However, developing autonomous robots for real-world agricultural scenarios is challenging due to environmental variability and the need for representative datasets. This study introduces the ACRE Crop-Weed Dataset, designed for benchmarking weed detection models on maize and bean fields. The dataset, ...
In this paper we present a new dataset (i.e. Carrot-Weed) for weed detection taken under variable light conditions. The dataset contains RGB images from young carrot seedlings taken during the period of February in the area around Negotino, Republic of Macedonia. We performed initial analysis ...
Finally, we propose the YOLO-Dense Pest (YOLO-DP) model for high-precision object detection of weed, pest, and disease crop images. We re-evaluate the state-of-the-art detection models with our proposed PDT dataset and CWC dataset, showing the completeness of the dataset and the ...
The first goal of this work was the collection of a large labelled image dataset to facilitate the classification of a variety of weed species for robotic weed control. The emerging trend of deep learning for object detection and classification necessitates its use for this task. As a result, ...
The dataset can be used freely for non-commercial applications. For any additional information please contact: Petre Lameski (petre.lameski@finki.ukim.mk) If you use this dataset please cite: Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov, "Weed detection dataset with RG...
Object-level benchmark for deep learning-based detection and classification of weed species A crop-weed dataset is repurposed with object-level labels for species recognition.Deep learning techniques have been applied to detect multi-class weeds i... ASMM Hasan,D Diepeveen,H Laga,... - 《Crop...
sharmaroshan / Weed-Detection Star 4 Code Issues Pull requests This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ...
In Youngstown, the Corrections Corporation of America, the nation's largest operator of private prisons, made a deal with the economically depressed former steel town: Youngstown gave the prison the land for a dollar and the corporation promised to create 450 jobs and find the inmates. It found...
Recent studies suggest that plant disease identification via computational approaches is vital for agricultural production. However, there is still a large gap that needs to be bridged while the training data is imbalanced when the number of samples in different categories of the dataset varies greatl...
Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT 14 Jul 2021 21,847 An Aerial Weed Detection System for Green Onion Crops Using the You Only Look Once (YOLOv3) Deep Learning Algorithm 1 Jan 2020 21,847 ...