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Public Lecture on Nanotechnology and Medicine at NM-AIST

  • March 18, 2025
  • Timothy Malando
  • General Announcements, LiSBE
The Nelson Mandela African Institution of Science and Technology (NM-AIST) hosted a public lecture on 14 March 2025 organized by
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NM-AIST Hosts a workshop on One Health Challenges and Opportunities in livestock keeping communities.

  • February 24, 2025
  • Tumsifu Aminirabi
  • General Announcements, LiSBE, Projects - LiSBE
On February 20, 2025, the Nelson Mandela African Institution of Science and Technology (NM-AIST) opened a two-day workshop focused on
Continue Reading

Intelligent Fruit Fly Trap: An automated system for monitoring Oriental fruit flies (Bactrocera dorsalis) in mango farms

  • April 1, 2024
  • Loyani Loyani
  • LiSBE, Projects - LiSBE
Research Problem Manual inspection of the pests (Bactrocera dorsalis) in large mango farms to estimate the infestation levels is time-consuming
Continue Reading

Automated Poultry Diseases Diagnostics using Deep Learning

  • April 1, 2024
  • Loyani Loyani
  • LiSBE, Projects - LiSBE
Objective The project seeks to develop a poultry diseases diagnostics tool using deep learning for poultry farmers in Tanzania. The
Continue Reading

A Hyperspectral-Based System for Identification of Common Bean Genotypes Resistant to Foliar Diseases in Tanzania.

  • April 1, 2024
  • Loyani Loyani
  • LiSBE, Projects - LiSBE
Research Problem Common bean is one of many legumes (family Fabaceae) widely cultivated for their edible seeds, seedpods, and leaves.
Continue Reading

Intelligent Fruit Fly Trap: An automated system for monitoring Oriental fruit flies (Bactrocera dorsalis) in mango farms

  • March 31, 2024
  • Loyani Loyani
  • LiSBE, Research Awards - LiSBE
Research Problem Manual inspection of the pests (Bactrocera dorsalis) in large mango farms to estimate the infestation levels is time-consuming
Continue Reading

Automated Poultry Diseases Diagnostics using Deep Learning

  • March 31, 2024
  • Loyani Loyani
  • LiSBE, Research Awards - LiSBE
Objective The project seeks to develop a poultry diseases diagnostics tool using deep learning for poultry farmers in Tanzania. The
Continue Reading

A Hyperspectral-Based System for Identification of Common Bean Genotypes Resistant to Foliar Diseases in Tanzania.

  • March 31, 2024
  • Loyani Loyani
  • LiSBE, Research Awards - LiSBE
Research Problem Common bean is one of many legumes (family Fabaceae) widely cultivated for their edible seeds, seedpods, and leaves.
Continue Reading

Automated Poultry Diseases Diagnostics using Deep Learning

  • March 31, 2024
  • Loyani Loyani
  • LiSBE, Research Impacts - LiSBE
Objective The project seeks to develop a poultry diseases diagnostics tool using deep learning for poultry farmers in Tanzania. The
Continue Reading

Intelligent Fruit Fly Trap: An automated system for monitoring Oriental fruit flies (Bactrocera dorsalis) in mango farms

  • March 31, 2024
  • Loyani Loyani
  • LiSBE, Research Impacts - LiSBE
Research Problem Manual inspection of the pests (Bactrocera dorsalis) in large mango farms to estimate the infestation levels is time-consuming
Continue Reading

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