Systematic planning and cultivation of agricultural fields using a geo-spatial arable field optimization service: Opportunities and obstacles

Bruin, S. de; Lerink, P.; Riviere, I.J. la; Vanmeulebrouk, B.

doi:10.1016/j.biosystemseng.2013.07.009

Cited by 9 publications

(6 citation statements)

References 23 publications

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“…Swaths are generated in the inner field, which is the remaining region after subtracting the headlands. In two-dimensional planar fields, a reference line can be applied as a guide for the generation of swaths, where each parallel creates a swath [5], [17], [18]. This line can be chosen for convenience or by an algorithm such as brute force or a meta-heuristic.…”

Section: A Related Workmentioning

confidence: 99%

Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural Vehicles

Mier

Valente

Bruin

2023

IEEE Robot. Autom. Lett.

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This paper describes Fields2Cover 1 , a novel open source library for coverage path planning (CPP) for agricultural vehicles. While there are several CPP solutions nowadays, there have been limited efforts to unify them into an open source library and provide benchmarking tools to compare their performance. Fields2Cover provides a framework for planning coverage paths, developing novel techniques, and benchmarking state-ofthe-art algorithms. The library features a modular and extensible architecture that supports various vehicles and can be used for a variety of applications, including farms. Its core modules are: a headland generator, a swath generator, a route planner and a path planner. An interface to the Robot Operating System (ROS) is also supplied as an add-on. In this paper, the functionalities of the library for planning a coverage path in agriculture are demonstrated using 8 state-of-the-art methods and 7 objective functions in simulation and field experiments.

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Section: A Related Workmentioning

confidence: 99%

Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural Vehicles

Mier

Valente

Bruin

2023

IEEE Robot. Autom. Lett.

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“…Little research has been focused on web-based simulation tools for field operations. de Bruin et al (2014) developed a web service for systematic planning and cultivation of agricultural fields. It can help farmers to optimize the spatial configuration of swath in the main cultivated area with the objective of maximizing the balance between the costs of losses of cropping area versus subsidy received for field margins.…”

Section: Online Simulation Modelsmentioning

confidence: 99%

Simulation Modelling for In-field Planning of Sequential Machinery Operations in Cropping Systems

Zhou

2015

Simulation Modelling for in-Field Planning of Sequential Machinery Operations in Cropping Systems

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First and foremost, my sincerest gratitude goes to my principal supervisor Dr. Allan Leck Jensen for his continuous support of my PhD study and research, for his patience, encouragement, enthusiasm, and broad knowledge. His guidance helped me in all the time of research and writing of this thesis. I could not have imagined having a better supervisor for my PhD study. I would like to express my sincerest gratitude to my co-supervisor Dr. Dionysis Bochtis, who offered his continuous advice and help throughout the course of my PhD research. I thank him for the systematic guidance to train me in the scientific field. My thanks also extend to Dr. Claus Aage Grøn Sørensen for his valuable help and discussion on the PhD research. I deliver my thanks to all the colleagues and friends that I have met in this beautiful country, Denmark, for their support and kindness. Without you, this journey would not have been possible.

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“…All the above said frameworks are based on SOA implementation in which the developed services can be accessed over a network and can be combined and reused in web application. These services used for communication with each other by exchanging data in a shared and well defined format or managing activities between two or more services (Bruin et al, 2014).…”

Section: Online Geo-processing and Web Service Standardsmentioning

confidence: 99%

“…Some important works have been done by using online geoprocessing such as the shortest path between two points (PML: Shortest path), systematic planning and cultivation of agricultural fields (Bruin et al, 2014), ecological modeling and forecasting, forecast the impact of climate change on protected areas (Dubois et al, 2013) ,process geospatial data such as NDVI calculation on different computing backend (Giuliani et al, 2012 ), Geostatistical computing and INTAMAP: The design and implementation of an interoperable automated interpolation web service (Pebesma et al, 2011 ), thematic map generation (Rautenbach et al, 2013 ) and Forecasting biomes of protected areas (Skoien et al,2011 ) etc.…”

Section: Online Geo-processing and Web Service Standardsmentioning

confidence: 99%

Geospatial data sharing, online spatial analysis and processing of Indian Biodiversity data in Internet GIS domain – A case study for raster based online geo-processing

Karnatak

Pandey

Oberai

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:National Biodiversity Characterization at Landscape Level, a project jointly sponsored by Department of Biotechnology and Department of Space, was implemented to identify and map the potential biodiversity rich areas in India. This project has generated spatial information at three levels viz. Satellite based primary information (Vegetation Type map, spatial locations of road & village, Fire occurrence); geospatially derived or modelled information (Disturbance Index, Fragmentation, Biological Richness) and geospatially referenced field samples plots. The study provides information of high disturbance and high biological richness areas suggesting future management strategies and formulating action plans. The study has generated for the first time baseline database in India which will be a valuable input towards climate change study in the Indian Subcontinent.The spatial data generated during the study is organized as central data repository in Geo-RDBMS environment using PostgreSQL and POSTGIS. The raster and vector data is published as OGC WMS and WFS standard for development of web base geoinformation system using Service Oriented Architecture (SOA). The WMS and WFS based system allows geo-visualization, online query and map outputs generation based on user request and response. This is a typical mashup architecture based geo-information system which allows access to remote web services like ISRO Bhuvan, Openstreet map, Google map etc., with overlay on Biodiversity data for effective study on Bio-resources.The spatial queries and analysis with vector data is achieved through SQL queries on POSTGIS and WFS-T operations. But the most important challenge is to develop a system for online raster based geo-spatial analysis and processing based on user defined Area of Interest (AOI) for large raster data sets. The map data of this study contains approximately 20 GB of size for each data layer which are five in number. An attempt has been to develop system using python, PostGIS and PHP for raster data analysis over the web for Biodiversity conservation and prioritization. The developed system takes inputs from users as WKT, Openlayer based Polygon geometry and Shape file upload as AOI to perform raster based operation using Python and GDAL/OGR. The intermediate products are stored in temporary files and tables which generate XML outputs for web representation. The raster operations like clip-zip-ship, class wise area statistics, single to multi-layer operations, diagrammatic representation and other geo-statistical analysis are performed. This is indigenous geospatial data processing engine developed using Open system architecture for spatial analysis of Biodiversity data sets in Internet GIS environment. The performance of this applications in multi-user environment like Internet domain is another challenging task which is addressed by fine tuning the source code, server hardening, spatial indexing and running the process in load balance mode. The developed system is hosted in Internet domain (http://bis.ii...

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Systematic planning and cultivation of agricultural fields using a geo-spatial arable field optimization service: Opportunities and obstacles

Cited by 9 publications

References 23 publications

Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural Vehicles

Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural Vehicles

Simulation Modelling for In-field Planning of Sequential Machinery Operations in Cropping Systems

Geospatial data sharing, online spatial analysis and processing of Indian Biodiversity data in Internet GIS domain – A case study for raster based online geo-processing

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