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"Toward sustainable compost use: Prediction of organic matter via smartphone image analysis" with Dr. David C. Weindorf
Compost needs to be regularly tested to ensure labels regarding organic matter, nutrients, and more remain accurate. However, getting compost tested is time- and cost-intensive. This episode, Dr. Weindorf joins me to discuss how developing a model to predict organic matter from cell phone pictures might make this process a whole lot easier.
Tune in to learn:
· Which factors best correlated with organic matter
· How the team collected 157 different compost samples
· How application can affect the acceptable window for success on accuracy
· What camera-related factors affected the methods and results
If you would like more information about this topic, this episode's paper is available here: https://doi.org/10.1002/agj2.70121
It will be freely available from August 15-August 31, 2025.
Contact us at [email protected] or on Twitter @FieldLabEarth if you have comments, questions, or suggestions for show topics, and if you want more content like this don't forget to subscribe. If you'd like to see old episodes or sign up for our newsletter, you can do so here: https://fieldlabearth.libsyn.com/.
If you would like to reach out to David, you can find him here: [email protected] https://www.linkedin.com/in/david-c-weindorf-43875b110/
Resources
CEU Quiz: https://web.sciencesocieties.org/Learning-Center/Courses/Course-Detail?productid=%7b91295D26-E579-F011-B4CC-000D3A599510%7d
Transcripts: https://www.rev.com/app/transcript/Njg5ZTBjNDZjMjFjM2ZlZThkNTdhYmJiWEhIRXQ0eUl3WlRi/o/VEMwMzgxNjg4NTA4
Compost Research and Education Foundation: https://www.compostfoundation.org/
Agronomy Journal: https://acsess.onlinelibrary.wiley.com/journal/14350645
Compost Science and Utilization: https://www.tandfonline.com/journals/ucsu20
Waste Management: https://www.sciencedirect.com/journal/waste-management
Field, Lab, Earth is Copyrighted by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.
 By ASA, CSSA, SSSA
By ASA, CSSA, SSSA4.4
2727 ratings
"Toward sustainable compost use: Prediction of organic matter via smartphone image analysis" with Dr. David C. Weindorf
Compost needs to be regularly tested to ensure labels regarding organic matter, nutrients, and more remain accurate. However, getting compost tested is time- and cost-intensive. This episode, Dr. Weindorf joins me to discuss how developing a model to predict organic matter from cell phone pictures might make this process a whole lot easier.
Tune in to learn:
· Which factors best correlated with organic matter
· How the team collected 157 different compost samples
· How application can affect the acceptable window for success on accuracy
· What camera-related factors affected the methods and results
If you would like more information about this topic, this episode's paper is available here: https://doi.org/10.1002/agj2.70121
It will be freely available from August 15-August 31, 2025.
Contact us at [email protected] or on Twitter @FieldLabEarth if you have comments, questions, or suggestions for show topics, and if you want more content like this don't forget to subscribe. If you'd like to see old episodes or sign up for our newsletter, you can do so here: https://fieldlabearth.libsyn.com/.
If you would like to reach out to David, you can find him here: [email protected] https://www.linkedin.com/in/david-c-weindorf-43875b110/
Resources
CEU Quiz: https://web.sciencesocieties.org/Learning-Center/Courses/Course-Detail?productid=%7b91295D26-E579-F011-B4CC-000D3A599510%7d
Transcripts: https://www.rev.com/app/transcript/Njg5ZTBjNDZjMjFjM2ZlZThkNTdhYmJiWEhIRXQ0eUl3WlRi/o/VEMwMzgxNjg4NTA4
Compost Research and Education Foundation: https://www.compostfoundation.org/
Agronomy Journal: https://acsess.onlinelibrary.wiley.com/journal/14350645
Compost Science and Utilization: https://www.tandfonline.com/journals/ucsu20
Waste Management: https://www.sciencedirect.com/journal/waste-management
Field, Lab, Earth is Copyrighted by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.

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