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הנהלה מרכז מידע - ספריה תלמידי מחקר יחידה עסקית דוברות מכוני מחקר אודות
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הנדסה חקלאית

הנדסת מערכות גידול, ייצור וסביבה

  • שטנברג גיאורגי e-mail צוות:Dr. Shlomo Blum
    Novel miniaturized optical sensing platform for rapid detection and characterization of botulinum toxin
    The overall goal of this project is to develop a generic integrated biosensing platform for the detection of BoNT by assessing the toxin’s type and its activity. We plan to design and fabricate a self-reporting lab-on-chip platform, based on optical transduction that evaluates in real-time the presence and the activity state of these toxins and deduces the source of the animal’s disease. Thus, potentially allowing for rapid, sensitive and specific analysis with respect to the gold standard method – the MLA.
  • שטנברג גיאורגי e-mail צוות:Dr. Nirala
    Triple-Mode Optical Platform for Real-Time Screening of Water Bodies Pollutants
    The overall aim of this project is to develop an integrated biosensing platform for “on-site” detection of multiplex pollutants in water bodies. We plan to design and fabricate a sophisticated remote controlled device, based on triple-mode detection (reflectance based) that evaluates in real-time the presence of trace levels of pollutants and the overall safety of water samples. The biosensing platform will combine PSi scaffold (dedicated for bacteria and excessive nutrients contamination) and hybrid AuNPs (designed to react in the presence of metallic constituents) offering unique spectral analysis conducted within a single-device platform.
  • שטנברג גיאורגי e-mail צוות:Prof. Volker Kromker
    Early Detection of Mastitis in Dairy Cows based on Lab-on-Chip Device
    The overall aim of this project is to develop a generic integrated biosensing platform for the detection of clinical BM. We plan to design and fabricate a self-reporting “lab-on-chip” platform that evaluates in real-time the quality and safety of milk samples. The biosensing platform will be based on a relatively new class of label-free optical biosensor applicable for diverse analytes detection.50-52 Specifically, the biosensing platform will be designed for the detection of (a) specific BM predicting biomarkers and (b) causative bacterial species in milk.

הנדסת מערכות חישה, מידע ומיכון

  • כהן יפית e-mail צוות:Dr. Victor Alchanatis, Dr. Alon Ben-Gal, Dr. Yishai Netser
    Digital ag: Fusion of aerial thermal and satellite multi-spectral imaging for remote sensing-based irrigation management
    Satellite thermal imaging have coarse spatial resolution and aerial platforms require substantial financial investments, which may inhibit their large-scale adoption. The study aims to increase the capacity of aerial thermal imaging by fusing satellite multi-spectral images in the VIS-NIR range. The study incorporates image processing and "big-data" analysis techniques (deep and machine learning) The successful candidate is expected to develop semi-automatic tools for near-real-time acquisition and analysis of aerial and satellite images of different characteristics, lead the research, and summarize the results in reports and scientific publications.
  • כהן יפית e-mail צוות:Dr. Victor Alchanatis, Dr. Alon Ben-Gal, Dr. Aviva peeters, Prof. George Vellidis.
    Precision agriculture: Dynamic irrigation management zones using multivariable layers and spatial statistics
    To use variable rate irrigation systems, a field is divided into irrigation management zones (IMZs). While IMZs are dynamic in nature, most of IMZs prescription maps are static. In this study we explore and develop various approaches to delineate dynamic irrigation management zones using remote-sensing, GIS, image processing and spatial statistics. The successful candidate is expected to develop semi-automatic tools for near-real-time acquisition and analysis of aerial and satellite images of different characteristics, lead the research, and summarize the results in reports and scientific publications.
  • קלפ יפתח e-mail צוות:None
    End to end electro-optics system for agricultural-biological systems under environmental conditions
    The Agro-Optics and Sensing lab is focused on removing the acquisition barriers in optical sensing of agricultural-biological systems under environmental conditions. In the first project, the research is focused on water quality problems. In a second project, the research focus on advance fruit content analysis. Both projects require the establishment of an active electro-optics and machine learning systems. The research confronts the mutual relation between machine learning algorithm, light propagation in an optical system, interaction of light ant mater in biological water environment micro-biology and chemical lab experiments. Upon his or her skills the researcher will be involved in one of the two proposed projects and other activities of the laboratory.
  • אלחנתי ויקטור e-mail צוות:Prof. Raphael Linker, Technion
    Development of a variable rate drip irrigation system
    This research projects aims to develop an irrigation system which can deliver variable rates of irrigation using drip irrigation systems. A first conceptual design has been performed, and a first prototype has been constructed. The current work aims to focus on detailed design and construction of prototypes; to characterize its performance in terms of fluidics and mechanics; to extend the specifications of the first design to additional features; to test the prototypes in lab and field conditions; and to incorporate manufacturing principles to design a component that might be produced in mass production.
  • אלחנתי ויקטור e-mail צוות:Dr. Yafit Cohen Dr. Amos Naor
    Improving the performance of UAV acquired thermal infrared imaging for field crops irrigation management
    Crop canopy temperature has been shown to be indicative of water status. Statistical models linking between normalized canopy temperature indices and crop physioligical paramters have been also developed, based on zenith acquired images around midday. In order to expand acquisition of images through UAVs, the throughput has to be increased. This works aims to increase UAV thermal images acquisition throughput by 1) determining the off-zenith angles that enable reliable canopy temperature mapping and 2) develop procedures to extend the acquisition time interval as wide as possible around the solar zenith 3) Develop procedures for reliable estimation of the minimum reference temperature for canopy water status estimation
מעודכן לתאריך: 08/07/19 13:57
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