This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Teens don't have to use weed all that often for it to have a negative effect on their lives, according to a new study. Even using marijuana once or twice a month is linked with worse school ...

Abstract: An instance segmentation using Mask RCNN machine learning artificial intelligence was built in order to create a weed detection system that can differentiate between bokchoy and non-crops ...

“ Real-time weed detection using machine learning and stereo-vision,” in 2021 6th International Conference for Convergence in Technology (I2CT) (IEEE). Pune, India: IEEE 1 – 5.

The global agricultural sector stands on the brink of a technological transformation as AI and computer vision start reshaping how farmers manage weeds, one of the oldest and costliest challenges in ...

The model, called the Few-Shot Enhanced Attention (FSEA) network, incorporates plant-specific features—such as color cues and morphology—into its learning process. By integrating domain knowledge with ...

Czech startup Skymaps recently announced the launch of Zoneye, an AI model that learns to identify local weed populations. Trained to recognize 37 common weed species, Zoneye pinpoints their exact ...

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...

Emotion-Detection/ ─ test.py # Main script for webcam emotion detection ─ emotion_model.h5 # Pre-trained Mini-XCEPTION model ─ haarcascade_frontalface_default.xml # Face detection Haar cascade ─ ...

DYK? Targeted weed-spraying can save tomato farmers 71% of the herbicide they use. This according to new University of Florida research. It also cuts input costs related to weed management for growers ...