Accurate and efficient crop classification using remotely sensed data can provide
fundamental and important information for crop yield estimation. Existing crop classification …

Agaricus bisporus growth alters the lignocellulosic composition and structure of compost.
However, it is difficult to differentiate the enzyme activities of A. bisporus mycelia from the wider …

Reliable classification results are crucial for guiding agricultural production, forecasting crop
yield, and ensuring food security. Generating reliable classification results is relatively …

Crop classification studies generally focus on different types of crops, while there are fewer
studies on the fine classification of different cropping patterns of the same crop. Research on …

Crop classification is a crucial task in agricultural remote sensing, with the accuracy of such
classification heavily relies on field sampling. Reusing historical samples can minimize the …

Labeled samples with real crop types are important for crop classification, but the acquisition
of large batches of labeled samples will consume many resources, so it is necessary to …

Cross-Regional Model Transfer (CRMT) provides a solution to crop classification challenges
in target regions with limited labeled samples. However, when the source region (source …

Brown-rot fungus is one of the important medicinal mushrooms, which include some
species within the genus Fomitopsis. This study identified wild macrofungi collected from a …

Graph data storage has a promising prospect due to the surge of graph-structure data.
Especially in social networks, it is widely used because hot public opinions trigger some network …

Mesenchymal stromal cells (MSCs) have great value in cell therapies. The MSC therapies
have many challenges due to its inconsistent potency and limited quantity. Here, we report a …