Results 31 to 40 of about 17,346 (205)

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Optimizing YOLOv8 for Enhanced Melon Maturity Detection with Attention Mechanisms: A Case Study from Puspalebo Orchard

JOIV: International Journal on Informatics Visualization
Enhancing fruit maturity detection is crucial in the agricultural industry to ensure product quality and reduce post-harvest losses. However, commonly used maturity detection methods still rely on human visual inspection, which is prone to errors and ...
Ubaidillah Umar, Tri Arief Sardjono, Hendra Kusuma, Mohamad Yani, Helmy Widyantara   +4 more
doaj   +1 more source

Robotics for Crop Pollination: Recent Advances and Future Direction

Journal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota, Matthew D. Whiting, Dawood Ahmed, Manoj Karkee   +3 more
wiley   +1 more source

Drift‐Corrected Monocular VIO and Perception‐Aware Planning for Autonomous Drone Racing

Journal of Field Robotics, EarlyView.
ABSTRACT The Abu Dhabi Autonomous Racing League (A2RL) x Drone Champions League (DCL) competition requires teams to perform high‐speed autonomous drone racing using only a single camera and a low‐quality inertial measurement unit—a minimal sensor set that mirrors expert human drone racing pilots.
Maulana Bisyir Azhari, Donghun Han, Je In You, Sung Jun Park, David Hyunchul Shim   +4 more
wiley   +1 more source

Edge-Accelerated Real-Time Egg Recognition Using YOLOv8

Proceedings of the International Conference on Applied Innovations in IT
Mechanised egg collection systems require vision models that are both accurate and light enough to run on embedded hardware. We built and evaluated an end to end pipeline that couples YOLOv8 object detection variants with Google’s Coral Edge TPU for real
Wesam Basil Abdulhameed, Zaidoon Tareq Abdulwahab   +1 more
doaj   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

Prototipo de Sistema de Monitoreo Inteligente para la detección en Tiempo Real de Objetos y Actividades Sospechosas Utilizando Deep Learning

Informática y Sistemas
Esta investigación trata sobre la necesidad de optimizar los sistemas de videovigilancia a través del uso de inteligencia artificial para detectar proactivamente amenazas.
Lauro Alfonso Erreyes Cuenca, Nahin Josue Olmedo Chica, Mariuxi Paola Zea Ordóñez, Nancy Magaly Loja Mora   +3 more
doaj   +1 more source

Task‐Oriented Hierarchical Environment Modeling via Spatial Belonging Relationships for Domestic Service Robots

SmartBot, EarlyView.
Domestic service robots in dynamic homes often rely on memory‐intensive, quickly outdated 3‐D maps. This work presents HEMDSR, a four‐layer, task‐oriented model that reasons about object‐room and object‐object spatial belonging relationships, encodes observation viewpoints, and builds local 3‐D maps just‐in‐time.
Ying Zhang, Wenfu Bi, Guihui Tian, Cui‐Hua Zhang, Changchun Hua, Simon X. Yang   +5 more
wiley   +1 more source

Basket pose estimation method based on monocular vision and improved YOLOv8-pose model

Huanan Nongye Daxue xuebao
ObjectiveCurrently, the handling operation of vegetable baskets after harvesting in protected greenhouses is still dominated by manual labor, which has problems such as low efficiency and high labor intensity, seriously restricting the large-scale and ...
Lin CHEN, Zhen XU, Chunyan ZHANG, Xiaosheng JI, Songsong CHENG, Jiajun HUANG   +5 more
doaj   +1 more source

An improved pistachio detection approach using YOLO-v8 Deep Learning Models [PDF]

BIO Web of Conferences
Pistachios are an agricultural product widely used in the food industry. It is very important that pistachios are presented to the consumer in good quality on time.
Gökalp Çınarer, Mübarek Mazhar Çakır   +1 more
doaj   +1 more source