Artificial intelligence in plant breeding

MA Farooq, S Gao, MA Hassan, Z Huang, A Rasheed… - Trends in Genetics, 2024 - cell.com
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 …

Cyber-agricultural systems for crop breeding and sustainable production

S Sarkar, B Ganapathysubramanian, A Singh… - Trends in Plant …, 2024 - cell.com
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …

[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenotyping: a review

Y Jiang, C Li - Plant Phenomics, 2020 - spj.science.org
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

Deep learning: As the new frontier in high-throughput plant phenotyping

S Arya, KS Sandhu, J Singh, S Kumar - Euphytica, 2022 - Springer
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 …

Lidar boosts 3D ecological observations and modelings: A review and perspective

Q Guo, Y Su, T Hu, H Guan, S Jin… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
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 …

Advances in optical phenotyping of cereal crops

D Sun, K Robbins, N Morales, Q Shu, H Cen - Trends in plant science, 2022 - cell.com
Optical sensors and sensing-based phenotyping techniques have become mainstream
approaches in high-throughput phenotyping for improving trait selection and genetic gains …

Crop phenotyping in a context of global change: What to measure and how to do it

JL Araus, SC Kefauver, O Vergara‐Díaz… - Journal of Integrative …, 2022 - Wiley Online Library
High‐throughput crop phenotyping, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenotyping not only facilitates …

SeedGerm: a cost‐effective phenotyping platform for automated seed imaging and machine‐learning based phenotypic analysis of crop seed germination

J Colmer, CM O'Neill, R Wells, A Bostrom… - New …, 2020 - Wiley Online Library
Efficient seed germination and establishment are important traits for field and glasshouse
crops. Large‐scale germination experiments are laborious and prone to observer errors …

Semantic segmentation model of cotton roots in-situ image based on attention mechanism

J Kang, L Liu, F Zhang, C Shen, N Wang… - … and electronics in …, 2021 - Elsevier
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 …

A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey

AL Harfouche, F Nakhle, AH Harfouche… - Trends in Plant …, 2023 - cell.com
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 …