culture

“Exploratory results demonstrated that ConvNeXt-Tiny achieved the highest performance, attaining a 96.88% accuracy on the test”

“AEF-based models generally exhibit strong performance on all tasks and are competitive with purpose-built RS-ba”

“Have we reached 'peak AI?'”

“The article's context suggests the research focuses on applying deep learning to smart agriculture.”

“The article is a tutorial about designing a Multirate Extended Kalman Filter (MEKF) design.”

“NeuralCrop combines physics and machine learning for improved crop yield predictions.”

“The research is sourced from ArXiv.”

“The study examines the relationship between human-like AI design and engagement/trust.”

“The research uses an attention-enhanced CNN.”

“The paper focuses on the application of vision-language models in agriculture.”

“ST-DETrack utilizes dual spatiotemporal evidence for identity-preserving branch tracking.”

“The paper describes a multi-agentic AI framework.”

“The paper focuses on plant disease recognition.”

“The study evaluates the robustness of CNNs.”

“LeafTrackNet is a deep learning framework.”

“General-purpose AI models can generate actionable knowledge on agroecological crop protection.”

“Fast, accurate measurement of the worker populations of honey bee colonies using deep learning.”

“The article focuses on the design of a six wheel suspension and a three-axis linear actuation mechanism.”

“The research focuses on region-aware retrieval for high-fidelity agricultural advice.”

“The article is based on ArXiv, suggesting peer-reviewed research or a preliminary report of findings.”

“The research focuses on white button mushroom segmentation.”

“The article's context indicates the study is based on an ArXiv publication.”

“The article likely discusses the capabilities of LLMs concerning cultural understanding.”

“The research focuses on evaluating AI safety in Southeast Asian languages and cultures.”

“The article focuses on a hybrid gripper for tomato harvesting.”

“The article is sourced from ArXiv.”

“AgriLiRa4D is a multi-sensor UAV dataset.”

“The research focuses on low-cost greenhouse systems.”

“AgriCoT is a chain-of-thought benchmark for evaluating reasoning in vision-language models for agriculture.”

“AfriStereo is a culturally grounded dataset.”