Automatic control of farming operations based on spatial web services

Kaivosoja, Jere; Jackenkroll, Markus; Linkolehto, Raimo; Weis, Martin; Gerhards, Roland

doi:10.1016/j.compag.2013.11.003

Cited by 31 publications

(11 citation statements)

References 13 publications

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“…An automatic control of farming operations, based on spatial web services is presented in [12]. The authors developed a task controller (TC) prototype with an ISOBUS-compatible process data messages able to use external web services.…”

Section: Related Work and Limitationsmentioning

confidence: 99%

Cloud-Based Architecture for Farm Management

Mocanu

Cristea

Negru

et al. 2015

2015 20th International Conference on Control Systems and Computer Science

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Cloud Computing technologies can fundamentally contribute to business processes in agriculture, through enhancing traditional farm management systems, by integrating processes like, monitoring, operation farm management, with cloud specific capabilities, which will lead to an increased productivity. Based on this idea we propose, in this paper, a cloud-based architecture that helps creating an integrated intelligent system for improving product quality and business development in the farms field. Farmers cloud access diverse set of information and data related to his farm, in an integrated and unified approach in order to take informed decisions or to be supported in decision taking process.

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Section: Related Work and Limitationsmentioning

confidence: 99%

Cloud-Based Architecture for Farm Management

Mocanu

Cristea

Negru

et al. 2015

2015 20th International Conference on Control Systems and Computer Science

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“…It is also hypothesised that the integration of optimisation algorithms could allow for some decisions to be made automatically. Kaivosoja et al (2014) focused on an aspect of FMIS by creating a system to interpret external data and construct an up-to-date work plan for a machine executing a spraying operation. Information was gathered pertaining to temporal and spatial conditions that place restrictions on the execution of the operation, such as current wind and rain, weather forecasts, pesticide alarms, information from aerial systems, in-field sensors, and advisory recommendations.…”

Section: Farm Management Information Systemmentioning

confidence: 99%

Field Readiness and Operation Scheduling

Edwards

2015

Field Readiness and Operation Scheduling

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Knowing the readiness of a field for an agricultural operation is an important factor when creating seasonal and daily operational plans. To insure an efficient use of resources farm managers and agricultural contractors must make difficult decisions and must often rely on a "gut feeling". A large amount of information may be available, such as meteorically and geographical data, however this must be filtered and converted in to actionable knowledge in order for it to be useful. In this paper, a participatory approach is used to develop a concept of a Decision Support System (DSS) to make recommendations as to when a field is ready for an agricultural operation. Soft Systems Methodology (SSM) is used to clarify the current situation, which is inherently difficult to model due to the organic nature of the system and subjective opinions of those involved. The result of the SSM is a model that is the direct outcome of the experience of farm managers and agricultural contractors, and that can further be understood by computer scientists. The system of the proposed DSS is described in terms of the feasible datasets required and the inter relationships between the datasets, as well as suggestions of the level of detail of data. The proposed DSS is aimed to either operate as a stand-alone system taking direct inputs, or under a larger Farm Management Information System (FMIS) framework.

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“…The authors developed a prototype task controller for data exchange, according to the IOBUS standard, using external web services [1].…”

Section: State Of the Artmentioning

confidence: 99%

Soil Management Services in CLUeFARM

Serrouch

Mocanu

Pop

2015

2015 14th International Symposium on Parallel and Distributed Computing

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Proper use of land require tools to handle each parcel both in a individual manner, as regard to the activities rolled out on it, and as part of a farm or greenhouse containing several parcels, in order to plan and harness the results of all activities in a farm or greenhouse. The paper presents services related to soil management, within a platform that provides integrated support for greenhouse activities, which are subject of CLUeFARM research project (Information system based on cloud services, accessible through mobile devices, for quality improvement of products and business development în farms).

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Automatic control of farming operations based on spatial web services

Cited by 31 publications

References 13 publications

Cloud-Based Architecture for Farm Management

Cloud-Based Architecture for Farm Management

Field Readiness and Operation Scheduling

Soil Management Services in CLUeFARM

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