Feb 24, 2022 · In this paper, we construct an innovative network architecture based on domain adaptation learning to predict crops growth curves with limited available crop ...
Feb 24, 2022 · In this paper, we construct an innovative network architecture based on domain adaptation learning to predict crops growth curves with limited ...
Feb 24, 2022 · In this paper, we construct an innovative network architecture based on domain adaptation learning to predict crops growth curves with ... the ...
In this paper, we construct an innovative network architecture based on domain adaptation learning to predict crops growth curves with limited available crop ...
We are the first to use the temporal convolution filters as the backbone to construct a domain adaptation network architecture which is suitable for deep ...
Oct 15, 2023 · In this study, we explore the generalisability and transferability of machine learning models and also the capability of domain adaptation to ...
This paper proposes a novel monitoring approach that comprises high-throughput imaging sensor measurements and their automatic analysis to predict future plant ...
Sep 16, 2023 · This research demonstrates a novel solution for addressing negative transfer and improving DL models' transferability on crop yield prediction.
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Feb 25, 2022 · This study analyzes the performance of machine learning and deep learning methods for winter wheat yield prediction using an extensive dataset of weather, soil ...
In recent years, owing to the development of deep learning, neural network-based models have become more prevalent in the crop yield prediction field (Dahikar ...