Soybean is a major crop that provides essential protein and oil for food and feed. Since its
origin in China over 5000 years ago, soybean has spread throughout the world, becoming …

The growing global demands for agricultural goods will require accelerated crop
improvement. High-throughput genomic, phenomic, enviromic and other multi-omic data …

We report our investigation on the use of the popular PlantVillage dataset for training deep
learning based plant disease detection models. We trained a machine learning model using …

The advent of cutting-edge techniques such as Computer Vision (CV) and Artificial
Intelligence (AI) have sparked a revolution in the agricultural industry, with applications …

The increasing human population and variable weather conditions, due to climate change,
pose a threat to the world's food security. To improve global food security, we need to …

Plant phenotyping studies the complex characteristics of plants, with the aim of evaluating
and assessing their condition and finding better exemplars. Recently, a new branch …

Soybean improvement has entered a new era with the advent of multi-omics strategies and
bioinformatics innovations, enabling more precise and efficient breeding practices. This …

With the escalating global challenges of food security and resource sustainability, innovative
solutions like deep learning and computer vision are transforming agricultural practices by …

Roots are essential for acquiring water and nutrients to sustain and support plant growth and
anchorage. However, they have been studied less than the aboveground traits in …

Extracting practical information from the large amounts of data gathered during the live
imaging analysis of plant organs is a challenging issue. The present work investigates the …