta importantes desafíos en el área del agua. Una alternativa para enfrentar este problema es la implementación de técnicas agrícolas modernas que permitan métodos de agricultura de precisión en invernaderos que puedan producir durante todas las estaciones del año y con un uso más eficiente del agua. Para ello son necesarios sistemas inteligentes que permitan monitorear y controlar los recursos para el crecimiento de las plantas de acuerdo a las condiciones que presenten. Este artículo describe el diseño y entrenamiento de una red neuronal convolucional (CNN) para detectar el grado de deshidratación de plantas de lechuga romana a través de imágenes. Los experimentos muestran una precisión y sensibilidad del modelo del 83% en la identificación del nivel de deshidratación y del 98,8% en ambas métricas, considerando una tolerancia de más/menos un nivel de diferencia con respecto al real.

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Simulation of Agricultural Unmanned Vehicle System During a Virtual Commissioning

Volkhonskaia,

Orlov

2024

Studies in Systems, Decision and Control

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Agricultural unmanned ground vehicles: A review from the stability point of view

Cited by 4 publications

References 0 publications

A Mini-Review of Current Activities and Future Trends in Agrivoltaics

A Mini-Review of Current Activities and Future Trends in Agrivoltaics

Detección del nivel de estrés hídrico en plantas de lechuga romana a través de CNN

Simulation of Agricultural Unmanned Vehicle System During a Virtual Commissioning

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