Seed Mapping of Sugar Beet

Griepentrog, Hans W.; Nørremark, Michael; Nielsen, H.; Blackmore, Simon

doi:10.1007/s11119-005-1032-5

Cited by 57 publications

(29 citation statements)

References 2 publications

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“…Research has been conducted with higher spatial resolutions for targeting individual plants [27]. These advanced systems aim at sensing individual plant status and stresses and at targeting mechanical treatments and inputs in small dose rates adapted to individual crop plant needs (Plant Scale Husbandry) [7,8].…”

Section: Field Operations and Applicationsmentioning

confidence: 99%

Robots for Field Operations with Comprehensive Multilayer Control

2013

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Today research within agricultural technology focuses beside productivity and operation costs mainly on increasing the resource efficiency of crop production. Autonomous machines have the potential to significantly contribute to this by utilizing more multi-factorial real-time sensing and embedding artificial intelligence. A multilayer controller has successfully been implemented on two outdoor machines with various implements to conduct several agricultural applications in autonomous mode. Future work has to be conducted to achieve a more integrated and flexible implement control.

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Section: Field Operations and Applicationsmentioning

confidence: 99%

Robots for Field Operations with Comprehensive Multilayer Control

2013

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“…As the seed drops, it cuts the infrared beam and triggers a data logger that records the indicated position and orientation of the seeder. A simple kinematic model can then calculate the actual seed position (Griepentrog et al, 2005). Another interesting application is microspraying, in which a spray boom is applied at the centimeter level.…”

Section: Robotics In Agriculturementioning

confidence: 99%

Emerging Footprint Technologies in Agriculture, from Field to Farm Gate

Fountas

Bartzanas

Bochtis

2011

Intelligent Agrifood Chains and Networks

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During the last few years, the agricultural sector has been through a critical phase, having been seriously affected by several factors. At an international level the agreements of the International Trade Organization and at a European level the new Common Agricultural Policy have resulted in problems with the competitiveness of agricultural products and the necessity for improvements in production methods of safe, healthy, high-quality products that are also in accordance with the objective of environmental protection.The agricultural sector is currently benefiting from a wide range of new information and communication technology (ICT) tools that are helping improve the flow of information in the real-time management of agricultural crops. New technologies to enhance the precision and automation of crop management are continuously being developed, tested and evaluated. The tools of precision agriculture and other information technologies should move into mainstream agricultural management when they are sufficiently developed and incorporated into the production chain. These technologies are paving the way for the reversal of the current trend towards heavy-machinery systems, replacing them with teams of smaller field robots. In this view of the future, fleet management will maintain its key role in maximizing overall efficiency, which it will achieve by optimizing the selection, dispatching and in-field coordination of these teams. This chapter describes advanced technologies and methods that can provide an efficient integrated in-field production system that will meet the objectives of product quality, resource usage, economic feasibility and environmental impact. Chapter sections include precision agriculture, field robotics, radio frequency identification (RFID) technology, automated data recording and fleet management. PRECISION AGRICULTUREPrecision agriculture (PA) can be defined as the management of spatial and temporal variability to improve economic returns and reduce environmental impact. This can be achieved through using appropriate technologies within a coherent management structure. The technology provides the tools and management decides how the tools should be used. PA uses these new technologies to reduce the unit area of treatment from, in some cases, the farm down to field or even sub-field level.Intelligent Agrifood Chains and Networks, First Edition. Edited by Michael Bourlakis, Ilias Vlachos and Vasileios Zeimpekis.

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Section: Seed Mappingmentioning

confidence: 99%

A Specification for an Autonomous Crop Production Mechanization System

Blackmore¹,

Griepentrog²,

Fountas³

et al. 2009

Acta Hortic.

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This paper describes the specification of requirements and the functionality, of a novel agricultural mechanisation system based on small smart machines. It separates the current mechanisation methods from the original plant requirements and in doing so allows a new specification to develop based on agronomic, economic and environmental needs that can lead to a more sustainable production system. Three main groups of field operations have been identified; Crop establishment, Plant care and Selective harvesting. Each process and operation brings its own challenges and opportunities. The resulting framework should give the basis for mechanisation well into the 21 st century.

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Seed Mapping of Sugar Beet

Cited by 57 publications

References 2 publications

Robots for Field Operations with Comprehensive Multilayer Control

Robots for Field Operations with Comprehensive Multilayer Control

Emerging Footprint Technologies in Agriculture, from Field to Farm Gate

A Specification for an Autonomous Crop Production Mechanization System

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