Robotic Seeding: Economic Perspectives

Pedersen, Søren Marcus; Fountas, Spyros; Sørensen, Claus G.; Evert, F.K. van; Blackmore, B. S.

doi:10.1007/978-3-319-68715-5_8

Cited by 22 publications

(13 citation statements)

References 6 publications

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“…• Studies on grain, oilseeds, cotton and other commodity crops-Most of the automation/ robotics economics studies focused on horticultural crops. Sørensen et al (2005), Pedersen et al (2006Pedersen et al ( ), (2008 and Pedersen et al (2017) focused on sugar beet. Sørensen et al (2005), Pedersen et al (2006), Gaus et al (2017) and Shockley and Dillon (2018) estimated some benefits for cereals.…”

Section: Discussionmentioning

confidence: 99%

“…The profitability of robots for early seeding and reseeding of sugar beets was estimated by Pedersen et al (2017). Early seeding is a possibility with small robotic equipment because it is relatively light weight and could be in the field when it is too wet for conventional machinery.…”

Section: Autonomous Operations Consideredmentioning

confidence: 99%

“…The early seeding and reseeding of sugar beets analysed by Pedersen et al (2017) is an example of farming operations which are not feasible with conventional equipment, but would be possible with autonomous machines. Spot reseeding sugar beet maybe useful because of poor germination or because newly emerged plants are destroyed by flooding, rodents or other problems.…”

Section: Autonomous Operations Consideredmentioning

confidence: 99%

“…A small robot would be able to do the reseeding while minimizing crushing or otherwise injuring the rest of the crop. Pedersen et al (2017) assumed that spot reseeding increased overall yield by 5%. Under that assumption, the gross margin increased about €81/ha, or about 6.5%.…”

Section: Autonomous Operations Consideredmentioning

confidence: 99%

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Economics of robots and automation in field crop production

et al. 2019

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This study reviewed research published after 1990 on the economics of agricultural mechatronic automation and robotics, and identified research gaps. A systematic search was conducted from the following databases: ScienceDirect, Business Source Complete, Wiley, Emerald, CAB Abstract, Greenfile, Food Science Source and AgEcon Search. This identified 4817 documents. The screening of abstracts narrowed the range to a dataset of 119 full text documents. After eligibility assessment, 18 studies were subjected to a qualitative analysis, with ten focused on automation of specific horticultural operations and eight related to autonomous agricultural equipment. All of the studies found some scenarios in which automation and robotic technologies were profitable. Most studies employed partial budgeting considering only costs and revenues directly changed by the introduction of automation or robotics and assuming everything else constant. None examined cropping system changes, or regional and national impacts on markets, trade and labour demand. The review identified a need for in-depth research on the economic implications of the technology. Most of the studies reviewed estimated economic implications assuming that technology design parameters were achieved and/or based on data from prototypes. Data are needed on the benefits and problems with using automation and robotics on farm. All of the studies reviewed were in the context of agriculture in developed countries, but many of the world's most pressing agricultural problems are in the developing world. Economic and social research is needed to understand those developing country problems, and guide the engineers and scientists creating automation and robotic solutions.

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Section: Discussionmentioning

confidence: 99%

Section: Autonomous Operations Consideredmentioning

confidence: 99%

Section: Autonomous Operations Consideredmentioning

confidence: 99%

Section: Autonomous Operations Consideredmentioning

confidence: 99%

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Economics of robots and automation in field crop production

et al. 2019

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“…Marinoudi et al [ 1 ] presented the effects of using robots in agriculture, including short- and medium-term impacts on jobs, and technological inputs, and presented a framework of studies to assess the impact of robotic applications on the food production process. Pedersen et al [ 2 , 3 ] state that in order to build a robotic solution, a system analysis should be carried out, which should include operational aspects, costs, and benefits of the designed machine. The designed robotic system should meet the following requirements: it should be low in weight, small in size, have a high level of intelligence, communication, and safety, and be effectively adaptable to a potential task [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

The Concept of the Constructional Solution of the Working Section of a Robot for Harvesting Strawberries

Kurpaska

Bielecki

Sobol

et al. 2021

Sensors

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Strawberry fruits are products of high commercial and consumption value, and, at the same time, they are difficult to harvest due to their very low mechanical strength and difficulties in identifying them within the bush. Therefore, robots collecting strawberries should be equipped with four subsystems: a video object detection system, a collecting arm, a unit for the reception and possible packaging of the fruit, and a traction system unit. This paper presents a concept for the design and operation of the working section of a harvester for strawberry fruit crops grown in rows or beds, in open fields, and/or under cover. In principle, the working section of the combine should meet parameters comparable with those of manually harvested strawberries (efficiency, quality of harvested fruit) and minimise contamination in the harvested product. In order to meet these requirements, in the presented design concept, it was assumed that these activities would be performed during harvesting with the natural distribution of fruits within the strawberry bush, and the operation of the working head arm maneuvering in the vicinity of the picked fruit, the fruit receiving unit, and other obstacles was developed on the basis of image analysis, initially general, and in detail in the final phase. The paper also discusses the idea of a vision system in which the algorithm used has been positively tested to identify the shapes of objects, and due to the similarity of space, it can be successfully used for the correct location of strawberry fruit.

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