@inproceedings{b7ce513f09244622a7bb7a55d977f715,
title = "Estimating Soil Organic Carbon from Multispectral Images Using Physics-Informed Neural Networks",
abstract = "Understanding the amount of Soil Organic Carbon (SOC) at farm and field scale is a necessary precursor to effective management, important for both agricultural productivity and to reduce CO2 emissions. To avoid the prohibitive cost of measurement, SOC can be estimated by using multispectral images. In this study, we propose a novel Physics-Informed Convolutional Neural Network (CNN) to model well-known but noisy relationship between a soil index and SOC using the network{\textquoteright}s loss function. This study is also conducted by resampling the European Land Use/Classification Area Survey (LUCAS) dataset to Sentinel-2 bands. Our experimental results show that our proposed network converges more quickly, has a lower root mean squared error (RMSE) and is more robust (as measured by the standard deviation of RMSE over multiple trials) than a compatible standard CNN. The operation of the novel Physics-Informed CNN is explained in terms of the components of the loss function.",
keywords = "Multispectral Images, Physics-Informed Neural Network, Soil Organic Carbon",
author = "James Sargeant and {Wei Teng}, Shyh and Manzur Murshed and Manoranjan Paul and David Brennan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 17th Asian Conference on Computer Vision, ACCV 2024 ; Conference date: 08-12-2024 Through 12-12-2024",
year = "2025",
doi = "10.1007/978-981-96-0963-5_22",
language = "English",
isbn = "9789819609628",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "366--383",
editor = "Minsu Cho and Ivan Laptev and Du Tran and Angela Yao and Hongbin Zha",
booktitle = "Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings",
address = "Germany",
}