{"id":{"repo_id":"cornell","oai_identifier":"oai:ecommons.cornell.edu:1813/33547"},"canonical_url":"https://search.dev.ndltd.org/etd/cornell/oai:ecommons.cornell.edu:1813/33547","repository":{"repo_id":"cornell","name":"Cornell University","base_url":"https://ecommons.cornell.edu/server/oai/request"},"display":{"title":"Computational Canopy Models For Precision Measurement And Adaptive Management Of Grapevine Performance","abstract":"Effective control of winegrape fruit quality requires the simultaneous consideration of multiple response models including: the relationship between the chemical profile of harvested fruit and the organoleptic qualities of a finished wine; a mechanistic understanding of key flavor and aroma compound biosynthesis; and the role of physical vineyard parameters in these biosynthetic processes. Any attempt to predictably influence the performance of a winegrape cropping system, with respect to flavor and aroma, requires the ability to both measure the relevant physical parameters of that system and to accurately manipulate them to achieve a deliberate and quantitative response. Although the sub-discipline of precision viticulture has established that a quantitative understanding of plot-scale spatial variability can guide cultural inputs toward plot-scale consistency, the existence and small-scale spatial patterns and their effect on precision management have not been extensively studied. The experiments presented here were designed to: 1) improve the precision and increase the spatial resolution of commonly used viticultural research methods with the goal of identifying, characterizing and quantifying small-scale spatial patterns in fruiting-zone of winegrape canopies; 2) explore the impact of small-scale spatial structure on the efficacy of common plot-level cultural inputs; 3) develop methods for optimizing vineyard research and commercial production operations within known parametric spatial patterns at multiple scales; and, 4) explore the potential application of these methods in the control of a specific sunlight-sensitive compound vital to the organoleptic qualities of Riesling wine. The development and application of new computational methods for managing both the data volume of high-resolution models and the combinatorial complexities of multi-objective vineyard optimization, resulted in: new quantitative metrics for describing fruit-zone sunlight regimes; the discovery and quantification of small-scale culturally-induced microclimatic spatial patterns; the discovery that small-scale spatial patterns can negatively impact the efficacy of plotscale cultural inputs; and an enhanced understanding of the relationship between canopy microclimatic variability and concentrations of C13-norisoprenoids in Riesling grapes. To date, the software tools developed within the scope of dissertation have been adopted by researchers and winegrape growers in a dozen countries and 14 U.S. states for use in the study and optimization of crop performance and fruit metabolite profiles.","abstract_html":"Effective control of winegrape fruit quality requires the simultaneous consideration of multiple response models including: the relationship between the chemical profile of harvested fruit and the organoleptic qualities of a finished wine; a mechanistic understanding of key flavor and aroma compound biosynthesis; and the role of physical vineyard parameters in these biosynthetic processes. Any attempt to predictably influence the performance of a winegrape cropping system, with respect to flavor and aroma, requires the ability to both measure the relevant physical parameters of that system and to accurately manipulate them to achieve a deliberate and quantitative response. Although the sub-discipline of precision viticulture has established that a quantitative understanding of plot-scale spatial variability can guide cultural inputs toward plot-scale consistency, the existence and small-scale spatial patterns and their effect on precision management have not been extensively studied. The experiments presented here were designed to: 1) improve the precision and increase the spatial resolution of commonly used viticultural research methods with the goal of identifying, characterizing and quantifying small-scale spatial patterns in fruiting-zone of winegrape canopies; 2) explore the impact of small-scale spatial structure on the efficacy of common plot-level cultural inputs; 3) develop methods for optimizing vineyard research and commercial production operations within known parametric spatial patterns at multiple scales; and, 4) explore the potential application of these methods in the control of a specific sunlight-sensitive compound vital to the organoleptic qualities of Riesling wine. The development and application of new computational methods for managing both the data volume of high-resolution models and the combinatorial complexities of multi-objective vineyard optimization, resulted in: new quantitative metrics for describing fruit-zone sunlight regimes; the discovery and quantification of small-scale culturally-induced microclimatic spatial patterns; the discovery that small-scale spatial patterns can negatively impact the efficacy of plotscale cultural inputs; and an enhanced understanding of the relationship between canopy microclimatic variability and concentrations of C13-norisoprenoids in Riesling grapes. To date, the software tools developed within the scope of dissertation have been adopted by researchers and winegrape growers in a dozen countries and 14 U.S. states for use in the study and optimization of crop performance and fruit metabolite profiles.","abstract_has_math":false,"creators":["Meyers, James"],"institution":"Cornell University","degree_name":"Ph. D., Horticultural Biology","degree_level":"Doctor of Philosophy","degree_discipline":"Horticultural Biology","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":["Wilcox, Wayne Frank","Sacks, Gavin Lavi","Van Es, Harold Mathijs"],"year":2011,"date_issued":"2011-01-31","date_published":"2011-01-31","updated_at":"2026-07-24T01:49:08Z","subjects":["light interception","canopy management","sampling strategies","heurustics","Riesling","norisprenoids"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1813/33547","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Wilcox, Wayne Frank","Sacks, Gavin Lavi","Van Es, Harold Mathijs"]},{"key":"dc:creator","label":"Author","values":["Meyers, James"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2013-07-23T18:23:41Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-06-01T06:15:50Z"]},{"key":"dc:date.issued","label":"Date","values":["2011-01-31"]},{"key":"dc:type","label":"Dc Type","values":["dissertation or thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Horticultural Biology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Doctor of Philosophy"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph. 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Any attempt to predictably influence the performance of a winegrape cropping system, with respect to flavor and aroma, requires the ability to both measure the relevant physical parameters of that system and to accurately manipulate them to achieve a deliberate and quantitative response. Although the sub-discipline of precision viticulture has established that a quantitative understanding of plot-scale spatial variability can guide cultural inputs toward plot-scale consistency, the existence and small-scale spatial patterns and their effect on precision management have not been extensively studied. The experiments presented here were designed to: 1) improve the precision and increase the spatial resolution of commonly used viticultural research methods with the goal of identifying, characterizing and quantifying small-scale spatial patterns in fruiting-zone of winegrape canopies; 2) explore the impact of small-scale spatial structure on the efficacy of common plot-level cultural inputs; 3) develop methods for optimizing vineyard research and commercial production operations within known parametric spatial patterns at multiple scales; and, 4) explore the potential application of these methods in the control of a specific sunlight-sensitive compound vital to the organoleptic qualities of Riesling wine. The development and application of new computational methods for managing both the data volume of high-resolution models and the combinatorial complexities of multi-objective vineyard optimization, resulted in: new quantitative metrics for describing fruit-zone sunlight regimes; the discovery and quantification of small-scale culturally-induced microclimatic spatial patterns; the discovery that small-scale spatial patterns can negatively impact the efficacy of plotscale cultural inputs; and an enhanced understanding of the relationship between canopy microclimatic variability and concentrations of C13-norisoprenoids in Riesling grapes. To date, the software tools developed within the scope of dissertation have been adopted by researchers and winegrape growers in a dozen countries and 14 U.S. states for use in the study and optimization of crop performance and fruit metabolite profiles."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Computational Canopy Models For Precision Measurement And Adaptive Management Of Grapevine Performance"]}]}],"canonical_facts":{"dc:contributor.committeemember":["Wilcox, Wayne Frank","Sacks, Gavin Lavi","Van Es, Harold Mathijs"],"dc:creator":["Meyers, James"],"dc:date.accessioned":["2013-07-23T18:23:41Z"],"dc:date.available":["2016-06-01T06:15:50Z"],"dc:date.issued":["2011-01-31"],"dc:description.abstract":["Effective control of winegrape fruit quality requires the simultaneous consideration of multiple response models including: the relationship between the chemical profile of harvested fruit and the organoleptic qualities of a finished wine; a mechanistic understanding of key flavor and aroma compound biosynthesis; and the role of physical vineyard parameters in these biosynthetic processes. Any attempt to predictably influence the performance of a winegrape cropping system, with respect to flavor and aroma, requires the ability to both measure the relevant physical parameters of that system and to accurately manipulate them to achieve a deliberate and quantitative response. Although the sub-discipline of precision viticulture has established that a quantitative understanding of plot-scale spatial variability can guide cultural inputs toward plot-scale consistency, the existence and small-scale spatial patterns and their effect on precision management have not been extensively studied. The experiments presented here were designed to: 1) improve the precision and increase the spatial resolution of commonly used viticultural research methods with the goal of identifying, characterizing and quantifying small-scale spatial patterns in fruiting-zone of winegrape canopies; 2) explore the impact of small-scale spatial structure on the efficacy of common plot-level cultural inputs; 3) develop methods for optimizing vineyard research and commercial production operations within known parametric spatial patterns at multiple scales; and, 4) explore the potential application of these methods in the control of a specific sunlight-sensitive compound vital to the organoleptic qualities of Riesling wine. The development and application of new computational methods for managing both the data volume of high-resolution models and the combinatorial complexities of multi-objective vineyard optimization, resulted in: new quantitative metrics for describing fruit-zone sunlight regimes; the discovery and quantification of small-scale culturally-induced microclimatic spatial patterns; the discovery that small-scale spatial patterns can negatively impact the efficacy of plotscale cultural inputs; and an enhanced understanding of the relationship between canopy microclimatic variability and concentrations of C13-norisoprenoids in Riesling grapes. To date, the software tools developed within the scope of dissertation have been adopted by researchers and winegrape growers in a dozen countries and 14 U.S. states for use in the study and optimization of crop performance and fruit metabolite profiles."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/1813/33547"],"dc:language.iso":["en_US"],"dc:subject":["light interception","canopy management","sampling strategies","heurustics","Riesling","norisprenoids"],"dc:title":["Computational Canopy Models For Precision Measurement And Adaptive Management Of Grapevine Performance"],"dc:type":["dissertation or thesis"],"thesis:degree_discipline":["Horticultural Biology"],"thesis:degree_level":["Doctor of Philosophy"],"thesis:degree_name":["Ph. D., Horticultural Biology"],"thesis:institution_name":["Cornell University"]},"updated_at":"2026-07-24T01:49:08Z"}