Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/578944
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-07-26T06:55:19Z-
dc.date.available2024-07-26T06:55:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/578944-
dc.description.abstractThe state of global food security is currently at a crucial point, as it is being newlinesignificantly endangered by the decreasing numbers of vital pollinators, including newlinebees, butterflies, birds, and bats. The importance of pollinators in agriculture is newlineimmense; they play a crucial role in increasing genetic diversity within plant newlinepopulations, strengthening their ability to withstand environmental difficulties, and newlinedirectly raising agricultural productivity. The declining population of indigenous newlinepollinators presents a significant threat to the long-term viability of agriculture. newlinePollinator population declines result in decreased agricultural yields, inferior newlineproduce, and crops with reduced nutritional value. newlineIn the midst of this problem, the utilization of Unmanned Aerial Vehicles newline(UAVs) presents a hopeful resolution. By developing Unmanned Aerial Vehicle newline(UAV) systems for pollination, we can alleviate the consequences of the pollinator newlineissue. Unmanned Aerial Vehicles (UAVs) offer a substitute for traditional pollination newlinemethods, decreasing the requirement for labour-intensive manual pollination or newlinereliance on chemical-based remedies. This study centres on the cucurbitaceous plant newlinefamily, encompassing vital crops such as cucumber, melon, pumpkin, squash, and newlinezucchini, which play a significant role in sustaining millions of people globally. The newlinecucurbitaceous family is intriguing due to the abundance of monoecious types, newlinewhich have both male and female blooms on the same plant newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Effective Flower Recognition Using UAV with Optimal Path Planning in Artificial Pollination
dc.title.alternative
dc.creator.researcherMithra, S
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideNaga Malleswari, T Y J
dc.publisher.placeKattankulathur
dc.publisher.universitySRM Institute of Science and Technology
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File190.8 kBAdobe PDFView/Open
02_preliminary page.pdf666.82 kBAdobe PDFView/Open
03_content.pdf216.67 kBAdobe PDFView/Open
04_abstract.pdf259.38 kBAdobe PDFView/Open
05_chapter 1.pdf736.29 kBAdobe PDFView/Open
06_chapter 2.pdf405.6 kBAdobe PDFView/Open
07_chapter 3.pdf1.44 MBAdobe PDFView/Open
08_chapter 4.pdf1.39 MBAdobe PDFView/Open
09_chapter 5.pdf1.6 MBAdobe PDFView/Open
10_chapter 6.pdf266.27 kBAdobe PDFView/Open
11_annexures.pdf448.21 kBAdobe PDFView/Open
80_recommendation.pdf322.35 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: