A UAV-Based Multispectral and RGB Dataset for Multi-Stage Paddy Crop Monitoring
Description:
This dataset presents UAV-based RGB and multispectral imagery of paddy crops collected during the 2025 Kharif growing season. The data were acquired in Chodavaram, Vijayawada, Krishna District, Andhra Pradesh, India at geographic coordinates [16° 26’ 25.8295” N, 80° 42’ 10.9091” E]. The dataset covers approximately 5 acres of agricultural land and spans multiple crop growth stages. It is intended to support research in precision agriculture, crop health assessment, vegetation index analysis, and UAV-based remote sensing.
Study Area and Crop Details:
Location: Chodavaram, Vijayawada, Krishna District, Andhra Pradesh, India
Geographic Coordinates: 16° 26’ 25.8295” N, 80° 42’ 10.9091” E
Total Area Covered: ~5 acres
Crop: Paddy (Rice)
Seed Types: MTU 13/18 and MTU 10/61
Season: Kharif 2025
Data Acquisition:
UAV
RGB Camera: 20-megapixel
Multispectral Camera: Four 5-megapixel sensors
Spectral Bands: Green, Red, Red-Edge (RE), Near-Infrared (NIR)
Crop Growth Stages Covered:
Nursery Stage (1–30 DAP)
Vegetative Stage (30–75 DAP)
Booting Stage (75–90 DAP)
Flowering Stage (90–100 DAP)
Mature Stage (100–135 DAP)
Harvest Stage (Post-135 DAP)
Multispectral Imaging Description:
Multispectral imaging involves capturing reflectance information from multiple discrete spectral bands across the electromagnetic spectrum, including visible and non-visible wavelengths. In agricultural applications, these spectral bands enable crop condition assessment, stress detection, and vegetation index computation.
Multispectral Band Samples:
(RE), and Near-Infrared (NIR) sample images illustrating spectral reflectance variations across paddy crop growth stages.
Dataset Overview:
Dataset Name: Multistage_Paddy_Crop_Data
Total Dataset Size: ~414 GB
Total Images: 42,430
RGB Images: 8,486
Multispectral Images: 33,944
Collected Data Summary:
Plot 1 (3 acres): 25,040 images, 244.83 GB
Plot 2 (2 acres): 17,430 images, 170.73 GB
Dataset Organization and Folder Structure:
Main Folder: Multistage_Paddy_Crop_Data
Field001_3acres – Data from 3-acre field
Field002_2acres – Data from 2-acre field
Processed_Images – Sample orthomosaic outputs, NDVI and NDRE maps
Field_Records.xlsx – Field details, crop calendar, weather data
Drone_Flight_Checklists.pdf – Pre-flight, during-flight, and post-flight checklists
Image File Naming Convention:
RGB Images: YYYYMMDDHHMMSS_ImageNumber_D.JPG
Multispectral Images: YYYYMMDDHHMMSS_ImageNumber_Band.TIF
Potential Applications:
Multi-stage paddy crop monitoring
Crop health and stress assessment
Vegetation index analysis (NDVI, NDRE)
Precision agriculture
UAV-based machine learning and deep learning research
Dataset Download
Authors:
Adari Rama Sukanya, Puvvula Roopesh Naga Sri Sai, Kota Moses, Rimalapudi Sarvendranath- Prof.
Contact:
License:
This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Users are permitted to copy, distribute, adapt, and build upon the data for any purpose, including
commercial use, provided that appropriate credit is given to the original authors and the source is cited.
Citation:
Acknowledgement:
This dataset was jointly collected by IIT Tirupati and DroneHub Technologies Pvt. Ltd. with
funding support from IIT Tirupati Navavishkar I-Hub Foundation (IITTNiF)
under the project grant IITTNiF/TPD/2024-25/P18