Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Auto-encoder Convolut?onal Neural Network (AECNN) for Apple Fruit Flower Detection Subject The topic of the resource Auto-encoder convolutional neural network (AECNN); Fully convolutional network (FCN); Graphics processing unit (GPU); Local binary pattern (LBP) Description An account of the resource The yield estimation task altogether relies upon the way toward identifying and checking the quantity of fruits on trees. In production of fruit, basic yield the board choices are guided through the bloom frequency, i.e., the quantity of the flowers that are present in a plantation. The intensity of bloom technique is still commonly assessed by methods for human visual investigation. Mechanized PC vision frameworks for flower recognizable proof depend closely on designed procedures which function just under explicit conditions and with restricted execution. This work comprises four significant advances, (I) system preparing for Fully Convolutional Network (FCN), (ii) preprocessing, (iii) component extraction, (iv) division. Initially, a strategy for assessing high-resolution pictures with deep FCN on Graphics Processing Unit (GPU). Then, non-linear and linear algorithms are presented for lessening the image noise, so the exact flower identification can be ensured. The next phase of the work handles the highlight extraction for diminishing the quality of the prime assets which are needed for handling without compromising on data applicable. By applying Local Binary Pattern (LBP), surface example likelihood can be summed up into a histogram. At last, isolate an image with high resolution into sub patches, assess all patches with the help of AECNN, at that point apply the refinement calculation on acquired score maps to figure out the final version of the mask segmentation. Trial results are led utilizing two datasets on flower pictures of AppleA and AppleB. Results are estimated regarding the measurements like Precision (P) and Recall (R). The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Rajagopal M.; Sathesh Kumar K.; Nagaraja P.; Sivasakthivel R.; Sivaraman G. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-395 SIST, pp. 95-104. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-5081-8_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-5081-8_9</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208634952&amp;doi=10.1007%2F978-981-97-5081-8_9&amp;partnerID=40&amp;md5=12ad843aad71ba35ed771e5d6ec8b445" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208634952&amp;doi=10.1007%2f978-981-97-5081-8_9&amp;partnerID=40&amp;md5=12ad843aad71ba35ed771e5d6ec8b445</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981975080-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajagopal M., Lean Operations and Systems, School of Business and Management, Christ (Deemed to be University), Bangalore, India; Sathesh Kumar K., Computer Science and Engineering, Alliance College of Engineering and Design, Alliance University, Central Campus, Anekal, Main Road, Karnataka, Bangalore, India; Nagaraja P., Department of Computer Science, GITAM School of Sciences, GITAM (Deemed to be University), Bangalore, India; Sivasakthivel R., Department of Computer Science, School of Sciences, Chr?st (Deemed to be University), Bangalore, India; Sivaraman G., Department of Computer Science, M.G.R. College, Tamil Nadu, Hosur, India