{"id":104244,"date":"2019-12-11T16:24:14","date_gmt":"2019-12-11T15:24:14","guid":{"rendered":"https:\/\/ilot.lukasiewicz.gov.pl\/lukasiewicz-instytut-lotnictwa-udostepnia-dane-referencyjne-dla-zobrazowan-hiperspektralnych-biomasy-i-zdalnej-detekcji-mikroorganizmow\/"},"modified":"2025-11-24T17:03:05","modified_gmt":"2025-11-24T16:03:05","slug":"lukasiewicz-instytut-lotnictwa-udostepnia-dane-referencyjne-dla-zobrazowan-hiperspektralnych-biomasy-i-zdalnej-detekcji-mikroorganizmow","status":"publish","type":"post","link":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/lukasiewicz-instytut-lotnictwa-udostepnia-dane-referencyjne-dla-zobrazowan-hiperspektralnych-biomasy-i-zdalnej-detekcji-mikroorganizmow\/","title":{"rendered":"\u0141ukasiewicz \u2013 Institute of Aviation provides reference data for biomass hyperspectral imaging and remote detection of microorganisms"},"content":{"rendered":"<h2>In the Remote Sensing Department in the \u0141ukasiewicz Research Network \u2013 Institute of Aviation, storing and sharing a service of reference multispectral data has been launched. The M<sup>2<\/sup>INAVI database enables the analysis of multispectral imaging using unmanned systems and in designed future space missions as well as the remote detection of selected objects such as pathogens in forestry, agriculture, and horticulture or remote detection of microbiological pollution. It can be treated as an element of IoT systems enabling archiving and ongoing analysis of images for any unmanned system with Internet access.<\/h2>\n<p>The database has been placed in the Microsoft Azure cloud. The developed solution is fully scalable for the needs of both: small and large enterprises located in every part of the world.<\/p>\n<p>\u201cCurrently, in the database, we have published signatures of methanogenic archaea, bacteria, including extremophiles, provided by the Institute of Biochemistry and Biophysics of the Polish Academy of Sciences. In the project carried out this year at \u0141ukasiewicz \u2013 Institute of Aviation, we have successfully completed an attempt to detect them remotely in the analog of the environment characteristic of the \u201cTiger Stripes\u201d \u2013 area at the South Pole of Enceladus, the moon of Saturn\u201d says an expert of the astrobiology section of the Polish Academy of Sciences and an employee of the Remote Sensing Department, Katarzyna Kubiak, PhD.<\/p>\n<p>\u201cThe integration of the camera with the M<sup>2<\/sup>INAVI database in the architecture of the intelligent edge device allowed the separation of various types of components in multispectral images taken in a vacuum chamber. Image processing in this IT architecture has been divided into two domains: configurable processes located next to the camera and processes in the cloud, based on machine learning methods and signatures from the M2INAVI database\u201d describes Jan Kotlarz from the Remote Sensing Department.<\/p>\n<p>A similar implementation concept, using special sensors and unmanned systems, is currently used as part of Task 2 of the FITOEXPORT Project (GOSPOSTRATEG 1\/385957\/5\/NCBR\/2018) titled \u201c<a title=\"Opens in a new window\" href=\"https:\/\/piorin.gov.pl\/gospostrateg\">Increasing competitiveness of Polish plant products in international markets by improving quality and phytosanitary safety<\/a>\u201d financed by the GOSPOSTRATEG NCBiR program.<\/p>\n<p>\u201cIn the database, we collect spectral signatures of pathogens under the control of the State Plant Health and Seed Inspection Service (e.g. fungi responsible for bitter and brown apple rot, or\u00a0<em>E.amylovora bacteria<\/em>\u00a0responsible for apple blight). Hyperspectral data of leaves infected with\u00a0<em>Erwinina Amylovora<\/em>\u00a0were collected at all stages of the disease \u2013 from the day of inoculation until the appearance of visible symptoms on the leaves and fruits\u201d says the head of Task 2 of the FITOEXPORT Project Hubert Skoneczny.<\/p>\n<p>The available apple leaf markings infected with fire blight were taken from material provided by the Institute of Horticulture in Skierniewice. They are a source of data about the processes occurring during the infection and can be used to prevent it in the orchard. Leaf spectral signatures, included in the M2INAVI database, will be used for further work aimed at developing new methods of vetting crops.<\/p>\n<p>In addition to browsing signatures, the ComparSpec tool is also available in the M<sup>2<\/sup>INAVI database to compare collected signatures.<\/p>\n<p>The M<sup>2<\/sup>INAVI database is available at\u00a0<a title=\"Opens in a new window\" href=\"http:\/\/www.ilot.edu.pl\/m2inavi\">www.ilot.edu.pl\/m2inavi<\/a>.\u200b<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the Remote Sensing Department in the \u0141ukasiewicz Research Network \u2013 Institute of Aviation, storing and sharing a service of reference multispectral data has been launched. The M2INAVI database enables the analysis of multispectral imaging using unmanned systems and in designed future space missions as well as the remote detection of selected objects such as [&hellip;]<\/p>\n","protected":false},"author":208,"featured_media":72003,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[1185,1186,1187,1188,1189,1190,1191,1192,1193,1194,971,935],"class_list":["post-104244","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-dane-wielospektralne","tag-fitoexport","tag-iot","tag-lesnictwo","tag-m2inavi","tag-mikrobiologia","tag-misje-kosmiczne","tag-nowoczesne-rolnictwo","tag-rolnictwo","tag-sadownictwo","tag-systemy-bezzalogowe","tag-teledetekcja"],"acf":{"czas_czytania":"3"},"publishpress_future_action":{"enabled":false,"date":"2026-05-16 07:39:47","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/posts\/104244","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/users\/208"}],"replies":[{"embeddable":true,"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/comments?post=104244"}],"version-history":[{"count":1,"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/posts\/104244\/revisions"}],"predecessor-version":[{"id":104245,"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/posts\/104244\/revisions\/104245"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/media\/72003"}],"wp:attachment":[{"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/media?parent=104244"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/categories?post=104244"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ilot.lukasiewicz.gov.pl\/en\/wp-json\/wp\/v2\/tags?post=104244"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}