首页|Research in the Area of Artificial Intelligence Reported from Yibin University (Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants)

Research in the Area of Artificial Intelligence Reported from Yibin University (Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants)

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New research on artificial intelligence is the subject of a new report. According to news reporting originating from Sichuan, People's Republic of China, by NewsRx correspondents, research stated, "Biotic and abiotic stresses significantly affect plant fitness, resulting in a serious loss in food production." Our news journalists obtained a quote from the research from Yibin University: "Biotic and abiotic stresses predominantly affect metabolite biosynthesis, gene and protein expression, and genome variations. However, light doses of stress result in the production of positive attributes in crops, like tolerance to stress and biosynthesis of metabolites, called hormesis. Advancement in artificial intelligence (AI) has enabled the development of high-throughput gadgets such as high-resolution imagery sensors and robotic aerial vehicles, i.e., satellites and unmanned aerial vehicles (UAV), to overcome biotic and abiotic stresses. These High throughput (HTP) gadgets produce accurate but big amounts of data. Significant datasets such as transportable array for remotely sensed agriculture and phenotyping reference platform (TERRA-REF) have been developed to forecast abiotic stresses and early detection of biotic stresses. For accurately measuring the model plant stress, tools like Deep Learning (DL) and Machine Learning (ML) have enabled early detection of desirable traits in a large population of breeding material and mitigate plant stresses."

Yibin UniversitySichuanPeople's Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.12)
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