[HTML][HTML] A comprehensive survey on weed and crop classification using machine learning and deep learning
FD Adhinata, R Sumiharto - Artificial Intelligence in Agriculture, 2024 - Elsevier
Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …
revolutionized object detection and classification in images or videos. This technology plays …
An intelligent weighted object detector for feature extraction to enrich global image information
L Yan, K Li, R Gao, C Wang, N Xiong - Applied Sciences, 2022 - mdpi.com
Object detection is a fundamental task in computer vision. To improve the detection accuracy
of a detection model without increasing the model weights, this paper modifies the YOLOX …
of a detection model without increasing the model weights, this paper modifies the YOLOX …
A Survey of Weed Identification Using Convolutional Neural Networks
N Shekhawat, S Verma, A Vijayvargiya… - … of Research on …, 2023 - igi-global.com
Weeds are the major source of concern for farmers, who anticipate that weeds may lower
crop productivity. Thus, it is essential and vital to detect weeds. Traditional weed …
crop productivity. Thus, it is essential and vital to detect weeds. Traditional weed …
Analyzing the Effectiveness of Image Augmentation for Soybean Crop and Broadleaf Weed Classification
M Justina, M Thenmozhi - International Conference on Advances in Data …, 2023 - Springer
Data is the key for every artificial intelligence (AI)-based application irrespective of the type
of data (numerical, categorical, image) being used. Quality and the depth of information in …
of data (numerical, categorical, image) being used. Quality and the depth of information in …