Tanzania - Business creation project
Participation
individuelle
HYPERLOCAL WEATHER MONITORING_
Hyperlocal weather monitoring with AI involves to Develop an AI-powered system that provides highly accurate and localized weather forecasts for a specific area in order provide a real time data on weather to reduce impacts of climate change in Tanzania.
Documents
HYPERLOCAL WEATHER MONITORING_
Décrivez votre projet en quelques mots
Hyperlocal weather monitoring with AI involves to Develop an AI-powered system that provides highly accurate and localized weather forecasts for a specific area in order provide a real time data on weather to reduce impacts of climate change in Tanzania.
01.01 Décrivez votre projet en détail
Hyperlocal weather Monitoring is an AI solution that takes the context of each demand driver within each individual location to make accurate weather forecasting in the most granular level. Hyperlocal weather monitoring with artificial intelligence is crucial in order to improve the present technology on weather forecasting in order to provide a real time data on temperature, rainfall and humidity which will enable the farmers to make an informed decision on agriculture like irrigation, early crop plant and pesticide control in order to reduce the impacts of severe weather event. Tanzania agricultural sector is highly vulnerable to El Nino which has occured in this rainfall season leading to devastating flood, landslides, and crop failures, jeopardizing food security and livelihood. This project propose for groundbreaking weather monitoring system that leverage hyperlocal forecasting and mitigate severe weather event that directly affect agriculture negatively by using AI
01.02 Quel est le problème principal que vous essayez de résoudre ?
Recent El Nino event in Tanzania showcased the limitation of existing technology on weather forecasting. Despite Tanzania meteorological Authority issued early warning but the impact was too severe due to limited granularity of national forecasting which lacks more details to predict specific impacts on microclimate and local communities, challenge on reaching rural communities and lack of real time data on localized weather events. TMA have the challenges of sparse weather stations which forecast weather events in general but do not address the specific local area also with inaccurate forecast for specific local locations, incomplete picture of weather variation across tanzania and forecast represent large area missing hyperlocal factors. Hyperlocal weather monitoring with AI will provide more relevant informations and real time data, also will capture the data sources in a full range of microclimate and increased granularity allowing forecasting in local areas especially in rural.
01.03 Dites-nous quels sont les principaux avantages et/ou bénéfices de l'utilisation du produit/service que vous souhaitez fournir par votre projet (au moins 3).
Increased accuracy and granularity. Traditional weather stations have limited coverage especially in rural areas and geographically complex areas. By using Hyperlocal weather monitoring powered by AI can utilize various data source like satellite imagery, sensor data from weather stations and existing data which will provide more accurate pictures of weather conditions at specific locsl locations. Improved early warning systems. AI powered hyperlocal monitoring system will improve early warning system crucial for flood warning especially areas prone to rapid water level changes, detecting and prediction of formation of microclimates like hailstorms and providing real time advice for public safety during extreme weather event. Enhanced decision making. Hyperlocal weather monitoring with AI will empower individuals to make better decision based on real time weather condition. For example farmers make informed decision about irrigation and crop protection based on real-time data.
01.04 Veuillez décrire précisément à qui s'adressera le produit/service de votre projet. Quels sont les bénéficiaires visés ?
Individual users. Peoples in geographical complex areas like mountains and valley where traditional weather stations might not provide accurate forecast for specific local areas. Business and organizations. Like construction companies, utility companies and farmers can utilize these real time data of weather conditions and make decisions in their operations. Public agency services. Agencies can use these real time data to advice the public safety during extreme weather event and target warning to specific areas
01.05 Quand avez-vous commencé à travailler sur votre projet ?
01/03/2024
01.06 Combien y a-t-il de propriétaires sur votre projet en plus de vous ?
0
01.07 Parmi les autres propriétaires, combien sont des femmes ?
0
01.08 Veuillez décrire le profil des autres propriétaires de votre projet (compétences, expérience, etc.).
There is no partnership in the business venture
01.09 Si vous avez un site web, une page sur les médias sociaux (Facebook, Instagram, Linkedin...) ou une application, veuillez fournir le(s) lien(s) ici :
https://www.instagram.com/sound_ofsilence29?igsh=OGQ5ZDc2ODk2ZA==
01.10 Quel est le secteur d'activité qui décrit le mieux votre projet ?
l) Agriculture
02.01.01 Mon projet contribue à l'objectif 'Pas de pauvreté'
2
02.01.02 Justification de la contribution de mon projet
By providing a real time data on weather will help farmers to make decision on farm management and increase productivity which then will reduce poverty rate.
02.02.01 Mon projet contribue à l'objectif 'Faim Zéro'
7 - Tout à fait d'accord
02.02.02 Justification de la contribution de mon projet
By enabling precision agriculture through hyperlocal weather forecasts, the project can improve agricultural practices. Farmers can optimize irrigation, crop planting schedules, and pest control based on real-time weather data, leading to increased yields, reduced water usage, and enhanced food security. Hyperlocal weather forecasts empower farmers with the information needed for precision agriculture. This can lead to: Increased yields. By optimizing irrigation, planting schedules, and pest control based on real-time weather data, farmers can maximize crop production. Reduced water usage. Precise knowledge of weather conditions allows for more efficient water application, minimizing waste and conserving resources. Enhanced food security. Improved agricultural practices ultimately contribute to increased food production and availability, promoting food security for local communities.
02.03.01 Mon projet contribue à l'objectif 'Bonne Santé et Bien Être'
5
02.03.02 Justification de la contribution de mon projet
Early warnings of extreme weather events based on hyperlocal forecasts can help communities prepare and take action to minimize health risks associated with heatwaves, floods, and other weather disasters.
02.04.01 Mon projet contribue à l'objectif 'Éducaiton de Qualité'
5
02.04.02 Justification de la contribution de mon projet
Training program for farmers on on weather data utilization enhance their knowledge and skills promoting lifelong learning.
02.05.01 Mon projet contribue à l'objectif 'Égalité entre les Sexes'
7 - Tout à fait d'accord
02.05.02 Justification de la contribution de mon projet
The project will ensure equal access of information and training for both male and female farmers promoting gender equality within the agricultural sector.
02.06.01 Mon projet contribue à l'objectif 'Eau Propre et Assainissement'
5
02.06.02 Justification de la contribution de mon projet
The project can contribute to water conservation efforts by enabling efficient irrigation practices through precise weather data. This helps to ensure the availability of clean water for other essential uses in order to make decision on agriculture like irrigation.
02.07.01 Mon projet contribue à l'objectif 'Énergie Propre et Abordable'
5
02.07.02 Justification de la contribution de mon projet
The project can explore to integrate renewable source of energy like solar panels to empower weather stations to achieve clean energy goal
02.08.01 Mon projet contribue à l'objectif 'Travail Décent et Croissance Économique'
5
02.08.02 Justification de la contribution de mon projet
Farmers will utilize the information on weather and make decision on agriculture and achieve economic growth in Tanzania.
02.09.01 Mon projet contribue à l'objectif 'Industrie, Innovaiton et Infrastructure'
7 - Tout à fait d'accord
02.09.02 Justification de la contribution de mon projet
The project itself embodies SDG 9 by promoting innovation in weather monitoring. The use of AI for hyperlocal forecasts fosters technological advancements and contributes to the development of sustainable infrastructure for weather data collection and analysis. The project itself exemplifies SDG 9 by fostering innovation in weather monitoring through the use of AI. This advancement can contribute to the development of sustainable infrastructure for data collection and analysis and provide innovation and build infrastructure which will tolerate with severe climate changes
02.10.01 Mon projet contribue à l'objectif 'Réduction des Inégalités'
7 - Tout à fait d'accord
02.10.02 Justification de la contribution de mon projet
By the use AI Powered weather monitoring will help to reduce inequalities on the ways to reduce the impacts of severe climate changes and build farmers resilience to environmental shocks as at developed countries.
02.11.01 Mon projet contribue à l'objectif 'Villes et Communautés Durables'
7 - Tout à fait d'accord
02.11.02 Justification de la contribution de mon projet
Hyperlocal weather information can be used for urban planning and infrastructure management. Cities can utilize the data to prepare for floods, heatwaves, and other weather events, minimizing damage and ensuring the safety of citizens. Additionally, the project can support the development of weather-resilient infrastructure.
02.12.01 Mon projet contribue à l'objectif 'Consommation et Production Responsable'
5
02.12.02 Justification de la contribution de mon projet
The project is unlikely to contribute to responsible consumption of weather data in order to improve production in agriculture and settlement.
02.13.01 Mon projet contribue à l'objectif 'Luttle contre les Changements Climatiques'
7 - Tout à fait d'accord
02.13.02 Justification de la contribution de mon projet
This project directly contributes to climate action by providing more precise weather data for climate monitoring and analysis. The AI system can help identify trends, predict extreme weather events, and support the development of climate change mitigation and adaptation strategies
02.14.01 Mon projet contribue à l'objectif 'Vie Sous-Marine'
7 - Tout à fait d'accord
02.14.02 Justification de la contribution de mon projet
Hyperlocal Weather monitoring with AI due to responsible water management practices brought by the project can protect water run offs and water quality in nearby water bodies. gy
02.15.01 Mon projetp contribue à l'objectif 'Vie Terrestre'
7 - Tout à fait d'accord
02.15.02 Justification de la contribution de mon projet
System can be used to monitor weather condition in ecological sensitive areas enabling better management of natural resources and wildlife habitats. By providing farmers with hyperlocal weather data, the system will help to optimize irrigation practices potentially water usage in promoting sustainable land management. By enabling precision agriculture, the project can potentially reduce the use of pesticides and fertilizers, leading to a more sustainable approach to farming and a healthier environment.
02.16.01 Mon projet contribue à l'objectif 'Paix, Justice et Institutions Efficaces'
7 - Tout à fait d'accord
02.16.02 Justification de la contribution de mon projet
By empowering farmers with real time data can help to improve agricultural sector in Tanzania.
02.17.01 Mon projet contribue à l'objectif 'Parteneriats pour la Réalisation des Objectifs'
7 - Tout à fait d'accord
02.17.02 Justification de la contribution de mon projet
Developing and deploying this technology requires collaboration between researchers, data scientist, private companies and government agencies. This foster partnership is crucial for achieving SDGs.
05.01 Il existe un grand nombre de clients qui utilisent déjà un produit/service très similaire à celui que nous envisageons de créer.
1 - Pas du tout d'accord
05.02 Le produit/service que nous voulons créer représente un type de produit/service entièrement nouveau
7 - Tout à fait d'accord
05.03 Le produit/service que nous voulons créer pourrait être décrit comme une nouvelle technologie
7 - Tout à fait d'accord
05.04 Le produit/service que nous voulons créer est une amélioration d'un produit ou d'un service existant
7 - Tout à fait d'accord
05.05 Le produit/service que nous voulons créer pourrait être décrit comme une extension d'une gamme de produits ou de services
7 - Tout à fait d'accord
05.06 Le produit/service que nous voulons créer répond à une demande ou à un besoin qui n'a pas été satisfait par d'autres produits/services.
7 - Tout à fait d'accord
05.07 Le produit/service que nous voulons créer est une nouvelle version d'un ancien produit/service
7 - Tout à fait d'accord
05.08 Justification de mon projet
Hyperlocal weather monitoring involve the use of AI powered technology to monitor weather and reduce climate change impacts. AI powered weather monitoring will help to to forecast weather in a small local area. The AI powered model will be trained on historical data and real time data from stations forecast that accounts for microclimate and local weather patterns with high accurate predictions. The product that envisioning will replace and improve the old technology in weather forecast which provide a general prediction of weather to large area but Hyperlocal weather monitoring with AI powered will help to improve weather forecasting in order to provide an accurate data of weather in order to reduce the effects of severe climate change incidence like flood and crop failures.
05.09 Qui sont vos principaux potentiels concurrents et qu'est-ce qui vous différencie d'eux ?
The main competitor is Tanzania meteorological authority which is an authority to forecast weather in Tanzania. With AI powered weather monitoring will replace the old technology with new AI technology to provide accurate data on weather in order to reduce the adverse impacts brought by severe climate change.
10.06 Menez-vous des actions au sein de votre communauté pour promouvoir le rôle des femmes entrepreneurs ?
I have never initiated any action to promote role of female entrepreneurs
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