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PhytoOracle

PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.
It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.
PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.

Documentation

See detailed documentation here for instruction manuals.

Supported Sensors and Pipelines

For more information on types and description of each camera used, access the documentation above.

Resources

License

PhytoOracle is licensed under the MIT License.

Issues and Questions

Need help? Found a bug? Raise an issue on our github page here.

For specific workflows and adapting a pipeline for your own work contact:

  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu

  • Michele Cosi: cosi [at] email.arizona.edu

For plant detection and plant clustering:

  • Travis Simmons: travis.simmons [at] ccga.edu

For the orthomosaicing algorithm:

  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu

Acknowledgements

This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.

This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.

About

Distributive pipelines for phenomic data analysis

phytooracle.readthedocs.io/en/latest/

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MIT license
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13 stars

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8 watching

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26 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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PhytoOracle
PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.

It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.

PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.
Documentation
See detailed documentation here for instruction manuals.
Supported Sensors and Pipelines
For more information on types and description of each camera used, access the documentation above.
Resources
License
PhytoOracle is licensed under the MIT License.
Issues and Questions
Need help? Found a bug? Raise an issue on our github page here.
For specific workflows and adapting a pipeline for your own work contact:
  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu
  • Michele Cosi: cosi [at] email.arizona.edu
For plant detection and plant clustering:
  • Travis Simmons: travis.simmons [at] ccga.edu
For the orthomosaicing algorithm:
  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu
Acknowledgements
This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.
This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.
About
Distributive pipelines for phenomic data analysis
phytooracle.readthedocs.io/en/latest/
Resources
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13 stars
Watchers
8 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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BranchesTags
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PhytoOracle
PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.

It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.

PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.
Documentation
See detailed documentation here for instruction manuals.
Supported Sensors and Pipelines
For more information on types and description of each camera used, access the documentation above.
Resources
License
PhytoOracle is licensed under the MIT License.
Issues and Questions
Need help? Found a bug? Raise an issue on our github page here.
For specific workflows and adapting a pipeline for your own work contact:
  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu
  • Michele Cosi: cosi [at] email.arizona.edu
For plant detection and plant clustering:
  • Travis Simmons: travis.simmons [at] ccga.edu
For the orthomosaicing algorithm:
  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu
Acknowledgements
This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.
This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.
About
Distributive pipelines for phenomic data analysis
phytooracle.readthedocs.io/en/latest/
Resources
Readme
MIT license
Activity
Custom properties
Stars
13 stars
Watchers
8 watching
Forks
26 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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PhytoOracle
PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.

It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.

PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.
Documentation
See detailed documentation here for instruction manuals.
Supported Sensors and Pipelines
For more information on types and description of each camera used, access the documentation above.
Resources
License
PhytoOracle is licensed under the MIT License.
Issues and Questions
Need help? Found a bug? Raise an issue on our github page here.
For specific workflows and adapting a pipeline for your own work contact:
  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu
  • Michele Cosi: cosi [at] email.arizona.edu
For plant detection and plant clustering:
  • Travis Simmons: travis.simmons [at] ccga.edu
For the orthomosaicing algorithm:
  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu
Acknowledgements
This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.
This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.
About
Distributive pipelines for phenomic data analysis
phytooracle.readthedocs.io/en/latest/
Resources
Readme
MIT license
Activity
Custom properties
Stars
13 stars
Watchers
8 watching
Forks
26 forks
Report repository
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Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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PhytoOracle
PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.

It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.

PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.
Documentation
See detailed documentation here for instruction manuals.
Supported Sensors and Pipelines
For more information on types and description of each camera used, access the documentation above.
Resources
License
PhytoOracle is licensed under the MIT License.
Issues and Questions
Need help? Found a bug? Raise an issue on our github page here.
For specific workflows and adapting a pipeline for your own work contact:
  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu
  • Michele Cosi: cosi [at] email.arizona.edu
For plant detection and plant clustering:
  • Travis Simmons: travis.simmons [at] ccga.edu
For the orthomosaicing algorithm:
  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu
Acknowledgements
This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.
This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.
About
Distributive pipelines for phenomic data analysis
phytooracle.readthedocs.io/en/latest/
Resources
Readme
MIT license
Activity
Custom properties
Stars
13 stars
Watchers
8 watching
Forks
26 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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PhytoOracle
PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.

It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.

PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.
Documentation
See detailed documentation here for instruction manuals.
Supported Sensors and Pipelines
For more information on types and description of each camera used, access the documentation above.
Resources
License
PhytoOracle is licensed under the MIT License.
Issues and Questions
Need help? Found a bug? Raise an issue on our github page here.
For specific workflows and adapting a pipeline for your own work contact:
  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu
  • Michele Cosi: cosi [at] email.arizona.edu
For plant detection and plant clustering:
  • Travis Simmons: travis.simmons [at] ccga.edu
For the orthomosaicing algorithm:
  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu
Acknowledgements
This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.
This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.
About
Distributive pipelines for phenomic data analysis
phytooracle.readthedocs.io/en/latest/
Resources
Readme
MIT license
Activity
Custom properties
Stars
13 stars
Watchers
8 watching
Forks
26 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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PhytoOracle
PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.

It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.

PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.
Documentation
See detailed documentation here for instruction manuals.
Supported Sensors and Pipelines
For more information on types and description of each camera used, access the documentation above.
Resources
License
PhytoOracle is licensed under the MIT License.
Issues and Questions
Need help? Found a bug? Raise an issue on our github page here.
For specific workflows and adapting a pipeline for your own work contact:
  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu
  • Michele Cosi: cosi [at] email.arizona.edu
For plant detection and plant clustering:
  • Travis Simmons: travis.simmons [at] ccga.edu
For the orthomosaicing algorithm:
  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu
Acknowledgements
This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.
This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.
About
Distributive pipelines for phenomic data analysis
phytooracle.readthedocs.io/en/latest/
Resources
Readme
MIT license
Activity
Custom properties
Stars
13 stars
Watchers
8 watching
Forks
26 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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PhytoOracle
PhytoOracle is a scalable, distributed workflow manager for analyzing highthroughput phenotyping data.

It is designed to process data from the UA Gantry, but can be adapted to work on data coming from other platforms.

PhytoOracle uses a master-worker framework for distributed computing (HPC, Cloud, etc.) and can run jobs on nearly all unix-like environments.
Documentation
See detailed documentation here for instruction manuals.
Supported Sensors and Pipelines
For more information on types and description of each camera used, access the documentation above.
Resources
License
PhytoOracle is licensed under the MIT License.
Issues and Questions
Need help? Found a bug? Raise an issue on our github page here.
For specific workflows and adapting a pipeline for your own work contact:
  • Emmanuel Gonzalez: emmanuelgonzalez [at] email.arizona.edu
  • Michele Cosi: cosi [at] email.arizona.edu
For plant detection and plant clustering:
  • Travis Simmons: travis.simmons [at] ccga.edu
For the orthomosaicing algorithm:
  • Ariyan Zarei: ariyanzarei [at] email.arizona.edu
Acknowledgements
This project partially built on code initially developed by the TERRA-REF project and AgPipeline team. We thank the University of Arizona Advanced Cyberinfrastrcture Concept class of 2019 for additional work.
This material based upon work supported by Cyverse & CCTools. Cyverse is based upon work supported by the National Science Foundation under Grant Numbers: DBI-0735191, DBI-1265383, DBI-1743442. CCTools is based upon work supported by the National Science Foundation under Grant Numbers: CCF-0621434 and CNS-0643229.
About
Distributive pipelines for phenomic data analysis
phytooracle.readthedocs.io/en/latest/
Resources
Readme
MIT license
Activity
Custom properties
Stars
13 stars
Watchers
8 watching
Forks
26 forks
Report repository
Releases
Packages
Contributors
Languages