Dataset for "Low-Cost, Multi-Sensor Non-Destructive Banana Ripeness Estimation Using Machine Learning"

1459 57 18473 2 72888 document 18473 ds_34.zip application/zip f2f6c9d97a424fec981ab3ab34dc78f2 MD5 2428359 2024-10-15 16:42:12 https://researchdata.bath.ac.uk/1459/1/ds_34.zip 1459 1 1 application/zip other "ds_34" dataset, containing data from all sensors for tests 3 & 4 only. en public cc_by

ds_34.zip

data 18474 2 72890 document 18474 Spect.zip application/zip 3ff57d2b264f6a9ca952a6a40c2d8791 MD5 723929 2024-10-15 16:42:17 https://researchdata.bath.ac.uk/1459/2/Spect.zip 1459 2 2 application/zip other "Spect" dataset, containing all spectral data from tests 2, 3, 5 only. en public cc_by

Spect.zip

data 18475 2 72892 document 18475 TPHiS.zip application/zip 85eb06fc734825c2a482b9bb54067e7a MD5 1723224 2024-10-15 16:42:22 https://researchdata.bath.ac.uk/1459/3/TPHiS.zip 1459 3 3 application/zip other "TPHiS" dataset, containing data from the internal environmental sensors (temperature, pressure, humidity) and all spectral data for tests 2, 3, 4, 5 only. en public cc_by

TPHiS.zip

data 18476 2 72894 document 18476 VOC.zip application/zip 42d92f3d14ea3180170460236202273b MD5 592516 2024-10-15 16:42:26 https://researchdata.bath.ac.uk/1459/4/VOC.zip 1459 4 4 application/zip other "VOC" dataset, containing VOC data from all three VOC sensors (TGS2620, TGS2602, SGP40) for tests 3 & 4 only. en public cc_by

VOC.zip

data 18487 2 73022 document 18487 ds_34-ReadMe.txt text/plain 9f8e66b26f6591726e1bfebdfb3b32fc MD5 5074 2024-10-21 11:53:15 https://researchdata.bath.ac.uk/1459/5/ds_34-ReadMe.txt 1459 5 5 text/plain other ReadMe documentation for "ds_34.zip" dataset files. en public cc_by

ds_34-ReadMe.txt

documentation 18488 2 73025 document 18488 Spect-ReadMe.txt text/plain c23105095bf96ff31c28ea56fe062925 MD5 4474 2024-10-21 11:55:00 https://researchdata.bath.ac.uk/1459/6/Spect-ReadMe.txt 1459 6 6 text/plain other ReadMe documentation for "Spect.zip" dataset files. en public cc_by

Spect-ReadMe.txt

documentation 18489 2 73028 document 18489 TPHiS-ReadMe.txt text/plain 433fc9cfbd7a88bcbd1722194eae67eb MD5 4879 2024-10-21 11:55:51 https://researchdata.bath.ac.uk/1459/7/TPHiS-ReadMe.txt 1459 7 7 text/plain other ReadMe documentation for "TPHiS.zip" dataset files. en public cc_by

TPHiS-ReadMe.txt

documentation 18490 2 73031 document 18490 VOC-ReadMe.txt text/plain 670467d7eb6539fa88a38ae716947fae MD5 3072 2024-10-21 11:56:10 https://researchdata.bath.ac.uk/1459/8/VOC-ReadMe.txt 1459 8 8 text/plain other ReadMe documentation for "VOC.zip" dataset files. en public cc_by

VOC-ReadMe.txt

documentation 18491 1 73036 document 18491 indexcodes.txt text/plain 4afe8b97600ec6f492a62b5dae906b2f MD5 1085 2024-10-21 12:04:56 https://researchdata.bath.ac.uk/1459/9/indexcodes.txt 1459 9 9 text/plain other Generate index codes conversion from other to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/18487 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/18487 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/18487 18492 1 73037 document 18492 indexcodes.txt text/plain b7be003b894f77d5347c0b794bd69583 MD5 893 2024-10-21 12:04:56 https://researchdata.bath.ac.uk/1459/10/indexcodes.txt 1459 10 10 text/plain other Generate index codes conversion from other to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/18488 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/18488 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/18488 18493 1 73038 document 18493 indexcodes.txt text/plain 3feaa0a3f7a746912531422e2a9fb0cc MD5 1028 2024-10-21 12:04:56 https://researchdata.bath.ac.uk/1459/11/indexcodes.txt 1459 11 11 text/plain other Generate index codes conversion from other to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/18489 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/18489 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/18489 18494 1 73039 document 18494 indexcodes.txt text/plain e443776a23e1e8329e87a15e3a8c6c68 MD5 743 2024-10-21 12:04:56 https://researchdata.bath.ac.uk/1459/12/indexcodes.txt 1459 12 12 text/plain other Generate index codes conversion from other to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/18490 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/18490 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/18490 archive 10171 disk0/00/00/14/59 2025-01-20 11:35:57 2025-09-20 04:53:11 2025-01-20 11:35:57 data_collection show Callaghan Kristian kmsc20@bath.ac.uk 0009-0008-6231-1054 University of Bath FALSE Martinez Hernandez Uriel U.Martinez@bath.ac.uk 0000-0002-9922-7912 University of Bath; University of Sheffield TRUE Dataset for "Low-Cost, Multi-Sensor Non-Destructive Banana Ripeness Estimation Using Machine Learning" BA0010 EA0090 KS0130 dept_elec_eng Fruit Ripeness, Classification, Computational Intelligence, Multimodal Sensing Data organisation and encoding is described in the associated ReadMe files. Processed datasets containing all numerical sensor data used for training and testing the ML algorithms discussed in the associated publication. Data from temperature, pressure, humidity, VOC and spectral sensors is included. The data is split into four datasets (as defined in Table V of the associated publication), each containing a different combination of sensor data and each subdivided into data ("x") and labels ("y") for both testing and training data. 30% of the cleaned data is randomly taken to form the testing data, while the remaining 70% forms the training data. Each data subset is balanced, as discussed in section 3.E.3 in the associated publication. 2025-01-16 University of Bath public RightsHolder University of Bath Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/V051083/1 Manufacturing in Hospital: BioMed 4.0 The data collection methodology can be found in the associated publication. The data preparation & processing methodology can be found in the associated publication. The datasets were created with Python 3.10.13, with libraries Numpy 1.26.0 and Pandas 2.1.2. The data is saved in CSV format and does not require specialist software to read. 2023-09-11 2024-03-15 en 1 10.15125/BATH-01459 https://doi.org/10.1109/JSEN.2025.3528250 pub open Dataset