Berkeley Lab researchers have developed RhizoNet, an AI-powered tool that automates plant root segmentation using deep learning.

RhizoNet enhances agricultural yields and climate change resilience by providing precise biomass and growth assessments.

The tool promises breakthroughs in developing resilient and productive crop varieties by offering insights into root behavior under various environmental conditions.

RhizoNet outperforms manual methods and is a step towards automated laboratories, increasing efficiency and moving towards self-driving labs.

Syngenta Seeds partnered with AI company InstaDeep to enhance crop trait development for corn and soybeans using InstaDeep's AI platform, AgroNT1.

The partnership aims to revolutionize trait control and crop performance, benefiting farmers and contributing to a sustainable food system.

Scientists are using AI and big data to decode complex plant genomes for custom plant breeding, improving food security and climate change adaptation.

AI aids in predicting effective breeding methods and matching genes with optimal environments, potentially leading to pest, disease, and stress-resistant crops.

Overall, AI is unlocking genetic potential in plant breeding, creating a better future for agriculture and food security.

Wu and Beguir highlighted the transformative potential of AI in agriculture, marking a significant milestone and promising future for AI-mediated trait design.