The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 168852 - 168852
Опубликована: Ноя. 28, 2023
Язык: Английский
The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 168852 - 168852
Опубликована: Ноя. 28, 2023
Язык: Английский
Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124936 - 124936
Опубликована: Март 13, 2025
Язык: Английский
Процитировано
0International Journal of Biometeorology, Год журнала: 2025, Номер unknown
Опубликована: Март 14, 2025
Язык: Английский
Процитировано
0Soil Science Society of America Journal, Год журнала: 2025, Номер 89(3)
Опубликована: Май 1, 2025
Abstract Monitoring soil health is important for sustaining agricultural productivity and ecological integrity around the world. However, current assessment approaches relying on conventional laboratory methods are resource intensive. Mid‐infrared (MIR) spectroscopy offers an opportunity to increase throughput reduce user costs, potentially improving accessibility land managers producers. This study aims develop a high‐throughput, hybridized model tailored diverse landscapes of Hawaiʻi, with potential applicability other subtropical tropical areas. Leveraging newly developed spectral dataset ( n = 634) machine learning methods, we predicted inherent mineralogy intensive use legacy 94.5% 91.4% accuracy, respectively, validated threefold cross‐validation. Additionally, four key indicators: total organic carbon (CCC 0.97), CO 2 burst 0.93), mineralizable nitrogen 0.89), water‐stable mega‐aggregates 0.79). These features were then used predict Hawaiʻi score. Our results demonstrate MIR reshape in by offering rapid, cost‐effective alternative traditional methods. Finally, discuss importance adopting testing framework report that intuitive stakeholders, including local producers managers.
Язык: Английский
Процитировано
0Journal of Cleaner Production, Год журнала: 2023, Номер 426, С. 139160 - 139160
Опубликована: Окт. 7, 2023
Язык: Английский
Процитировано
7Remote Sensing, Год журнала: 2023, Номер 15(22), С. 5304 - 5304
Опубликована: Ноя. 9, 2023
There is a growing realization among policymakers that in order to pave the way for development of evidence-based conservation recommendations policy, it essential improve capacity soil-health monitoring by adopting multidimensional and integrated approaches. However, existing ready-to-use maps are characterized mainly coarse spatial resolution (>200 m) information not up date, making their use insufficient EU’s policy requirements, such as common agricultural policy. This work, utilizing Soil Data Cube, which self-hosted custom tool, provides yearly estimations soil thematic (e.g., exposed soil, organic carbon, clay content) covering all area Lithuania. The pipeline exploits various Earth observation data time series Sentinel-2 satellite imagery (2018–2022), LUCAS (Land Use/Cover Area Frame Statistical Survey) topsoil database, European Integrated Administration Control System (IACS) artificial intelligence (AI) architectures prediction accuracy well (10 m), enabling discrimination at parcel level. Five different models were tested with convolutional neural network (CNN) model achieve best both targeted indicators (SOC clay) related R2 metric (0.51 SOC 0.57 clay). predictions supported uncertainties based on PIR formula (average 0.48 0.61 provide valuable model’s interpretation stability. application final carried out national bare-soil-reflectance composite layers, generated employing pixel-based approach overlaid annual bare-soil using combination vegetation indices NDVI, NBR2, SCL. findings this work new insights generation large scale, leading more efficient sustainable management, supporting agri-food private sector.
Язык: Английский
Процитировано
7The Science of The Total Environment, Год журнала: 2023, Номер 906, С. 167441 - 167441
Опубликована: Сен. 28, 2023
Язык: Английский
Процитировано
6AL-HAYAT Journal of Islamic Education, Год журнала: 2024, Номер 8(1), С. 323 - 323
Опубликована: Фев. 3, 2024
This research examines junior high school social studies teachers' technology pedagogy content knowledge (TPACK) and how this influences acceptance of in online teaching learning. In study, the quantity approach was applied, while type is descriptive explanatory. A total 875 science teachers were surveyed East Java Province. Structural Equation Modelling (SEM) with AMOS version 20 software used during data analysis. Perceived utility (PU) perceived ease use (PEU) are highly impacted by TPACK. Moreover, PEU substantially affects PU, which has been demonstrated to impact behavioural intention (BIU) an attitude toward (ATU) significantly. As a result, TPACK essential adopting learning, its PU crucial instructors' attitudes regarding continuous it. It possible that characteristics sample do not accurately reflect Indonesian educators. Research on potential effects additional variables, like self-efficacy or teacher performance, would be interesting. The integration TAM examined study generate conceptual framework based empirical data.
Язык: Английский
Процитировано
2CATENA, Год журнала: 2024, Номер 249, С. 108633 - 108633
Опубликована: Дек. 5, 2024
Язык: Английский
Процитировано
2Journal of Environmental Management, Год журнала: 2023, Номер 348, С. 119442 - 119442
Опубликована: Ноя. 3, 2023
Язык: Английский
Процитировано
4Agriculture Ecosystems & Environment, Год журнала: 2023, Номер 363, С. 108875 - 108875
Опубликована: Дек. 30, 2023
Язык: Английский
Процитировано
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