CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications
This paper presents a modular and holistic Precision Agriculture platform, named CoFly, incorporating custom-developed AI and ICT technologies with pioneering functionalities in a UAV-agnostic system. Cognitional operations of micro Flying vehicles are utilized for data acquisition incorporating adv...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023001103 |
| _version_ | 1797679448248549376 |
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| author | Emmanuel K. Raptis Konstantinos Englezos Orfeas Kypris Marios Krestenitis Athanasios Ch. Kapoutsis Konstantinos Ioannidis Stefanos Vrochidis Elias B. Kosmatopoulos |
| author_facet | Emmanuel K. Raptis Konstantinos Englezos Orfeas Kypris Marios Krestenitis Athanasios Ch. Kapoutsis Konstantinos Ioannidis Stefanos Vrochidis Elias B. Kosmatopoulos |
| author_sort | Emmanuel K. Raptis |
| collection | DOAJ |
| description | This paper presents a modular and holistic Precision Agriculture platform, named CoFly, incorporating custom-developed AI and ICT technologies with pioneering functionalities in a UAV-agnostic system. Cognitional operations of micro Flying vehicles are utilized for data acquisition incorporating advanced coverage path planning and obstacle avoidance functionalities. Photogrammetric outcomes are extracted by processing UAV data into 2D fields and crop health maps, enabling the extraction of high-level semantic information about seed yields and quality. Based on vegetation health, CoFly incorporates a pixel-wise processing pipeline to detect and classify crop health deterioration sources. On top of that, a novel UAV mission planning scheme is employed to enable site-specific treatment by providing an automated solution for a targeted, on-the-spot, inspection. Upon the acquired inspection footage, a weed detection module is deployed, utilizing deep-learning methods, enabling weed classification. All of these capabilities are integrated inside a cost-effective and user-friendly end-to-end platform functioning on mobile devices. CoFly was tested and validated with extensive experimentation in agricultural fields with lucerne and wheat crops in Chalkidiki, Greece showcasing its performance. |
| first_indexed | 2024-03-11T23:14:45Z |
| format | Article |
| id | doaj.art-afea9b95738e4c788a918b78cad0fddc |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-11T23:14:45Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-afea9b95738e4c788a918b78cad0fddc2023-09-21T04:37:19ZengElsevierSoftwareX2352-71102023-07-0123101414CoFly: An automated, AI-based open-source platform for UAV precision agriculture applicationsEmmanuel K. Raptis0Konstantinos Englezos1Orfeas Kypris2Marios Krestenitis3Athanasios Ch. Kapoutsis4Konstantinos Ioannidis5Stefanos Vrochidis6Elias B. Kosmatopoulos7Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, 67100, Greece; Information Technologies Institute, The Centre for Research & Technology, Hellas, Thessaloniki, 57001, GreeceiKnowHow SA, Athens, 11526, Greece; Corresponding author.iKnowHow SA, Athens, 11526, GreeceInformation Technologies Institute, The Centre for Research & Technology, Hellas, Thessaloniki, 57001, GreeceInformation Technologies Institute, The Centre for Research & Technology, Hellas, Thessaloniki, 57001, GreeceInformation Technologies Institute, The Centre for Research & Technology, Hellas, Thessaloniki, 57001, GreeceInformation Technologies Institute, The Centre for Research & Technology, Hellas, Thessaloniki, 57001, GreeceDepartment of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, 67100, Greece; Information Technologies Institute, The Centre for Research & Technology, Hellas, Thessaloniki, 57001, GreeceThis paper presents a modular and holistic Precision Agriculture platform, named CoFly, incorporating custom-developed AI and ICT technologies with pioneering functionalities in a UAV-agnostic system. Cognitional operations of micro Flying vehicles are utilized for data acquisition incorporating advanced coverage path planning and obstacle avoidance functionalities. Photogrammetric outcomes are extracted by processing UAV data into 2D fields and crop health maps, enabling the extraction of high-level semantic information about seed yields and quality. Based on vegetation health, CoFly incorporates a pixel-wise processing pipeline to detect and classify crop health deterioration sources. On top of that, a novel UAV mission planning scheme is employed to enable site-specific treatment by providing an automated solution for a targeted, on-the-spot, inspection. Upon the acquired inspection footage, a weed detection module is deployed, utilizing deep-learning methods, enabling weed classification. All of these capabilities are integrated inside a cost-effective and user-friendly end-to-end platform functioning on mobile devices. CoFly was tested and validated with extensive experimentation in agricultural fields with lucerne and wheat crops in Chalkidiki, Greece showcasing its performance.http://www.sciencedirect.com/science/article/pii/S2352711023001103UAVsPrecision agriculturePower efficient solutionsRemote sensing applications |
| spellingShingle | Emmanuel K. Raptis Konstantinos Englezos Orfeas Kypris Marios Krestenitis Athanasios Ch. Kapoutsis Konstantinos Ioannidis Stefanos Vrochidis Elias B. Kosmatopoulos CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications SoftwareX UAVs Precision agriculture Power efficient solutions Remote sensing applications |
| title | CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications |
| title_full | CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications |
| title_fullStr | CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications |
| title_full_unstemmed | CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications |
| title_short | CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications |
| title_sort | cofly an automated ai based open source platform for uav precision agriculture applications |
| topic | UAVs Precision agriculture Power efficient solutions Remote sensing applications |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023001103 |
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