A method for detecting vegetable oil adulteration in raw milk was established using a flash
gas chromatography electronic nose (FGC E-nose) method combined with four machine …

The agricultural sector plays a fundamental role in our society, where it is increasingly
important to automate processes, which can generate beneficial impacts in the productivity …

On-time seed variety recognition is critical to limit qualitative and quantitative yield loss and
asynchronous crop production. The conventional method is a subjective and error-prone …

In response to the difficulty of plant leaf disease detection and classification, this study
proposes a novel plant leaf disease detection method called deep block attention SSD …

Kee** quality is frequently terminated by adverse water relations or oxidative stress. This
study was designed to evaluate whether postharvest application of single, multi-walled …

Timely crop water stress detection can help precision irrigation management and minimize
yield loss. A two-year study was conducted on non-invasive winter wheat water stress …

Background Cut flower longevity is often limited by adverse water relations or oxidative
stress. The potential of single-and multi-walled carbon nanotubes (SWCNTs and MWCNTs …

Plant diseases can harm crop growth, and the crop production has a deep impact on food.
Although the existing works adopt Convolutional Neural Networks (CNNs) to detect plant …

Extending over millennia, grapevine cultivation encompasses several thousand cultivars.
Cultivar (cultivated variety) identification is traditionally dealt by ampelography, requiring …

The potential of artificial neural networks (ANNs) for assessing key herb quality aspects
(color features, moisture ratio, essential oil content and major constituents) by considering …