Jan 31, 2023 · This paper explores geolocation for precision agriculture while providing a framework and data source for further development by the machine learning community.
Jan 31, 2023 · Our model, MashNet, predicts latitude and longitude for poplar trees from randomly-sampled, unaligned sequence fragments. We show that our model ...
Deep Learning for Reference-Free Geolocation for Poplar Trees. CW John, O Queen, W Muchero, SJ Emrich. NeurIPS 2022 AI for Science Workshop, 2023. 2023. The ...
Explore all code implementations available for Deep Learning for Reference-Free Geolocation for Poplar Trees.
A core task in precision agriculture is the identification of climatic and ecological conditions that are advantageous for a given crop.
Deep Learning for Reference-Free Geolocation for Poplar Trees · Dynamic network analysis improves protein 3D structural classification.
Remote sensing has been widely used in poplar studies, and the increasing use of free satellite data and processing platforms is expected to pave the way for ...
In this paper, we present a deep learning approach for mapping poplar plantations using Sentinel-2 time series.
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Deep Learning for Reference-Free Geolocation for Poplar Trees ... A core task in precision agriculture is the identification of climatic and ecological conditions ...
Mar 22, 2023 · Results showed that the YOLOv7 model achieved the precision, recall, mean average precision, and F-score values for the bounding boxes of poplar ...