Crop factor of different crops according to height.
<p>Crop factor of different crops according to height.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852022021042470912 |
|---|---|
| author | Gourab Saha (8987405) |
| author2 | Fariha Shahrin (20465325) Farhan Hasin Khan (20465329) Mashook Mohammad Meshkat (20465332) AKM Abdul Malek Azad (20465335) |
| author2_role | author author author author |
| author_facet | Gourab Saha (8987405) Fariha Shahrin (20465325) Farhan Hasin Khan (20465329) Mashook Mohammad Meshkat (20465332) AKM Abdul Malek Azad (20465335) |
| author_role | author |
| dc.creator.none.fl_str_mv | Gourab Saha (8987405) Fariha Shahrin (20465325) Farhan Hasin Khan (20465329) Mashook Mohammad Meshkat (20465332) AKM Abdul Malek Azad (20465335) |
| dc.date.none.fl_str_mv | 2025-03-18T17:46:06Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0319268.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Crop_factor_of_different_crops_according_to_height_/28619590 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Ecology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified spectral band images save around 61 powered irrigation system parameter measuring sensors many studies done faster calibration rate experimental results demonstrated decreasing labor work complete integrated design advanced computational techniques 87 %, respectively 8 satellite images enhancing agricultural practices average logic algorithm driven precision agriculture land using k land using iot identify suitable crop precision agriculture using rmse smart iot fuzzy logic agricultural analysis crop yield crop selection crop prediction land mapping chosen land xlink "> world population vegetation index vegetation area salinity index random forest multiple soil ml model machine learning lstm model loss function increasing demands findings highlight fertilizer requirements extracting indices decide whether based solar achieving accuracies |
| dc.title.none.fl_str_mv | Crop factor of different crops according to height. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Crop factor of different crops according to height.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_217bdad50ccffefdfd2f7dc16848c6f9 |
| identifier_str_mv | 10.1371/journal.pone.0319268.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28619590 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Crop factor of different crops according to height.Gourab Saha (8987405)Fariha Shahrin (20465325)Farhan Hasin Khan (20465329)Mashook Mohammad Meshkat (20465332)AKM Abdul Malek Azad (20465335)BiotechnologyEcologyScience PolicyPlant BiologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedspectral band imagessave around 61powered irrigation systemparameter measuring sensorsmany studies donefaster calibration rateexperimental results demonstrateddecreasing labor workcomplete integrated designadvanced computational techniques87 %, respectively8 satellite imagesenhancing agricultural practicesaverage logic algorithmdriven precision agricultureland using kland using iotidentify suitable cropprecision agricultureusing rmsesmart iotfuzzy logicagricultural analysiscrop yieldcrop selectioncrop predictionland mappingchosen landxlink ">world populationvegetation indexvegetation areasalinity indexrandom forestmultiple soilml modelmachine learninglstm modelloss functionincreasing demandsfindings highlightfertilizer requirementsextracting indicesdecide whetherbased solarachieving accuracies<p>Crop factor of different crops according to height.</p>2025-03-18T17:46:06ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0319268.t001https://figshare.com/articles/dataset/Crop_factor_of_different_crops_according_to_height_/28619590CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/286195902025-03-18T17:46:06Z |
| spellingShingle | Crop factor of different crops according to height. Gourab Saha (8987405) Biotechnology Ecology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified spectral band images save around 61 powered irrigation system parameter measuring sensors many studies done faster calibration rate experimental results demonstrated decreasing labor work complete integrated design advanced computational techniques 87 %, respectively 8 satellite images enhancing agricultural practices average logic algorithm driven precision agriculture land using k land using iot identify suitable crop precision agriculture using rmse smart iot fuzzy logic agricultural analysis crop yield crop selection crop prediction land mapping chosen land xlink "> world population vegetation index vegetation area salinity index random forest multiple soil ml model machine learning lstm model loss function increasing demands findings highlight fertilizer requirements extracting indices decide whether based solar achieving accuracies |
| status_str | publishedVersion |
| title | Crop factor of different crops according to height. |
| title_full | Crop factor of different crops according to height. |
| title_fullStr | Crop factor of different crops according to height. |
| title_full_unstemmed | Crop factor of different crops according to height. |
| title_short | Crop factor of different crops according to height. |
| title_sort | Crop factor of different crops according to height. |
| topic | Biotechnology Ecology Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified spectral band images save around 61 powered irrigation system parameter measuring sensors many studies done faster calibration rate experimental results demonstrated decreasing labor work complete integrated design advanced computational techniques 87 %, respectively 8 satellite images enhancing agricultural practices average logic algorithm driven precision agriculture land using k land using iot identify suitable crop precision agriculture using rmse smart iot fuzzy logic agricultural analysis crop yield crop selection crop prediction land mapping chosen land xlink "> world population vegetation index vegetation area salinity index random forest multiple soil ml model machine learning lstm model loss function increasing demands findings highlight fertilizer requirements extracting indices decide whether based solar achieving accuracies |