Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in
modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data …

The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …

Plant phenoty** has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

With climate change and ever-increasing population growth, the pace of varietal
development needs to be accelerated in order to feed a population of 10 billion by 2050 …

The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

Optical sensors and sensing-based phenoty** techniques have become mainstream
approaches in high-throughput phenoty** for improving trait selection and genetic gains …

High‐throughput crop phenoty**, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenoty** not only facilitates …

Efficient seed germination and establishment are important traits for field and glasshouse
crops. Large‐scale germination experiments are laborious and prone to observer errors …

The growth and distribution of root system in the soil has an important influence on the
growth of plants and is one of the important factors affecting crop production. However, the …

Artificial intelligence (AI) has emerged as a fundamental component of global agricultural
research that is poised to impact on many aspects of plant science. In digital phenomics, AI …