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The potential of remote sensing of cover crops to benefit sustainable and precision fertilization
Cover crops and precision fertilization are two core strategies to advance sustainable
agriculture. Based on a review of proven achievements in remote sensing of vegetation, a …
agriculture. Based on a review of proven achievements in remote sensing of vegetation, a …
Unsupervised domain adaptation using transformers for sugarcane rows and gaps detection
Deep learning represented an impressive advance in the field of machine learning and is
continually breaking records in dozens of areas of artificial intelligence, such as image …
continually breaking records in dozens of areas of artificial intelligence, such as image …
PlantSR: Super-Resolution Improves Object Detection in Plant Images
T Jiang, Q Yu, Y Zhong, M Shao - Journal of Imaging, 2024 - mdpi.com
Recent advancements in computer vision, especially deep learning models, have shown
considerable promise in tasks related to plant image object detection. However, the …
considerable promise in tasks related to plant image object detection. However, the …
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring
Dairy is an economically significant industry that caters to the huge demand for food
products in people's lives. To remain profitable, farmers need to manage their farms and the …
products in people's lives. To remain profitable, farmers need to manage their farms and the …
Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge
Clover fixates nitrogen from the atmosphere to the ground making grass-clover mixtures
highly desirable to reduce external nitrogen fertilization. Herbage containing clover …
highly desirable to reduce external nitrogen fertilization. Herbage containing clover …
Hybrid drone-based survey of riverine habitat and crocodiles in complex landscapes
Technological integration in conservation and management dramatically increases the
range and quality of data collection in a short time and with high accuracy. Unmanned aerial …
range and quality of data collection in a short time and with high accuracy. Unmanned aerial …
Enhancing Aboveground Biomass Prediction through Integration of the SCDR Paradigm into the U-Like Hierarchical Residual Fusion Model
R Zhang, J Peng, H Chen, H Peng, Y Wang, P Jiang - Sensors, 2024 - mdpi.com
Deep learning methodologies employed for biomass prediction often neglect the intricate
relationships between labels and samples, resulting in suboptimal predictive performance …
relationships between labels and samples, resulting in suboptimal predictive performance …
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains
Dependable visual drone detection is crucial for the secure integration of drones into the
airspace. However, drone detection accuracy is significantly affected by domain shifts due to …
airspace. However, drone detection accuracy is significantly affected by domain shifts due to …