Yolov10 to its genesis: A decadal and comprehensive review of the you only look once series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
Agricultural object detection with You Only Look Once (YOLO) Algorithm: A bibliometric and systematic literature review
Vision is a major component in several digital technologies and tools used in agriculture.
Object detection plays a pivotal role in digital farming by automating the task of detecting …
Object detection plays a pivotal role in digital farming by automating the task of detecting …
[PDF][PDF] Comprehensive performance evaluation of YOLOv10, YOLOv9 and YOLOv8 on detecting and counting fruitlet in complex orchard environments
Abstract 1 Object detection, specifically fruitlet detection, is a crucial image processing
technique in agricultural automation, enabling the accurate identification of fruitlets on …
technique in agricultural automation, enabling the accurate identification of fruitlets on …
YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest
DM Rodrigues, PC Coradi, NS Timm, M Fornari… - Agriculture, 2024 - mdpi.com
In recent years, agricultural remote sensing technology has made great progress. The
availability of sensors capable of detecting electromagnetic energy and/or heat emitted by …
availability of sensors capable of detecting electromagnetic energy and/or heat emitted by …
Predicting early mycotoxin contamination in stored wheat using machine learning
With continued global population growth and current rate of climate change, grain loss
during storage remains a major contributor to postharvest losses of wheat (Triticum aestivum …
during storage remains a major contributor to postharvest losses of wheat (Triticum aestivum …
Insect identification in the wild: The ami dataset
Insects represent half of all global biodiversity, yet many of the world's insects are
disappearing, with severe implications for ecosystems and agriculture. Despite this crisis …
disappearing, with severe implications for ecosystems and agriculture. Despite this crisis …
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review
Vision is a major component in several digital technologies and tools used in agriculture.
The object detector, You Look Only Once (YOLO), has gained popularity in agriculture in a …
The object detector, You Look Only Once (YOLO), has gained popularity in agriculture in a …
[HTML][HTML] Performance Analysis of YOLO and Detectron2 Models for Detecting Corn and Soybean Pests Employing Customized Dataset
GPS de Almeida, LNS dos Santos, LR da Silva Souza… - Agronomy, 2024 - mdpi.com
One of the most challenging aspects of agricultural pest control is accurate detection of
insects in crops. Inadequate control measures for insect pests can seriously impact the …
insects in crops. Inadequate control measures for insect pests can seriously impact the …
[HTML][HTML] Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images
Deep learning applications in agriculture are advancing rapidly, leveraging data-driven
learning models to enhance crop yield and nutrition. Tomato (Solanum lycopersicum), a …
learning models to enhance crop yield and nutrition. Tomato (Solanum lycopersicum), a …