English
Arabic
Chinese (Simplified)
Dutch
Esperanto
French
German
Greek
Italian
Japanese
Korean
Portuguese
Russian
Spanish
UrduA research team has introduced a cutting-edge deep learning model, AAUConvNeXt, for precise and efficient detection of rice lodging, a critical agricultural challenge that impacts yield prediction and disaster management.
Tag: agricultural technology
AIC Chula Saraburi Expo 2024: International Food and Low Carbon in Agriculture and Livestock — Enhancing AIC Networks, Boosting Innovation
Agritech and Innovation Center (AIC), Chulalongkorn University, in Saraburi, with its network, organized the “AIC Chula Saraburi Expo 2024” on June 25-26, 2024, under the concept “International Food and Low Carbon in Agriculture and Livestock.” The event aimed to expand the target attendees to students and young people to create a network of agriculturalists, researchers, innovators, entrepreneurs, and public and private organizations. The goal is to apply knowledge to create beneficial innovations for the advancement of the country.
Exemplar-Based Data Generation and Leaf-Level Analysis for Phenotyping Drought-Stressed Poplar Saplings
A research team has developed a novel method combining computer vision and deep learning to phenotype drought-stressed poplar saplings, achieving 99% accuracy in variety identification and 76% accuracy in stress-level classification.