[PDF][PDF] Explainable AI in grassland monitoring: Enhancing model performance and domain adaptability
C Hoffmann - researchgate.net
Grasslands are nown for their high biodiversity and ability to provide multiple ecosystem
services. Challenges in automating the identification of indicator plants are ey obstacles to …
services. Challenges in automating the identification of indicator plants are ey obstacles to …
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability
S Liu, A Hedström, DH Basavegowda… - arXiv preprint arXiv …, 2023 - arxiv.org
Grasslands are known for their high biodiversity and ability to provide multiple ecosystem
services. Challenges in automating the identification of indicator plants are key obstacles to …
services. Challenges in automating the identification of indicator plants are key obstacles to …
Explainable AI in grassland monitoring: Enhancing model performance and domain adaptability
AH Shanghua Liu - 44. GIL-Jahrestagung, Biodiversität fördern durch …, 2024 - dl.gi.de
Grasslands are known for their high biodiversity and ability to provide multiple ecosystem
services. Challenges in automating the identification of indicator plants are key obstacles to …
services. Challenges in automating the identification of indicator plants are key obstacles to …
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild
Antrophonegic pressure (ie human influence) on the environment is one of the largest
causes of the loss of biological diversity. Wilderness areas, in contrast, are home to …
causes of the loss of biological diversity. Wilderness areas, in contrast, are home to …
Towards Space-to-Ground Data Availability for Agriculture Monitoring
The recent advances in machine learning and the availability of free and open big Earth
data (eg, Sentinel missions), which cover large areas with high spatial and temporal …
data (eg, Sentinel missions), which cover large areas with high spatial and temporal …
Overcoming field variability: unsupervised domain adaptation for enhanced crop-weed recognition in diverse farmlands
Recent developments in deep learning-based automatic weeding systems have shown
promise for unmanned weed eradication. However, accurately distinguishing between crops …
promise for unmanned weed eradication. However, accurately distinguishing between crops …
WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware
Blackgrass (Alopecurus myosuroides) is a competitive weed that has wide-ranging impacts
on food security by reducing crop yields and increasing cultivation costs. In addition to the …
on food security by reducing crop yields and increasing cultivation costs. In addition to the …
Understanding Agricultural Landscape Dynamics with Explainable Artificial Intelligence
S Stiller - 2023 - dl.gi.de
Deep learning (DL) models, particularly those utilizing computer vision techniques such as
proximal and remote sensing imagery, have witnessed extensive utilization within …
proximal and remote sensing imagery, have witnessed extensive utilization within …
Exploring self-attention for crop-type classification explainability
Automated crop-type classification using Sentinel-2 satellite time series is essential to
support agriculture monitoring. Recently, deep learning models based on transformer …
support agriculture monitoring. Recently, deep learning models based on transformer …
Leveraging AI for sustainable agriculture: opportunities and challenges
P WHIG - Transactions on Latest Trends in Artificial Intelligence, 2023 - ijsdcs.com
Agriculture is facing numerous challenges, including climate change, population growth,
and declining natural resources. Artificial intelligence (AI) has the potential to transform …
and declining natural resources. Artificial intelligence (AI) has the potential to transform …