Prediction of compost physicochemical properties using image-based feature extraction and machine learning.
Saved in:
| Title: | Prediction of compost physicochemical properties using image-based feature extraction and machine learning. |
|---|---|
| Authors: | Nayak A; Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India., Rowles LS; Department of Civil Engineering & Construction, Georgia Southern University, Statesboro, GA, USA., Echols T; Department of Civil Engineering & Construction, Georgia Southern University, Statesboro, GA, USA., Bakaric B; Department of Civil Engineering & Construction, Georgia Southern University, Statesboro, GA, USA., Rowland C; Department of Civil Engineering & Construction, Georgia Southern University, Statesboro, GA, USA., Kinard C; Department of Civil Engineering & Construction, Georgia Southern University, Statesboro, GA, USA., Barnett T; Department of Civil Engineering & Construction, Georgia Southern University, Statesboro, GA, USA., Kodolkar SS; Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India., Jhanwar S; Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India., Moonka R; Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India., Chakraborty S; Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India., Weindorf DC; School of Earth, Environment, and Sustainability, Georgia Southern University, Statesboro, GA, USA. Electronic address: dweindorf@georgiasouthern.edu. |
| Source: | Waste management (New York, N.Y.) [Waste Manag] 2026 Jul 23; Vol. 224, pp. 115769. Date of Electronic Publication: 2026 Jul 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 9884362 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2456 (Electronic) Linking ISSN: 0956053X NLM ISO Abbreviation: Waste Manag Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
