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Menu
  • Home
  • About Us
    • Message from VC
    • Institution History
    • Mission & Vision
    • Governance and Leadership
      • Executive Management
      • NM-AIST Council
      • NM-AIST Organogram
    • Departments and Units
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    • Life Sciences and Bio-Engineering (LiSBE)
    • Computational and Communication Science and Engineering (CoCSE)
    • Materials, Energy, Water and Environmental Sciences (MEWES)
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  • Directorates
    • Academic Affairs
    • Research and Innovation
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  • Admission
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    • Fee Structure
  • Services
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    • High Performance Computing (HPC)
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Intelligent Fruit Fly Trap: An automated system for monitoring Oriental fruit flies (Bactrocera dorsalis) in mango farms

  • April 4, 2024
  • Loyani Loyani
  • MEWES, Projects MEWES
Research Problem Manual inspection of the pests (Bactrocera dorsalis) in large mango farms to estimate the infestation levels is time-consuming
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Automated Poultry Diseases Diagnostics using Deep Learning

  • April 4, 2024
  • Loyani Loyani
  • MEWES, Projects MEWES
Objective The project seeks to develop a poultry diseases diagnostics tool using deep learning for poultry farmers in Tanzania. The
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A Hyperspectral-Based System for Identification of Common Bean Genotypes Resistant to Foliar Diseases in Tanzania.

  • April 4, 2024
  • Loyani Loyani
  • MEWES, Projects MEWES
Research Problem Common bean is one of many legumes (family Fabaceae) widely cultivated for their edible seeds, seedpods, and leaves.
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Recent Posts

Dr. Fred Msemwa Commends NM-AIST for Advancing Innovation in Support of Vision 2050 and Industrial Economy
HEET Project Hits 74.3% Implementation Milestone
Polish Ambassador Explores Collaborative Opportunities with NM-AIST
U.S. Acting Ambassador Pledges Stronger Ties with NM-AIST Arusha, Tanzania

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