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Canopeo Web

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  • v 2.0
  • About
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Canopeo is a rapid and accurate green canopy cover measurement tool. Use this app to quantify the percent canopy cover of live green vegetation for any agricultural crop, turf, or grassland based on downward-facing photos taken with your mobile device.

We are team that wants to help people in agriculture by developing decision-support tools that transcend the realm of academic research so that you can do something awesome with them. This project is possible due to the combined efforts of the Division of Agricultural Sciences and Natural Resources, the OSU App Center, and the Soil Physics research group at Oklahoma State University.

Whether you have a suggestion, want to contribute with the Canopeo project, or simply want to tell us how much you love Canopeo, please send as a message to canopeoapp@gmail.com


Oklahoma State University Department of Plant and Soil Sciences 374 AGH, Stillwater, OK 74078

Contact us for licensing if you are interested in using Canopeo Software at your company.

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Support Us

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Please consider making a donation to support the Canopeo App. Your donation is tax deductible and will be used to improve services offered to end users.

How do I donate?

Give online by clicking here and include "Canopeo" in the comments box.

OR

Mail a check made out to the Oklahoma State University Foundation to:

   Oklahoma State University Foundation
   P.O. Box 1749
   Stillwater, OK 74076-1749

In the memo section, indicate Fund 21-26800 Canopeo

Have more questions?

Please contact the Oklahoma State University Foundation:

phone 800-622-4678 email info@OSUgiving.com

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How to Use it

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Research

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  1. Reference manuscript: Patrignani, A. and Ochsner, T.E., 2015. Canopeo: A powerful new tool for measuring fractional green canopy cover . Agronomy Journal, 107(6), pp.2312-2320. Link (Open access)

  2. Lollato, R., Patrignani, A., Ochsner, T.E., Rocatelli, A., Tomlinson, P. and Edwards, J.T., 2015. Improving grazing management using a smartphone app. Link (Open access)

  3. González-Esquiva, J.M., Oates, M.J., García-Mateos, G., Moros-Valle, B., Molina-Martínez, J.M. and Ruiz-Canales, A., 2017. Development of a visual monitoring system for water balance estimation of horticultural crops using low cost cameras. Computers and Electronics in Agriculture, 141, pp.15-26. Link

  4. Yellareddygari, S.K.R. and Gudmestad, N.C., 2017. Bland-Altman comparison of two methods for assessing severity of Verticillium wilt of potato. Crop Protection, 101, pp.68-75. Link

  5. Chung, Y.S., Choi, S.C., Silva, R.R., Kang, J.W., Eom, J.H. and Kim, C., 2017. Case study: Estimation of sorghum biomass using digital image analysis with Canopeo. Biomass and Bioenergy, 105, pp.207-210. Link

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Research

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  1. Reference manuscript: Patrignani, A. and Ochsner, T.E., 2015. Canopeo: A powerful new tool for measuring fractional green canopy cover . Agronomy Journal, 107(6), pp.2312-2320. Link (Open access)

  2. Lollato, R., Patrignani, A., Ochsner, T.E., Rocatelli, A., Tomlinson, P. and Edwards, J.T., 2015. Improving grazing management using a smartphone app. Link (Open access)

  3. González-Esquiva, J.M., Oates, M.J., García-Mateos, G., Moros-Valle, B., Molina-Martínez, J.M. and Ruiz-Canales, A., 2017. Development of a visual monitoring system for water balance estimation of horticultural crops using low cost cameras. Computers and Electronics in Agriculture, 141, pp.15-26. Link

  4. Yellareddygari, S.K.R. and Gudmestad, N.C., 2017. Bland-Altman comparison of two methods for assessing severity of Verticillium wilt of potato. Crop Protection, 101, pp.68-75. Link

  5. Chung, Y.S., Choi, S.C., Silva, R.R., Kang, J.W., Eom, J.H. and Kim, C., 2017. Case study: Estimation of sorghum biomass using digital image analysis with Canopeo. Biomass and Bioenergy, 105, pp.207-210. Link

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