WKP|Q90271491

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Leader		00000nz a2200037n 45 0
001		WKP\|Q90271491 (VIAF cluster) (Authority/Source Record)
003		WKP
005		20241020233043.0
008		241020nneanz\|\|abbn n and d
035		‎‡a (WKP)Q90271491‏
024		‎‡a 0000-0001-8122-5487‏ ‎‡2 orcid‏
024		‎‡a 55731962700‏ ‎‡2 scopus‏
035		‎‡a (OCoLC)Q90271491‏
100	0	‎‡a José Miguel Molina Martínez‏ ‎‡c researcher (ORCID 0000-0001-8122-5487)‏ ‎‡9 en‏
375		‎‡a 1‏ ‎‡2 iso5218‏
400	0	‎‡a José Miguel Molina Martínez‏ ‎‡c wetenschapper‏ ‎‡9 nl‏
670		‎‡a Author's A Machine Learning Method to Estimate Reference Evapotranspiration Using Soil Moisture Sensors‏
670		‎‡a Author's Analysis of the Functionality of the Feed Chain in Olive Pitting, Slicing and Stuffing Machines by IoT, Computer Vision and Neural Network Diagnosis‏
670		‎‡a Author's Crop Coefficient Estimation and Effect of Abscisic Acid on Red Cabbage Plants (Brassica oleracea var. Capitata) under Water-Stress Conditions‏
670		‎‡a Author's Estimation of the Evapotranspiration and Crop Coefficients of Bell Pepper Using a Removable Weighing Lysimeter: A Case Study in the Southeast of Spain‏
670		‎‡a Author's Study of the Influence of Temperature on Boron Concentration Estimation in Desalinated Seawater for Agricultural Irrigation‏
909		‎‡a (orcid) 0000000181225487‏ ‎‡9 1‏
909		‎‡a (scopus) 55731962700‏ ‎‡9 1‏
919		‎‡a cropcoefficientestimationandeffectofabscisicacidonredcabbageplantsbrassicaoleraceavarcapitataunderwaterstressconditions‏ ‎‡A Crop Coefficient Estimation and Effect of Abscisic Acid on Red Cabbage Plants (Brassica oleracea var. Capitata) under Water-Stress Conditions‏ ‎‡9 1‏
919		‎‡a studyoftheinfluenceoftemperatureonboronconcentrationestimationindesalinatedseawaterforagriculturalirrigation‏ ‎‡A Study of the Influence of Temperature on Boron Concentration Estimation in Desalinated Seawater for Agricultural Irrigation‏ ‎‡9 1‏
919		‎‡a estimationoftheevapotranspirationandcropcoefficientsofbellpepperusingaremovableweighinglysimeteracasestudyinthesoutheastofspain‏ ‎‡A Estimation of the Evapotranspiration and Crop Coefficients of Bell Pepper Using a Removable Weighing Lysimeter: A Case Study in the Southeast of Spain‏ ‎‡9 1‏
919		‎‡a machinelearningmethodtoestimatereferenceevapotranspirationusingsoilmoisturesensors‏ ‎‡A A Machine Learning Method to Estimate Reference Evapotranspiration Using Soil Moisture Sensors‏ ‎‡9 1‏
919		‎‡a analysisofthefunctionalityofthefeedchaininolivepittingslicingandstuffingmachinesbyiotcomputervisionandneuralnetworkdiagnosis‏ ‎‡A Analysis of the Functionality of the Feed Chain in Olive Pitting, Slicing and Stuffing Machines by IoT, Computer Vision and Neural Network Diagnosis‏ ‎‡9 1‏
946		‎‡a b‏ ‎‡9 1‏
996		‎‡2 CAOONL\|ncf10725760‏
996		‎‡2 BNE\|XX1169360‏
996		‎‡2 BNE\|XX1240983‏
996		‎‡2 BNE\|XX1678817‏
996		‎‡2 SUDOC\|262920077‏
996		‎‡2 ISNI\|0000000120723044‏
996		‎‡2 LC\|n 80164418‏
996		‎‡2 RERO\|A022266665‏
996		‎‡2 CAOONL\|ncf10508896‏
996		‎‡2 ISNI\|0000000059263084‏
996		‎‡2 BNC\|981058514883606706‏
996		‎‡2 ISNI\|0000000059468936‏
996		‎‡2 LC\|no2015075481‏
996		‎‡2 BNC\|981058522584106706‏
996		‎‡2 SUDOC\|083279784‏
996		‎‡2 PTBNP\|1841812‏
996		‎‡2 DBC\|87097991514540‏
996		‎‡2 NSK\|000178731‏
996		‎‡2 LC\|n 93080350‏
996		‎‡2 BNE\|XX1177196‏
996		‎‡2 LC\|no2003114421‏
996		‎‡2 DNB\|1161959602‏
996		‎‡2 BNE\|XX1021023‏
996		‎‡2 ISNI\|0000000059275739‏
996		‎‡2 SUDOC\|128214511‏
996		‎‡2 ISNI\|0000000059459247‏
996		‎‡2 BNF\|15926540‏
996		‎‡2 SUDOC\|03300255X‏
996		‎‡2 BNE\|XX1736133‏
996		‎‡2 ISNI\|0000000037144471‏
996		‎‡2 BNE\|XX1074446‏
996		‎‡2 NUKAT\|n 2007147618‏
996		‎‡2 BNE\|XX1004924‏
996		‎‡2 LC\|no2010092786‏
996		‎‡2 PLWABN\|9810693348905606‏
996		‎‡2 BNF\|17726812‏
996		‎‡2 ISNI\|0000000078274061‏
996		‎‡2 SUDOC\|241968402‏
996		‎‡2 BNE\|XX906146‏
996		‎‡2 NII\|DA13129586‏
996		‎‡2 DNB\|1286434378‏
996		‎‡2 BNF\|14613940‏
996		‎‡2 BNE\|XX931395‏
996		‎‡2 BNE\|XX5376527‏
996		‎‡2 BNC\|981058516285606706‏
996		‎‡2 BNE\|XX1042777‏
996		‎‡2 ISNI\|000000005941476X‏
996		‎‡2 BNF\|16253402‏
996		‎‡2 SUDOC\|140560521‏
996		‎‡2 LC\|ns2015003013‏
996		‎‡2 ISNI\|0000000117511825‏
996		‎‡2 BNE\|XX1019830‏
996		‎‡2 LC\|no2009174023‏
996		‎‡2 SUDOC\|032068670‏
996		‎‡2 BNC\|981058529939106706‏
996		‎‡2 ISNI\|0000000357292369‏
996		‎‡2 ISNI\|0000000119927787‏
996		‎‡2 BNE\|XX4660253‏
996		‎‡2 CAOONL\|ncf11946421‏
996		‎‡2 ISNI\|0000000079143207‏
996		‎‡2 BNE\|XX1452264‏
996		‎‡2 LC\|n 83033399‏
996		‎‡2 JPG\|500290317‏
996		‎‡2 ISNI\|0000000060200689‏
996		‎‡2 LC\|nr 88010765‏
996		‎‡2 BNE\|XX1201034‏
996		‎‡2 BNE\|XX1052374‏
996		‎‡2 BNE\|XX5451149‏
996		‎‡2 NTA\|355132818‏
996		‎‡2 BNE\|XX1305878‏
996		‎‡2 J9U\|987007371756705171‏
996		‎‡2 DNB\|142345520‏
996		‎‡2 DNB\|137954999‏
996		‎‡2 BNE\|XX1098817‏
996		‎‡2 ISNI\|0000000054499178‏
996		‎‡2 SUDOC\|098992015‏
996		‎‡2 ISNI\|0000000116382718‏
996		‎‡2 BNE\|XX1645488‏
996		‎‡2 BNE\|XX821540‏
996		‎‡2 ISNI\|0000000065488319‏
996		‎‡2 LC\|no2016138856‏
996		‎‡2 BNE\|XX1040082‏
996		‎‡2 DNB\|1317676211‏
996		‎‡2 LC\|n 82152770‏
996		‎‡2 BNE\|XX5128490‏
996		‎‡2 RERO\|A003568455‏
996		‎‡2 BIBSYS\|15017899‏
996		‎‡2 RERO\|A000072061‏
996		‎‡2 BNE\|XX4612974‏
996		‎‡2 BNE\|XX855764‏
996		‎‡2 ISNI\|0000000059409194‏
996		‎‡2 BIBSYS\|13026456‏
996		‎‡2 LC\|n 50066928‏
996		‎‡2 SUDOC\|074623036‏
996		‎‡2 BNE\|XX1620909‏
996		‎‡2 BIBSYS\|7001834‏
996		‎‡2 BNC\|981058511939406706‏
996		‎‡2 BNE\|XX991398‏
996		‎‡2 NLA\|000035331579‏
996		‎‡2 ISNI\|000000004545033X‏
996		‎‡2 LC\|n 2010077968‏
996		‎‡2 PLWABN\|9810686821505606‏
996		‎‡2 LC\|no2006094225‏
996		‎‡2 BNF\|16668677‏
996		‎‡2 BNE\|XX1195454‏
996		‎‡2 ISNI\|0000000116559915‏
996		‎‡2 BNE\|XX1098881‏
996		‎‡2 BNF\|12272557‏
996		‎‡2 ISNI\|0000000060062589‏
996		‎‡2 LC\|ns2016004096‏
996		‎‡2 BNCHL\|10000000000000000011586‏
996		‎‡2 BNE\|XX1712765‏
996		‎‡2 ISNI\|0000000047244679‏
996		‎‡2 ISNI\|0000000073247363‏
996		‎‡2 BNE\|XX4666950‏
996		‎‡2 SUDOC\|11009347X‏
996		‎‡2 BNC\|981058516396506706‏
996		‎‡2 ISNI\|0000000068387935‏
996		‎‡2 LC\|no2009102410‏
996		‎‡2 BNF\|17016228‏
996		‎‡2 DNB\|11925042X‏
996		‎‡2 J9U\|987007396004905171‏
996		‎‡2 BNE\|XX1062166‏
996		‎‡2 NUKAT\|n 2017236828‏
996		‎‡2 RERO\|A018645309‏
996		‎‡2 BNC\|981058525635706706‏
996		‎‡2 NUKAT\|n 2015226235‏
996		‎‡2 BLBNB\|001573958‏
996		‎‡2 NUKAT\|n 2004082607‏
996		‎‡2 LC\|no2010132940‏
996		‎‡2 LC\|no 96058865‏
996		‎‡2 BNE\|XX1780468‏
996		‎‡2 BNE\|XX852575‏
996		‎‡2 PTBNP\|1705908‏
996		‎‡2 ISNI\|0000000059626842‏
996		‎‡2 ISNI\|000000002954300X‏
996		‎‡2 DNB\|129602663‏
996		‎‡2 SUDOC\|130004502‏
996		‎‡2 SUDOC\|069156778‏
996		‎‡2 LC\|ns2019000800‏
996		‎‡2 BIBSYS\|12073237‏
996		‎‡2 LC\|no2010092794‏
996		‎‡2 BNE\|XX960348‏
996		‎‡2 ISNI\|0000000059387677‏
996		‎‡2 BNF\|12316910‏
996		‎‡2 DNB\|1057457388‏
996		‎‡2 BNE\|XX1058913‏
996		‎‡2 ISNI\|0000000113286085‏
996		‎‡2 BNE\|XX1761594‏
996		‎‡2 NTA\|128401974‏
996		‎‡2 SUDOC\|167012371‏
996		‎‡2 NUKAT\|n 2020152731‏
996		‎‡2 ISNI\|0000000052854199‏
996		‎‡2 DNB\|1056292261‏
996		‎‡2 BNE\|XX909538‏
996		‎‡2 BNF\|16000748‏
996		‎‡2 BNE\|XX936218‏
996		‎‡2 ISNI\|000000011579717X‏
996		‎‡2 BNE\|XX1645135‏
996		‎‡2 SUDOC\|08965353X‏
996		‎‡2 BNF\|18046459‏
996		‎‡2 LC\|no2013042732‏
996		‎‡2 NTA\|173012299‏
996		‎‡2 J9U\|987007394282105171‏
996		‎‡2 BNC\|981058516315206706‏
996		‎‡2 BNE\|XX1107374‏
996		‎‡2 BNE\|XX1023389‏
996		‎‡2 J9U\|987007327546405171‏
996		‎‡2 BIBSYS\|90697269‏
996		‎‡2 BNE\|XX1702404‏
996		‎‡2 ISNI\|000000006041760X‏
996		‎‡2 BNCHL\|10000000000000000114110‏
996		‎‡2 BNE\|XX1039326‏
996		‎‡2 BNE\|XX5144072‏
996		‎‡2 SUDOC\|179417401‏
996		‎‡2 BNC\|981058521940406706‏
996		‎‡2 LC\|no2008149057‏
996		‎‡2 BNC\|981058513774206706‏
996		‎‡2 ISNI\|0000000059684022‏
996		‎‡2 BNC\|981061137376106706‏
996		‎‡2 J9U\|987007445356805171‏
996		‎‡2 DNB\|1057367060‏
996		‎‡2 SUDOC\|26427556X‏
996		‎‡2 BNE\|XX905858‏
996		‎‡2 BNE\|XX857542‏
996		‎‡2 SUDOC\|225247046‏
996		‎‡2 BNE\|XX892221‏
996		‎‡2 LC\|no2009153130‏
996		‎‡2 BLBNB\|001424208‏
996		‎‡2 RERO\|A018802662‏
996		‎‡2 BIBSYS\|99047729‏
996		‎‡2 LC\|n 2013059063‏
996		‎‡2 BNE\|XX1738063‏
996		‎‡2 LC\|no2010174119‏
996		‎‡2 BNE\|XX1730072‏
996		‎‡2 ISNI\|0000000059416458‏
996		‎‡2 ISNI\|0000000059922545‏
996		‎‡2 BLBNB\|000220412‏
996		‎‡2 LC\|n 84077572‏
996		‎‡2 LC\|n 82033231‏
996		‎‡2 CAOONL\|ncf10675240‏
996		‎‡2 ISNI\|0000000448051229‏
996		‎‡2 ISNI\|000000006144743X‏
996		‎‡2 ISNI\|0000000109172042‏
996		‎‡2 NII\|DA10964485‏
996		‎‡2 ISNI\|0000000116351954‏
996		‎‡2 BNE\|XX4863807‏
996		‎‡2 NYNYRILM\|155803‏
996		‎‡2 JPG\|500014969‏
996		‎‡2 ISNI\|0000000114886496‏
996		‎‡2 BNF\|12391395‏
996		‎‡2 ISNI\|0000000115680529‏
996		‎‡2 BNE\|XX871816‏
996		‎‡2 BNE\|XX933411‏
996		‎‡2 ISNI\|0000000059319017‏
996		‎‡2 LC\|n 50053385‏
996		‎‡2 BNF\|15050815‏
996		‎‡2 SUDOC\|078695651‏
996		‎‡2 ISNI\|0000000038243383‏
996		‎‡2 BNE\|XX1703628‏
996		‎‡2 BNE\|XX1673748‏
996		‎‡2 NUKAT\|n 2012067284‏
996		‎‡2 SUDOC\|103190082‏
996		‎‡2 SUDOC\|184596947‏
996		‎‡2 BNE\|XX5471613‏
996		‎‡2 LC\|no2009002631‏
996		‎‡2 LC\|n 88056199‏
996		‎‡2 ISNI\|0000000120908583‏
996		‎‡2 ISNI\|0000000059985482‏
996		‎‡2 ISNI\|0000000059502348‏
996		‎‡2 LC\|no2010142382‏
996		‎‡2 BNE\|XX1196546‏
996		‎‡2 DNB\|1157143040‏
996		‎‡2 BNF\|11991105‏
996		‎‡2 ISNI\|0000000047197200‏
996		‎‡2 BNE\|XX822394‏
996		‎‡2 BNE\|XX5851506‏
996		‎‡2 DNB\|172654920‏
996		‎‡2 BNE\|XX1648629‏
996		‎‡2 LC\|no2009194273‏
996		‎‡2 BNE\|XX1030151‏
996		‎‡2 BNE\|XX1235772‏
996		‎‡2 BNF\|16715028‏
996		‎‡2 BNE\|XX943137‏
996		‎‡2 LC\|n 84168774‏
996		‎‡2 BNF\|13975666‏
996		‎‡2 LC\|no2004117338‏
996		‎‡2 BNE\|XX957452‏
996		‎‡2 SUDOC\|130279099‏
996		‎‡2 ISNI\|0000000116822605‏
997		‎‡a 0 0 lived 0 0‏ ‎‡9 1‏

VIAF

Virtual International Authority File

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