Accurately sorting high-quality soybean seeds is a crucial and time-consuming task in
quality inspection and food safety. This paper designs a full pipeline to classify the soybean …

Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming …

This research examines and explores four different pre-trained CNN deep learning models
(AlexNet, VGG16, ResNet50, and DenseNet121) to be adopted as edge solution. The model …

In agriculture, fruit picking robots on the ground have difficulty adapting to the terrain
conditions of mountain orchards and cannot pick longan fruit from tall longan trees. In this …

Low contrasts and visual similarity between different skin conditions make skin disease
recognition a challenging task. Current techniques to detect and diagnose skin disease …

In this paper, we present a novel paradigm for disease detection. We build an artificial
intelligence based system where various biomedical data are retrieved from distributed and …

Tomatoes are among the very important crops grown worldwide. However, tomato diseases
can harm the health of tomato plants during growth and reduce tomato yields over large …

Pests are always the main source of field damage and severe crop output losses in
agriculture. Currently, manually classifying and counting pests is time consuming, and …

Insect pest is an essential factor affecting crop yield, and the effect of pest control depends
on the timeliness and accuracy of pest forecasting. The traditional method forecasts pest …

Green space is any green infrastructure consisting of vegetation. Green space is linked with
improving mental and physical health, providing opportunities for social interactions and …