A fast and easy method for predicting agricultural waste compost maturity by image-based deep learning

Bioresource Technology
Wei XueYangchun Xu


Large amounts of agricultural wastes are generated in agricultural production, and composting this waste is one of the best ways to recycle resources. Compost maturity is an important criterion for measuring the quality of compost-products. Biochemical tests are conventional methods to evaluate compost maturity, but they are time consuming and difficult to perform. Therefore, convolutional neural networks (CNNs) were introduced to realize fast evaluation of compost maturity by analyzing images of different composting stages. Images of 3 different composting materials were collected to build 4 data sets, which included nearly 30,000 images, and a series of experiments were performed on them. The accuracy of proposed method was 99.7%, 99.4%, 99.7% and 99.5% on the 4 test sets, respectively. Experimental results demonstrate that the proposed CNN-based prediction model produces state of the art results and can be used to predict compost maturity during the composting process.

Related Concepts

Diagnostic Imaging
Biochemical Test
Biological Neural Networks
Research Study

Trending Feeds


Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Neural Activity: Imaging

Imaging of neural activity in vivo has developed rapidly recently with the advancement of fluorescence microscopy, including new applications using miniaturized microscopes (miniscopes). This feed follows the progress in this growing field.

The Tendon Seed Network

Tendons are rich in the extracellular matrix and are abundant throughout the body providing essential roles including structure and mobility. The transcriptome of tendons is being compiled to understand the micro-anatomical functioning of tendons. Discover the latest research pertaining to the Tendon Seed Network here.

Myocardial Stunning

Myocardial stunning is a mechanical dysfunction that persists after reperfusion of previously ischemic tissue in the absence of irreversible damage including myocardial necrosis. Here is the latest research.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.


Incretins are metabolic hormones that stimulate a decrease in glucose levels in the blood and they have been implicated in glycemic regulation in the remission phase of type 1 diabetes. Here is the latest research.

Chromatin Regulation and Circadian Clocks

The circadian clock plays an important role in regulating transcriptional dynamics through changes in chromatin folding and remodelling. Discover the latest research on Chromatin Regulation and Circadian Clocks here.

Long COVID-19

“Long Covid-19” describes illness in patients who are reporting long-lasting effects of the SARS-CoV-19 infection, often long after they have recovered from acute Covid-19. Ongoing health issues often reported include low exercise tolerance and breathing difficulties, chronic tiredness, and mental health problems such as post-traumatic stress disorder and depression. This feed follows the latest research into Long Covid.

Spatio-Temporal Regulation of DNA Repair

DNA repair is a complex process regulated by several different classes of enzymes, including ligases, endonucleases, and polymerases. This feed focuses on the spatial and temporal regulation that accompanies DNA damage signaling and repair enzymes and processes.

Related Papers

BioRxiv : the Preprint Server for Biology
Shori NishimotoAkira Funahashi
IEEE Transactions on Pattern Analysis and Machine Intelligence
Liuhao GeDaniel Thalmann
IEEE Transactions on Neural Networks and Learning Systems
Heyuan ShiJiaguang Sun
© 2021 Meta ULC. All rights reserved