Blar i AURA på forfatter "Gupta, Rashmi"
-
Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks
Engen, Martin; Sandø, Erik; Sjølander, Benjamin Lucas Oscar; Arenberg, Simon; Gupta, Rashmi; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain and Yield Predictions
Jacobsen, Sigurd Løite; Kvande, Mikkel Andreas (Master thesis, 2022)Agriculture is a critical part of the world’s food production, being a vital aspect of all societies. Procedures need to be adjusted to their specific environment because of their climate and field condition disparity. ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain Identification and Grain Yield Predictions
Kvande, Mikkel Andreas; Jacobsen, Sigurd Løite (Master thesis, 2022)Agriculture is a critical part of the world's food production, being a vital aspect of all societies. Procedures need to be adjusted to their specific environment because of their climate and field condition disparity. ...