DOI: 10.5061/dryad.63xsj3vbd
title: Dataset of aerial photographs acquired with UAV using a multispectral (Green, Red and Near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoring

description: A dataset of aerial photographs acquired with an unmanned aerial vehicle
 (UAV) DJI Phantom 4 Pro is presented for monitoring a cherry tomato
 (Solanum lycopersicum var. cerasiforme) crop in Navolato, Mexico. Seven
 photogrammetric flights were carried out to assess the plant growth using
 a Mapir Survey 3W multispectral camera. Multispectral images with an
 approximate spatial resolution of 1.83 cm/px were obtained in each
 photogrammetric flight. These images were acquired every 15 days starting
 on October 15, 2021, and ending on January 23, 2022. The database contains
 the radiometrically calibrated images of the tomato crop divided into 2
 treatments (repetitions). The dataset also includes the processed
 photogrammetric products (ortho-mosaics) using a binary mask to exclude
 the soil from the plant area. The database was originally acquired to
 assess plant growth, stress levels, and overall crop health. However, this
 multispectral imagery dataset can also have various uses, such as creating
 training datasets with accurate labels or classes which can then be used
 to develop, train, and/or validate machine learning algorithms for image
 classification, object detection tasks, or change detection analysis
description: Cherry tomato seeds were germinated in a greenhouse and
 transplanted outdoors on September 6, 2021. Plants were locally managed,
 and supported with nylon twine to maintain upright growth and prevent
 breakage from fruit weight. The study used two replicated treatments (T1
 and T2) with organic-mineral fertilization; no stress was induced in
 either treatment. DJI Phantom 4 Pro UAV was used for
 the photogrammetric flights. A Mapir Survey 3W multispectral camera was
 mounted on this UAV to obtain images in the GRN (Green, Red, Near
 Infrared) spectral range. The DJI GS Pro application was used to define
 the route (polygon), speed (14.1 m/s), flight height (40 m). The
 photogrammetric flight parameters were constant for all flights performed.
 These parameters were set according to the resolution of the multispectral
 camera sensor system. All photogrammetric flights were performed under
 nadir conditions. The Mapir Survey 3W camera operated independently of the
 UAV camera. Its configuration was based on UAV speed and height, resulting
 in longitudinal  and transverse overlaps of 92.8% and 62%, respectively,
 and a GSD of 1.83 cm/pixel. The dataset is restricted to the Mapir Survey
 3W camera imagery. Images were captured in RAW + JPG
 format and subsequently underwent radiometric calibration. This involved
 pre-flight acquisition of a ground target image.  Photogrammetric
 processing, using Mapir Camera Control software and the empirical line
 method, converted sensor radiation to reflectance via regression analysis
 against known ground target reflectance values.  The resulting 12-bit TIF
 images (Table 1 details flight conditions) have a radiometric resolution
 of 12 bits and the following channel order: Channel 1 (red), Channel 2
 (green), and Channel 3 (near-infrared).  These calibrated images
 constitute the dataset.  Phenological stage (BBCH scale) observations are
 also provided. The first flight occurred 15 days post-transplantation from
 greenhouse to field. Table 1.- Photogrammetric flight
 logs  Flight Date Hour Weather conditions Temperature in °C Humidity Relative BBCH scale Notes V1 15/10/2021 8:00 AM Sunny 23.5 70% 20-29 The plant is developing foliage V2 24/10/2021 8:00 AM Sunny 22.3 81% 50-59 The plant starts to produce flowers. V3 10/11/2021 8:00 AM Sunny 20.2 68% 60-69 The development of fruit is observed V4 21/11/2021 7:30 AM Sunny 19.5 67% 70-79 The plant is a fruit-bearing crop V5 03/12/2021 11:15 AM Sunny 28.5 57% 70-79 The maturation of some tomatoes is observed. The size and color of the fruit continue to develop. V6 18/12/2021 8:30 AM Sunny 19.8 69% 80-89 Most of the tomatoes are fully mature and ready for harvest. V7 23/01/2022 9:00 AM Moderate cloud cover 18.5 63% 90-99 The plant begins to deteriorate. Leaves start turning yellow. <pre> </pre>
description: # Dataset of aerial photographs acquired with UAV using a multispectral
 (Green Red Near-infrared) camera for cherry tomato (Solanum lycopersicum
 var. cerasiforme) monitoring
 [https://doi.org/10.5061/dryad.63xsj3vbd](https://doi.org/10.5061/dryad.63xsj3vbd) ## Description of the data and file structure Dataset of aerial photographs acquired with UAV using a multispectral (Green, Red and Near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoring. ### Files and variables #### File: Tomatodb **Description:** The dataset organization. The folders are organized by flight date. Therefore, a total of seven folders can be found. Each folder contains three subfolders (FLIGHT, ORTHO, and PLANT). The FLIGHT folder contains the multispectral aerial images obtained from the photogrammetric flights. The ORTHO folder contains the orthomosaics obtained from image processing and then when the binary mask was applied. The PLANT folder contains two subfolders, CROP_1 and CROP_2, which show the multispectral images of the leaves and fruits of the crop (T1 and T2, respectively). These images were taken manually at about 50 cm from the plant. These images are compatible with various GIS software packages, but using the free and open-source QGIS is recommended. Table 2 shows the description, format, and size of each file. Table 2.- Description and size of files | Flight date | File description | Format | File size | | :--------------- | :----------------------------------------------------------------------- | :----- | :-------- | | 15/10/2021 | 745 calibrated images without removing the initial departure images | TIF | 35.6 GB | | 15/10/2021 | 62 calibrated images were taken manually at about 50 cm from the plant | TIF | 2.82 GB | | 24/10/2021 | 764 calibrated images without removing the initial departure images | TIF | 33.9 GB | | 24/10/2021 | 49 calibrated images were taken manually at about 50 cm from the plant | TIF | 2.03 GB | | 10/11/2021 | 492 calibrated images without removing the initial departure images | TIF | 20.5 GB | | 10/11/2021 | 87 calibrated images were taken manually at about 50 cm from the plant | TIF | 3.62 GB | | 21/11/2021 | 430 calibrated images without removing the initial departure images | TIF | 18.4 GB | | 21/11/2021 | 97 calibrated images were taken manually at about 50 cm from the plant | TIF | 4.08 GB | | 03/12/2021 | 404 calibrated images without removing the initial departure images | TIF | 18.1 GB | | 03/12/2021 | 72 calibrated images were taken manually at about 50 cm from the plant. | TIF | 3.20 GB | | 18/12/2021 | 400 calibrated images without removing the initial departure images | TIF | 17.9 GB | | 18/12/2021 | 48 calibrated images were taken manually at about 50 cm from the plant. | TIF | 2.07 GB | | 23/01/2022 | 420 calibrated images without removing the initial departure images | TIF | 17.5 GB | | 23/01/2022 | 81 calibrated images taken manually at about 50 cm from the plant. | TIF | 3.35 GB | | - | 7 orthomosaics without using binary mask | TIF | 22.47 GB | | - | 7 orthomosaics excluding the ground. Image pixels only represent plants. |  TIF |  2.65 | | 15/10/2021 | Binary masks of the two treatments (T1 and T2). | TIF | 5.45 MB | | 24/10/2021 | Binary masks of the two treatments (T1 and T2). | TIF | 5.13 MB | | 10/11/2021 | Binary masks of the two treatments (T1 and T2). | TIF | 5.13 MB | | 21/11/2021 | Binary masks of the two treatments (T1 and T2). | TIF | 4.46 MB | | 03/12/2021 | Binary masks of the two treatments (T1 and T2). | TIF | 6.04 MB | | 18/12/2021 | Binary masks of the two treatments (T1 and T2). | TIF | 4.91 MB | | 23/01/2022 | Binary masks of the two treatments (T1 and T2). | TIF | 4.76 MB | | Total of dataset |   | | 209 GB |