Ms Faraja and Dr Neema with Ihenge farmers and Extension Officers
Ms Faraja and Dr Neema Nicodemus, members of the academic staff at SUA, were in charge of Gairo District data collection. They have taken pictures of five different crops. That is, spinach, bell pepper plant (Capsicum annuum), Brassica Chinensis, tomatoes, and maize from four wards in the district. Data on bell pepper plants, Brassica Chinensis, and maize were collected from Chigela village in the Ihenje ward. The crops are frequently affected by diseases like Bacterial leaf spots, Mosaic virus, Fusarium wilting disease (which affects plants from the roots), and Fall Armyworm in Maize.
Ms Susan Mbacho, a member of the academic staff at SUA, was privileged to be part of YEESI Lab DATA team. Ms Susan visited Mgeta ward located in Mvomero district, Morogoro Region in Tanzania. Ms Susan found out there were various crop species grown. With the assistance of an extension officer, Mr Eliewaha Venance Kivunge, they were able to visit fields with various crops. The crops include, among others, vegetables such as Cabbage, Green Pepper, carrot, and ‘Ngogwe/ Nyanya chungu’. During the field visit a number of farmers’ fields had grown cabbages. A number of plants were healthy in most of the fields visited, however they found unhealthy plants with pests or diseases as well. The disease which was prevailing in most of the field is black rot. There were also cabbage pests found, which caused the plant leaves to be damaged. Also, there were plants identified with deficiency of nutrients such as Phosphorus and Calcium. A very interesting dataset was collected and classify by the Extension Officer who is an expert in agriculture.
This is the first team to bring Nutrient Deficiency images for training. YEESI Lab is excited to explore all such wonderful brought by the team.
Dr. Alcardo Alex Barakabitze and his team from the Sokoine University of Agriculture, RECODA and Sahara Ventures announced among the winners of the Artificial Intelligence for Agriculture and Food Systems (AI4AFS) Innovation Research Network in Africa with the project titled “Enhancing Farm -scale Crop Yield Predictions using Machine Learning Models for Internet of Agro- Things in Tanzania”. It is worth mentioning that accurate prediction of crop yields at the farm scale can help smallholder farmers to estimate their net profit and enable insurance companies to ascertain payouts and agri-related loans to farmers.
Dr Barakabitze, Dr Fue and Dr Banzi from left with UDOM colleague at the workshop
The AI4D Multidisciplinary Research Lab is a project run in collaboration between two public academic institutions in Tanzania, The University of Dodoma (UDOM) & Nelson Mandela African Institution of Science and Technology (NM-AIST).
The AI4D lab presented a two-day workshop which took place from 10th-11th August 2022 conducted in hybrid (virtual and physical at the University of Dodoma, Dodoma - Tanzania). The workshop featured paper presentations, keynote talks, AI solutions demonstrations, and interactive panel discussions. The workshop explored issues around four thematic areas, namely: Healthcare, Environmental Conservation and Agriculture, Digital Economy and Small-Scale Enterprises, and AI Infrastructure and Data Ecosystem. Researchers, Innovators, Students, and Policymakers from across the continent participated.
YEESI Lab PI, Dr Kadeghe Fue and co-PI Dr Alcardo Barakabitze were among the people who were invited to present keynotes on AI for Agriculture and the work we do at YEESI Lab. See https://ai4dlab.or.tz/pages/ai4d-lab-workshop/speakers.html.
Dr Fue and Dr Barakabitze presented well for the YEESI Lab and demonstrated the way forward in the development and implementation of the AI-based machine vision systems in Agriculture.
18 August 2022
YEESI lab, in collaboration with the DICT office at SUA, shared one desk to demonstrate and exhibit work done by YEESI Lab.
Nane Nane Day on 8 August celebrates to recognize the important contribution of farmers to the national Tanzanian economy. Nane Nane means "eight eight" in Swahili, the national language of Tanzania (and of Tanganyika and Zanzibar, the two countries whose union created the United Republic of Tanzania in 1964).
Nane Nane also may refer to the Agricultural Exhibition, a one-week fair that takes place every year around this date [8/8] in varying locations of Tanzania. In the Nane Nane Agricultural Exhibition, farmers and other agricultural stakeholders (e.g., universities and research institutes, input suppliers or fertilizer producing industries) showcase new technologies, ideas, discoveries and alternative solutions concerning the agricultural sector. Nane Nane is a fair where government and private firms present their services and activities to the public.
Every year the national Nane Nane show takes place in different locations, for example in Ngongo, Lindi Region (2014), while there are also regional Nane Nane shows held in seven zones, namely in Arusha for Northern Zone; Eastern in Morogoro; Lake in Mwanza and Simiyu; Highlands in Mbeya; Southern in Lindi, Mtwara or Songea; Western in Tabora; and Central in Dodoma.
YEESI Lab was represented by Mr Matatizo, Mr Massawe, Mr Swai and Dr Fue, YEESI Lab PI. Posters and brochures were shared to NaneNane visitors. The YEESI Lab in turn collected good imagery dataset of horticulture nursery from the Crop Science and Horticulture Department Model Farms at Nane Nane.
From 18th to 22nd of July 2022, Data Science Africa (DSA) organized a workshop in Arusha, Tanzania, bringing together data science experts in Africa to discuss topics related to Data, Technology, and Community.
Dr. Kadeghe G Fue, a lecturer from Sokoine University of Agriculture and Project Leader of SUA YEESI Lab, was one of the Keynote Speakers invited to present on digital and precision agriculture research in Africa and the work SUA YEESI Lab is doing on Data Science.
His presentation explained the role of Data Science Research in Digital and Precision Agriculture for African countries and the importance of integrating super neat and intelligent data-driven innovations for smallholder farmers.
Prof Sanga, a YEESI Lab coPI attended a workshop on Creating Awareness on Open Science and Infusing it into Research Practice and Processes within Higher Educational Institutions in Eastern and Central Africa which took place at Multifunctional Hall of the Confucius Institute of the University of Dar es Salaam, Dar es Salaam, Tanzania from 14-15 July 2022.
Sokoine University of Agriculture is among of the three universities participating in the Innoversity Project. This project was launched by French Embassy. Other collaborators are University of Iringa and Nelson Mandela African Institution of Science and Technology.
About Call for University Entrepreneurs
The call for university entrepreneurs provides opportunity for university students both undergraduate and postgraduate with innovative business idea on agriculture particularly agri-food sector. The call focus on identifying startups at ideation ,prototype, or Minimal Viable Product stage that will lead to sustainable technology businesses and companies with high growth potential.
Successful startups will undergo an incubation program run by Sahara Ventures (https://saharaventures.com/) and thereafter will be linked to on-campus innovation hubs and technology transfer offices to encourage innovation, entrepreneurship, technology transfer, and research commercialization to create new solutions and employment opportunities.
About the Project
Innoversity project is a two-year project funded by the France Embassy in Tanzania and implemented by Sahara Ventures. The project supports students, lecturers, researchers, and management to integrate innovation and entrepreneurial approaches in their works to address the skills gap and create employment opportunities for youths.
Deadline for Applications: 20th August 2022
For more information about the call, visit https://forms.gle/3wnTnro9FVdSEAML6
In this Omdena, AI Challenge with the Global Partnership for Sustainable Development Data, we created a simple but powerful application using GEE images to estimate crop yield in Senegal.
For food security understanding the food system is essential. Accurate crop type details in near real-time will provide insights into the food system for policymakers and will provide information on crop diversity and nutrition outcomes. So, we decided to create an application using open-source satellite images to identify the crops and estimate the yields for any given area.
Follow the link below for Details:
Sokoine University of Agriculture (SUA) is a public and student-centered university continue to improve preparing students to be competent, professional and skilled graduate through training.The University integrate research, consultancy and technical operations to produce skilled labour force that can be employed or self-employed and contribute to the national, regional and global development as per National Five Year Development plan (FYDPIII) of 2021and SDG 1(no poverty),SDG 2 (no hunger), SGD 4 (quality education), SDG 8(Decent Work and Economic Growth). To impart required skills, confidence, experience and to establish, run and manage enterprises the University established SUA STEP program to empower students to self-employ, as a way to reduce unemployment.
Dr Kadeghe Fue, YEESI Lab PI, will address DSA Event in Arusha, Tanzania as a keynote speaker. He will discuss the role of data science in precision agriculture.
Data Science Africa, an NGO, is an important stakeholder in moving forward the agenda of digital agriculture for Data-driven agriculture. Dr Fue will commend their work and establish a strong collaboration with DSA on research and development. YEESI Lab will play a great role in promoting data science in Agriculture in Africa.
The event will take place from 18th to 22nd July 2022.
A University of the Western Cape (UWC) team has won an overseas trip to the US, with an additional three students claiming a cash prize of 100 dollars each.
This big win came at the annual USSAVI (US-Embassy SA Virtual Incubator initiative) entrepreneurship programme on 5 May 2022, where UWC claimed five of the eight available prizes.
The programme, sponsored by the US Embassy in South Africa, took competitors through the programme week by week, culminating in the pitching event.
Boost Up 2022 Application
Je wewe ni mbunifu? Usikose kutuma maombi ya kushiriki Shindano la BOOST UP kwa 2022. Maombi yamefunguliwa rasmi tarehe 1 Juni 2022 na yatahitimishwa tarehe 30 Juni 2022. Bonyeza link hii kukamilisha maombi yako
Morogoro Youth Empowerment through Establishment of Social Innovation (YEESI) lab hosts a renowned Prof in Precision farming
Sokoine University of Agriculture (SUA) has said that if there is sustainable use of Information and Communication Technology (ICT)in the country without restrictions then agriculture in this country can grow rapidly and be productive for the individual farmer and the Nation as a whole.
The YEESI Lab PI, Dr Kadeghe Fue was invited by Anzisha Venture Studios to speak on Innovation Week Tanzania 2022 (IWTz2022) Morogoro Region Edition which was commenced on Friday of 13th May 2022 at Morena Hotel, Morogoro. The PI spoke on a session titled "As the entire world is moving towards technopreneurship, what is the current state in Tanzania, and how does the regulatory environment and media support innovations, technology and startup entrepreneurship?"
The Guest of Honor was the Regional Commissioner Hon. Martin Shigella who was represented by the District Commissioner, Hon. Adv. Albert Msando.
The YEESI Lab PI discussed Digital Agriculture and the importance of using Machine Learning and Vision to improve the work of farming communities. He discussed the priorities mentioned in Tanzania's Five Year National Development Plan (FYDP III) that was presented by the Minister of Finance, Dr Mwigulu Nchemba on June 2021. FYDP III mentions Precision Agriculture, Artificial Intelligence and Innovation Hubs to be leading agendas for youth to unlock opportunities and improve agriculture.
The theme of the event was "Innovation for Sustainable Development".
13th may 2022
yeesi lAB Participates in sua innovation day
YEESI Lab PI,Dr Kadeghe Fue and students participated in SUA innovation day to showcase their progress on research to SUA Community and District Commissioner Adv. Albert Msando.
yeesi LAB participates in machine learning competition for an internship at zindi africa
Some of the YEESI Lab students and the PI participated in a machine learning competition [https://zindi.africa/competitions/loan-default-prediction-challenge] which provides winners with the opportunity to participate in an internship interview invitation. The Loan Default problem is among the most pressing issues for farmers that have led to high monthly premiums and unaffordable interests in farming society. One of the students who placed 6th, Mr. Fikiri, was invited for the interview. The PI participated in the competition independently to learn how to teach students to participate in the machine learning competition. The PI placed 3rd place (1st in Tanzania) and his code when run on Google Collab placed 1st on the leaderboard. The code will be used by students to learn how to efficiently do winning feature engineering and compete with peers in African countries. YEESI Lab believes not only in teaching AI models but also in training efficient, world-class, and accurate models.
yeesi lab pi invited for a public lecture at the Federal University of Lavras, Brazil
YEESI Lab PI was invited to present a video-conference public lecture to students and precision agriculture experts at the Federal University of Lavras, Brazil. He presented the role of Artificial Intelligence and Machine Learning in Digital Agriculture. He also presented the agenda that has been proposed in YEESI Lab to train youth on ML and AI. The main theme is how the youth can initiate their desire to learn ML/AI and utilize online learning platforms. He also talked about instructors recording videos and sharing talks to raise awareness and share experiences in Digital Agriculture. Also, He discussed the establishment of the start-ups in Digital Agriculture to boost the agenda in Africa and South America like how it is done in America, Europe, and Australia.
The PI of YEESI Lab was invited by Prof. Adão Felipe dos Santos, a Professor of Precision Agriculture
YEESI Lab participates in International Girls in ICT Day 2022
Science, technology, and innovation are the key drivers of our increasingly global and digital society. For girls and young women to thrive in science, technology, engineering, and mathematics (STEM) careers, they need safe and reliable access to digital tools. In line with the International Girls in ICT Day that will be celebrated on 28 April, YEESI Lab and the Tanzania Communication Regulatory Authority (TCRA) conducted a 1-day event with students from Kilakala secondary school on 9th April 2022 at SUA. The organisers of this event at SUA are Dr. Alcardo Alex Barakabitze and Prof. Camilius Sanga from YEESI Lab in collaboration with TCRA. The aim of this event was to encourage girls and young women to pursue science, technology, and engineering education and work in STEM careers. The main topic of the event focused on demonstrating to students from Kilakala secondary school the uses of ICTs and their impacts on the agriculture industry. Two female ICT scientists from SUA, Dr. Neema Sumari, Ms Joan Jonathan, and Dr. Neema Nicodemus presented their topics regarding “ICT for Future Smart World” and “Artificial intelligence (AI) and Machine learning (ML) in agriculture” respectively. Dr. Kadeghe Fue from YEESI Lab also presented smart technology and machine vision for precision agriculture where a robotic solution for cotton harvesting was demonstrated.
The TCRA at this event was represented by the Principal ICT officer and Eng. Aneth Kilaja.
REMOTE SENSING SEMINAR
You are invited to a scientific seminar on Machine Learning and Remote Sensing. It is sponsored by the research project: YEESI Lab
YEESI Lab PI talked to two AI-tech start-ups that have shown interest to work and collaborate with YEESI Lab and Sokoine University of Agriculture. He has agreed with the founders to establish official agreement that shall make SUA support the startups on computing nodes and ML tech collaborations.
YEESI Lab is a youth led initiative for youth of our great nation Tanzania. With the help of our partners, we are looking to organize and collaborate with AI-tech start-ups around the country and make positive collaborations.
14 March 2022
Being a learner through Problem based Learning
YEESI LAB ONLINE COURSES TO BOOST STUDENTS/TECHNOLOGISTS KNOWLEDGE ON MACHINE VISION HAVE BEEN LAUNCHED
PI, co-PI, and Instructors from YEESI Lab have won MACHINE LEARNING/VISION RELATED PROPOSALS IN THE SUA RESEARCH AND INNOVATION SUPPORT (SUARIS) second PHASE
Quad ai workstation arrived at sokoine university of agriculture
Our project lab received a high computing node from Lambda Labs on November, 4th, 2021. The master Quad AI workstation equipped with twin NVIDIA RTX A5000 with intel i9 18-cores processor running on massive 256GB RAM arrived in SUA's premises to support AI research efforts in Agriculture. This is the first modern GPU-installed node to have arrived at SUA. This server has been set to support YEESI Lab developers using JupyterHub server. It can be accessed on (locally) http://10.10.97.236/hub/login or (globally) http://126.96.36.199/hub/login
You are all welcome to explore AI work and support the state-of-the-art AI research in Agriculture.
Jupyterhub server and e-learning system set to implement ai in agriculture
We have configured the JupyterHub server to be shared by peers in our lab to train models. The server can be accessed on (locally) http://10.10.97.236/hub/login or (globally) http://188.8.131.52/hub/login
Also, the e-Learning Portal was deployed at http://184.108.40.206:8390/ to share materials and knowledge in AI.
Recently, the lab developed a comprehensive student-centered curriculum for machine vision. The curriculum features Problem-based Learning courses such as Problem-solving and Program Design with Python, Introduction to Digital Agriculture, Mobile Application Development, Machine Learning in Agriculture, Machine Vision in Agriculture, and Entrepreneurship for Artificial Intelligence that will empower the youth of Morogoro on next-generation AI research and development.