The past decade has witnessed many great successes of machine learning (ML) and deep
learning (DL) applications in agricultural systems, including weed control, plant disease …

Machine learning techniques for crop genomic selections, especially for single-environment
plants, are well-developed. These machine learning models, which use dense genome …

The expression of quantitative traits of a line of a crop depends on its genetics, the
environment where it is sown and the interaction between the genetic information and the …

Deep learning methods have been applied when working to enhance the prediction
accuracy of traditional statistical methods in the field of plant breeding. Although deep …

The past decade has witnessed rapid developments in gene discovery, biological big data
(BBD), artificial intelligence (AI)‐aided technologies, and molecular breeding. These …

Deep learning methods have been applied when working to enhance the prediction
accuracy of traditional statistical methods in the field of plant breeding. Although deep …

This research explores the rise in global surface temperature of planet earth. This analysis
combines the granular details contributing to the impact of climate change by observing the …

Since the beginning of humanity, people have been seeking practical solutions to 25 meet
their most basic need: food. The advent of agriculture greatly increased the food 26 supply …