Agricultural Robotics: A Promising Challenge

Albiero, Daniel

doi:10.12944/carj.7.1.01

Cited by 19 publications

(98 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This is because of the diversity of articles and the range of disciplines analysed. For example, some of the papers were in social science journals, but there were also some in engineering and computer science journals (Aggarwal and Singh 2021;Albiero 2019;Krishnan and Swarna 2020;Marinoudi et al 2019;Shamshiri et al 2018). Not surprisingly, the articles by social scientists and ethicists had the greatest emphasis on social and ethical themes, which can be illustrated in Table 2 (Gardezi and Stock 2021;Rose et al 2021;Ryan 2020Ryan , 2019Sparrow and Howard 2020;Stock and Gardezi 2021).…”

Section: Methodsmentioning

confidence: 98%

“…One of the themes that kept arising within the literature was sustainability (Albiero 2019;Bogomolov et al 2021;Krishnan and Swarna 2020;Ruiz-Real et al 2020;Vasconez et al 2019). Sustainability is a very important concern for farmers and the agricultural sector, and deploying AI must be able to not only meet current sustainability achievements, but surpass them (Ryan 2019).…”

Section: Sustainabilitymentioning

confidence: 99%

See 1 more Smart Citation

The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature

Ryan

2022

AI & Soc

View full text Add to dashboard Cite

This paper will examine the social and ethical impacts of using artificial intelligence (AI) in the agricultural sector. It will identify what are some of the most prevalent challenges and impacts identified in the literature, how this correlates with those discussed in the domain of AI ethics, and are being implemented into AI ethics guidelines. This will be achieved by examining published articles and conference proceedings that focus on societal or ethical impacts of AI in the agri-food sector, through a thematic analysis of the literature. The thematic analysis will be divided based on the classifications outlined through 11 overarching principles, from an established lexicon (transparency, justice and fairness, non-maleficence, responsibility, privacy, beneficence, freedom and autonomy, trust, dignity, sustainability, and solidarity). While research on AI agriculture is still relatively new, this paper aims to map the debate and illustrate what the literature says in the context of social and ethical impacts. It aim is to analyse these impacts, based on these 11 principles. This research will contrast which impacts are not being discussed in agricultural AI and which issues are not being discussed in AI ethics guidelines, but which are discussed in relation to agricultural AI. The aim of this is to identify gaps within the agricultural literature, and gaps in AI ethics guidelines, that may need to be addressed.

show abstract

Section: Methodsmentioning

confidence: 98%

Section: Sustainabilitymentioning

confidence: 99%

The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature

Ryan

2022

AI & Soc

View full text Add to dashboard Cite

show abstract

“…Robots are not new in agriculture; there is much research being developed, some of them very advanced, and already with real applications in the field, agricultural robotics is an overwhelming trend (D. Albiero, 2019). Wolfert et al (2017) describe these advances in Agriculture 4.0, which in farming is called Smart Farming.…”

Section: Related Workmentioning

confidence: 99%

“…He comes up against the current socio-economic situation of agricultural fields in western nations (Brazil among them) (D. Albiero et al, 2019;D. Albiero et al, 2015;D. Albiero, 2019): Tractor operators are scarce, and their costs (wages, charges, taxes, training, and insurance) are relatively high.…”

Section: Introductionmentioning

confidence: 99%

Swarm Robots in Mechanized Agricultural Operations: Roadmap for Research

Albiero

García

Umezu

et al. 2020

Anais Do Congresso Brasileiro De Automática 2020

Self Cite

View full text Add to dashboard Cite

Agricultural mechanization is an area of knowledge that has evolved a lot over the past century, its main actors being agricultural tractors that, in 100 years, have increased their powers by 3,300%. This evolution has resulted in an exponential increase in the field capacity of such machines. However, it has also generated negative results such as excessive consumption of fossil fuel, excessive weight on the soil, very high operating costs, and millionaire acquisition value. This paper aims to present an antiparadigmatic alternative in this area. It is proposing a swarm of small electric robotic tractors that together have the same field capacity as a large tractor with an internal combustion engine. A comparison of costs and field capacity between a 270 kW tractor and a swarm of ten swarm tractors of 24 kW each was carried out. The result demonstrated a wide advantage for the small robot team. It was also proposed the preliminary design of an electric swarm robot tractor. Finally, research challenges were suggested to operationalize such a proposal, calling on the Brazilian Robotics Research Community to elaborate a roadmap for research in the area of swarm robot for mechanized agricultural operations.

show abstract

“…Modern agriculture worldwide has evidenced the issue of lack of human labor to carry out operations related to planting, cultivation, and especially harvesting horticultural products. This is a technical, social, and demographic problem (Marinoudi et al, 2019) and is essentially linked to the pressing need to develop machines that can replace human work efficiently and effectively as it were carried out by human hands (Albiero, 2019;Albiero et al, 2020;Melo et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties of lettuce (Lactuca sativa L.) for horticultural machinery design

Xavier

Galvão

Rodrigues

et al. 2022

Sci. agric. (Piracicaba, Braz.)

Self Cite

View full text Add to dashboard Cite

Currently, there is a growing need to develop machines that replace human work efficiently and effectively in horticulture with the same sensibility of the human hand, since horticultural foods are notably very fragile to handle and process, especially considering machinery and systems. This work aimed to determine the mechanical properties of lettuce (Lactuca sativa L.) variety Crispa. For that, two methodologies were used in the field of material engineering: one specific for polymers and composites -the standard ASTM D3039 -Standard test method for tensile properties of polymer matrix composite materials (ASTM, 2002a) and the other specific for plastic films -the ASTM 882 -Standard test method for tensile properties of thin plastic sheeting (ASTM, 2002b). The tests were adapted for lettuce samples. The mechanical properties for the leaf and stem of head lettuce (var. Crispa) were obtained with appropriate statistical rigor, which can be considered valid initial estimates for dimensioning mechanisms and systems of machines for horticultural works specialized in lettuce. These properties provide fundamental engineering parameters to design machine elements that interact with biological materials, allowing to develop devices that generate minor damage to biological structures in lettuce.

show abstract

Agricultural Robotics: A Promising Challenge

Cited by 19 publications

References 6 publications

The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature

The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature

Swarm Robots in Mechanized Agricultural Operations: Roadmap for Research

Mechanical properties of lettuce (Lactuca sativa L.) for horticultural machinery design

Contact Info

Product

Resources

About