Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications

Author:

Sanya RahmanORCID,Nabiryo Ann LisaORCID,Tusubira Jeremy Francis,Murindanyi Sudi,Katumba Andrew,Nakatumba-Nabende JoyceORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference12 articles.

1. Phenotyping flowering in canola (brassica napus l.) and estimating seed yield using an unmanned aerial vehicle-based imagery;Ti;Front. Plant Sci.,2021

2. Uganda Coffee Profiles,2020

3. End-to-end deep learning for directly estimating grape yield from ground-based imagery;Olenskyj;Comput. Electron. Agric.,2022

4. Automatic bunch detection in white grape varieties using YOLOv3, YOLOv4, and YOLOv5 deep learning algorithms;Sozzi;Agronomy,2022

5. Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images;Yang;Field Crops Res.,2019

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1. Improvement Algorithm Analysis and Implementation of Plant Disease and Pest Recognition Based on YOLO;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

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