Air-Sense ADS Data
Published: 29 February 2024| Version 2 | DOI: 10.17632/7jhnzrmddz.2
Contributors:
faseeha munir, Ayesha HakimDescription
The dataset of 2000 cotton leaves on the main stem of the plant were collected from cotton field of MNS-University of Agriculture, Multan. All images were captured using a 16-mega pixel camera in RGB(Red, Green, Blue) format during daylight between 12:00 pm to 2:00 pm in June, July, and August 2023. All images were labelled as ‘healthy’ or ‘injured’ by agricultural experts. The dataset is accompanied by a text file containing data of chlorophyll content of leaf taken from SPAD-502 meter. The process of re-cording chlorophyll content of the lead using SPAD-502 meter is shown in Figure 2. Chlorophyll content of leaf was recorded at three distinct locations: the top leaf, the centre leaf, and the bottom leaf of the main cot-ton plant stem.
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Categories
Internet of Things, Air Quality Optimization, Agricultural Sensor, IoT Sensor