Work

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

Year: 2023

Type: data-paper

Abstract: ) 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.

Source: Data in Brief

DOI: 10.1016/j.dib.2023.109690

Authors: Sandip Thite, Yogesh Suryawanshi, Kailas Patil, Prawit Chumchu

Institutions: Vishwakarma University, Kasetsart University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $530