Urban agriculture, including peri-urban farming, can nourish around one billion city dwellers
and provide multiple social, economic, and environmental benefits. However, these benefits …

Various deep learning methods are employed to detect stress and diseases in market
garden crops, as well as to assess their severity. This study aims to comprehensively …

Phthalates are commonly used as plasticizers, and solvents in industry and households. We
propose an application of the QuEChERS method for the determination of six PAEs in the …

Vegetable consumption is recommended and encouraged by all nutritionists and doctors
across the planet. However, in addition to minerals which are beneficial to the body, certain …

One of the most intractable challenges currently facing agricultural systems is the need to
produce sufficient food for all to enjoy a healthy balanced diet while minimising impacts to …

China, the largest country in vegetable supply, faces a transition to sustainable vegetable
production to counteract resource waste and environmental pollution. However, there are …

The extreme heat and water scarcity of the desert southwest in the United States of America
present significant challenges for growing food crops. However, controlled-environment …

The plant disease recognition model based on deep learning has shown good performance
potential. However, high complexity and nonlinearity lead to the low transparency and poor …

Light has a significant impact on crop production. The objective of this study was to explore
the optimal lighting structure parameters and the corresponding planting strategy of Chinese …

A lightweight seedling detection model with improved YOLOv8s is proposed to address the
seedling identification problem in the replenishment process in industrial vegetable seedling …