The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …

Deep learning (DL) approaches have received extensive attention in plant growth
monitoring due to their ground-breaking performance in image classification; however, the …

Accurate assessment of crop emergence helps breeders select appropriate crop genotypes,
and farmers make timely field management decisions to increase maize yields. Crop …

Monitoring palm tree seedlings and plantlings presents a formidable challenge because of
the microscopic size of these organisms and the absence of distinguishing morphological …

Quality sorting of plug seedlings is an important part of factory nurseries, and deep learning
is starting to become a core technology in this field. In response to the key problems of …

The classification of plug seedling quality plays an active role in enhancing the quality of
seedlings. The EfficientNet-B7-CBAM model, an improved convolutional neural network …

At present, the wide application of the CNN (convolutional neural network) algorithm has
greatly improved the intelligence level of agricultural machinery. Accurate and real-time …

In recent years, rice seedling raising factories have gradually been promoted in China. The
seedlings bred in the factory need to be selected manually and then transplanted to the field …

North of Shanxi, Datong Yunzhou District is the base for the cultivation of Hemerocallis
citrina Baroni, which is the main production and marketing product driving the local …

Nondestructive testing methods are gradually used to monitor the state of power devices,
including acoustic emission (AE) testing. However, the application of AE in power devices is …