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dc.contributor.advisorSigalingging, Riswanti
dc.contributor.authorPasaribu, Rangga Resna Immanuel
dc.date.accessioned2023-01-19T02:38:18Z
dc.date.available2023-01-19T02:38:18Z
dc.date.issued2022
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/80682
dc.description.abstractFood Estate is a program that is run to maintain food security. Shallots as one of the selected commodities in this program will be cultivated with a digital farming system called Netbeat. Netbeat is a smart farming system that is used to simplify the cultivation process by controlling plants digitally. The influence of the environment and the treatment given during the cultivation process will affect the photosynthetic energy, where this can be observed from the greenness of the plant through the resulting vegetation index. Netbeat using Sentinel 2 satellite can calculate vegetation index algorithms in the form of NDVI (Normalized Difference Vegetation Index), NDRE (Normalized Difference Red Edge), and MSAVI (Modified Soil Adjusted Vegetation Index). By analyzing the seeds and bulbs of the Lokananta, Sanren F1 and Maserati varieties of shallots through the bomb calorimeter test, the results of the calculation of photosynthetic energy through the vegetation index can be compared. The results of the tuber bomb calorimeter test showed that the total calories produced were not optimal, where the heat test results were influenced by the water content and weight of the tubers. From the results of the vegetation index, the index range between 0.08-0.37 indicates that the plant has an unhealthy condition. Even in the value of photosynthetic energy efficiency produced, the percent efficiency is only around 0.1-1.7%, where the photosynthetic energy efficiency of shallots should reach 5.18%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectvegetation indexen_US
dc.subjectphotosynthetic energyen_US
dc.subjectdigital farmingen_US
dc.subjectFood Estateen_US
dc.titleAnalisa Energi Fotosintesis pada Produksi Bawang Merah (Allium Ascalonicum L.) Sistem Digital Farmingen_US
dc.typeThesisen_US
dc.identifier.nimNIM180308059
dc.identifier.nidnNIDN0007058006
dc.identifier.kodeprodiKODEPRODI54208#Teknik Pertanian dan Biosistem
dc.description.pages81 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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