Joshua Contreras, Ashley Goodnight, Quinn Parker, Nia Simon, Jonas Theumer, A. Zajić
{"title":"一种利用ka波段估算叶片含水量的无损方法","authors":"Joshua Contreras, Ashley Goodnight, Quinn Parker, Nia Simon, Jonas Theumer, A. Zajić","doi":"10.1109/ORSS58323.2023.10161922","DOIUrl":null,"url":null,"abstract":"In this paper we demonstrate the use of Ka-band microwave transmission for remote measurement of relative water content (RWC) in leaves. The system, consisting of commercially available horn antennas connected to a vector network analyzer, offers a simple, inexpensive, and low-energy design compared to other non-destructive methods like terahertz spectroscopy. In addition, Ka-band frequency electronic components require less power and can be used in a wider range of environments. Using leaf samples from the Spathiphyllum Wallisii plant, we derived a model that accepts the power transmitted through the leaf as input and outputs an estimate for the RWC and a recommendation on whether or not to water the plant. We verify our model by comparing it to RWC values obtained from a standard method based on weighing the leaf and soaking/dehydrating it. Results indicate that the approach is valid with acceptable model performance. Further work is proposed to improve robustness and accuracy.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Non-Destructive Method to Estimate Leaf Water Content Using the Ka-Band\",\"authors\":\"Joshua Contreras, Ashley Goodnight, Quinn Parker, Nia Simon, Jonas Theumer, A. Zajić\",\"doi\":\"10.1109/ORSS58323.2023.10161922\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we demonstrate the use of Ka-band microwave transmission for remote measurement of relative water content (RWC) in leaves. The system, consisting of commercially available horn antennas connected to a vector network analyzer, offers a simple, inexpensive, and low-energy design compared to other non-destructive methods like terahertz spectroscopy. In addition, Ka-band frequency electronic components require less power and can be used in a wider range of environments. Using leaf samples from the Spathiphyllum Wallisii plant, we derived a model that accepts the power transmitted through the leaf as input and outputs an estimate for the RWC and a recommendation on whether or not to water the plant. We verify our model by comparing it to RWC values obtained from a standard method based on weighing the leaf and soaking/dehydrating it. Results indicate that the approach is valid with acceptable model performance. Further work is proposed to improve robustness and accuracy.\",\"PeriodicalId\":263086,\"journal\":{\"name\":\"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ORSS58323.2023.10161922\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ORSS58323.2023.10161922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Non-Destructive Method to Estimate Leaf Water Content Using the Ka-Band
In this paper we demonstrate the use of Ka-band microwave transmission for remote measurement of relative water content (RWC) in leaves. The system, consisting of commercially available horn antennas connected to a vector network analyzer, offers a simple, inexpensive, and low-energy design compared to other non-destructive methods like terahertz spectroscopy. In addition, Ka-band frequency electronic components require less power and can be used in a wider range of environments. Using leaf samples from the Spathiphyllum Wallisii plant, we derived a model that accepts the power transmitted through the leaf as input and outputs an estimate for the RWC and a recommendation on whether or not to water the plant. We verify our model by comparing it to RWC values obtained from a standard method based on weighing the leaf and soaking/dehydrating it. Results indicate that the approach is valid with acceptable model performance. Further work is proposed to improve robustness and accuracy.