https://en.people.cn/n3/2026/0817/c90000-20489340.html

A research team from Anhui Agricultural University has unveiled “Fengshu” 2.0, a vertical large model for the soybean sector. The upgraded model achieves multimodal data fusion, reduces response deviations of single models, and helps advance data-assisted soybean breeding.

Soybean is a strategically important crop in China, serving as a source of grain, edible oil, and feed.

The AI model integrates soybean germplasm resources, genomes and coding sequences, proteins, transcripts, gene-expression profiles, disease samples, breeding trial records, and Chinese and foreign literature to form a structured knowledge system oriented to soybean science.

According to the R&D team, the new model embeds interfaces of several general-purpose large models. These models can each answer the same professional soybean question, after which the summary module of “Fengshu” 2.0 – using domain knowledge, private data, and structured comparison rules – comprehensively analyzes the consensus, differences, and evidentiary completeness of the answers, producing clearer and more reliable professional conclusions. This helps improve the stability of soybean-specific knowledge services.

The current version can assist, around key soybean agronomic traits, in disease diagnosis, parental line screening, virtual cross combination design, phenotypic data parsing, molecular marker-assisted breeding, and candidate gene function analysis. It helps improve the efficiency of scientific data processing, cut repetitive work, and optimize breeding schemes. The model will further incorporate climate, soil, and planting patterns of major soybean-producing regions in China to support improved variety propagation, scaled cultivation, scientific analysis, and agro-technical extension.