Coconut ( Cocos nucifera) tree disease dataset: A dataset for disease detection and classification for machine learning applications

被引：14
|
作者：
Thite, Sandip [1 ]
Suryawanshi, Yogesh [1 ]
Patil, Kailas [1 ]
Chumchu, Prawit [2 ]
机构：
[1] Vishwakarma Univ, Pune, India
[2] Kasetsart Univ, Sriracha, Thailand
来源：
DATA IN BRIEF | 2023年 / 51卷
关键词：
Coconut tree diseases; Disease detection; Disease classification; Machine learning;
D O I：
10.1016/j.dib.2023.109690
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The "Coconut ( Cocos nucifera ) Tree Disease Dataset" comprises 5,798 images across five disease categories: "Bud Root Dropping,'' "Bud Rot,'' "Gray Leaf Spot,'' "Leaf Rot,'' and "Stem Bleeding." This dataset is intended for machine learning applications, facilitating disease detection and classification in coconut trees. The dataset's diversity and size make it suitable for training and evaluating disease detection models. The availability of this dataset will support advancements in plant pathology and aid in the sustainable management of coconut plantations. By providing a valuable resource for researchers, this dataset contributes to improved disease management and sustainable coconut plantation practices. (c) 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数：9
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