Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Study on the spatiotemporal variation and driving factors of soil erosion based on sampling method in the loess hilly area of western Henan Province, China. [PDF]
Gu Z, Ji K, Xu G, Li A, Shen Y, Yao C.
europepmc +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Synthesis of biochar-supported sulfidated nanoscale zero-valent iron and its application as a persulfate activator for remediation of crude oil-contaminated soil. [PDF]
Zheng J +11 more
europepmc +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Transnational survey data on European farmers and consumers attitudes towards legumes adoption. [PDF]
Fiestas-Flores J +19 more
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
The Microbiome of an Invasive Antarctic insect, Eretmoptera Murphyi (Diptera: Chironomidae), and its Potential Role in Nutrient Cycling. [PDF]
Brayley ODM +7 more
europepmc +1 more source

