Lychee(Litchi) Leaf Health Condition and Growth Phase Image Dataset for Agricultural Research

This dataset presents a collection of lychee (Litchi chinensis) leaf images systematically collected from Feni and Brahmanbaria districts under natural field conditions of Bangladesh. It encompasses multiple health states and growth stages. This dataset contains 2582 images of lychee leaf images with 5 classes: Early_Bud, Young, Healthy, Senescent_Leaves, and Dried. The images were captured with smartphone in real agricultural environments. The dataset offers a valuable benchmark for machine learning and deep learning research, with applications in plant productivity, phenological analysis, and precision agriculture. This dataset aims to help farmers and researchers support sustainable lychee production and improved crop management strategies.

Captured Using:
Samsung Galaxy A36 (50 MP f/1.8 wide with OIS + 8 MP f/2.2 ultrawide + 5 MP f/2.4 macro)

Dataset Classes and Image Counts:
Early_Bud:500 images
Young:540 images
Healthy:542 images
Senescent Leaves:500 images
Dried:500 images
Total images: 2582

Image Details:
Original image resolution:3060 x 4080
Resized image resolution:420 x 560
Image formate:JPG
Color mode:RGB
Collection device: Smartphone camera
Location: Feni and Brahmanbaria districts,Bangladesh