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Empowering Tanzanian Rice Farmers With Satellite Data & AI

Wildcard Digital Inc
Wildcard Digital Inc

Overcoming challenges in harnessing satellite data could provide new opportunities to combat poverty among smallholder rice farmers in Tanzania. These farmers face obstacles such as high fertilizer costs, competition from Asian rice imports, and limited knowledge on sustainably improving yields, as directed by the United Nations' Sustainable Development Goals.

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EMPOWERING TANZANIAN RICE FARMERS WITH SATELLITE DATA & AI By Jason Stevens
AGRICULTURE IN TANZANIA Comes from agriculture including rice 25% OF GDP Employed in agriculture 70% of the population Lives in rural areas. 33% of the population
LARGEST RICE PRODUCER IN EAST AFRICA Tanzania produced nearly 2 million tonnes of rice during the 202021 growing season. However, most smaller rice farmers are close to poverty level and face food insecurity.
High fertilizer costs Competition from Asian imports Limited knowledge on sustainably improving yields SMALL RICE FARMER CHALLENGES
SATELLITE DATA FOR AGRICULTURAL DEVELOPMENT GEOGLAM, NASA Harvest, SRP) and private sector companies (e.g. Planet, TerraSphere, Flamingoo Foods) to provide satellite imagery and data INTERNATIONAL COLLOBORATION Modernize farming approaches and spur national and regional growth. GOAL
OVERCOMING LIMITATIONS OF SATELLITE DATA SATELLITE RESOLUTION Traditional satellite imagery struggles to measure crop yields in small farms OVERLAPPING FIELDS Intercropping makes it difficult to distinguish between different crops
"Plus, we have traditionally had limited information on rice farming practices in Tanzania." NASA HARVEST
INTEGRATING AI & SATELLITE DATA (EO)
Surveying over 800 local farmers and feeding crop yield data into deep-learning algorithms RICE SURVEYS INTEGRATING AI & SATELLITE DATA Generates ground-truth data for AI analysis along with surveys above. NASA's Harvest's Helmuts Labelling Crops Program
UKRAINE WAR NASA HARVEST & PLANET LABS PIONEER NEXTGEN AI-EO Anticipate and avert food shortages and famines PREDICTIVE 3m resolution based on over 4,500 ground data samples. 94% ACCURACY
The new AI-EO helps small rice farmers improve yields and contribute towards Tanzania's agricultural growth.
The ecosystem is an ecological system formed from the reciprocal relationship between living things and the surrounding environment. The ecosystem is an ecological system formed from the reciprocal relationship between living things and the surrounding environment. Testetarial (land) FIGHTING POVERTY Artificial ecosystem THE FUTURE OF AI-EO & AGRICULTURE in overcoming food insecurity, famine, and poverty VAST POTENTIAL Space-based measurements complement ground-based measurements for increased precision GROUND & SPACE Working together to help Tanzania reach higher production levels and improve livelihoods SYMBIOSIS
REFERENCES: Satellite and its Applications Commission. (2014, October). Keynote Address: Challenges of Securing the Gains of Satellite Technology and its Role in Supporting Development in Tanzania. Secure World Foundation. Retrieved from https://swfound.org/media/206314/froeliger_keynote.pdf United Nations. (n.d.). Sustainable Development Goals. Retrieved from https://www.un.org/sustainabledevelopment/sustainable-development-goals/ Ballard Center for Economic Self-Reliance. "Perpetuation of Poverty in Rural Tanzania." The Ballard Brief, Brigham Young University, November 28 2017, https://ballardbrief.byu.edu/issue-briefs/perpetuation-of-poverty-in-rural-tanzania/. NASA Earthdata. (2021, February 11). Collect Earth: Facilitating Ground-Based Data Collection for Small-Scale Agriculture. NASA Earthdata. https://www.earthdata.nasa.gov/learn/articles/csda-small-scale-agriculture Fenella Aoufi. (2022, October 25). Tanzania: Unleashing the Potential of Rice Farming to Improve Livelihoods. AllAfrica. Retrieved from https://allafrica.com/stories/202210250431.html Nakalembe, C., & Kerner, H. (2023, March 24). Considerations for AI-EO for agriculture in Sub-Saharan Africa. Environmental Research Letters, 18(4), 041002. https://doi.org/10.1088/1748-9326/acc476. NASA Harvest. (n.d.). Helmets & Labeling Crops. Retrieved [n.a], from https://nasaharvest.org/project/helmets-labeling-crops Business Wire. (2023, January 12). Planet and NASA Harvest Launch Commercial Partnership to Enable and Advance Food Security Offering to Deliver Policy-Grade Agricultural Assessments. Retrieved April 11, 2023, from https://www.businesswire.com/news/home/20230112005711/en/Planet-and-NASA-Harvest-Launch- Commercial-Partnership-to-Enable-and-Advance-Food-Security-Offering-to-Deliver-Policy-Grade-Agricultural-Assessments.
THANKS FOR READING. - Jason Stevens

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Empowering Tanzanian Rice Farmers With Satellite Data & AI

  • 2. AGRICULTURE IN TANZANIA Comes from agriculture including rice 25% OF GDP Employed in agriculture 70% of the population Lives in rural areas. 33% of the population
  • 3. LARGEST RICE PRODUCER IN EAST AFRICA Tanzania produced nearly 2 million tonnes of rice during the 202021 growing season. However, most smaller rice farmers are close to poverty level and face food insecurity.
  • 4. High fertilizer costs Competition from Asian imports Limited knowledge on sustainably improving yields SMALL RICE FARMER CHALLENGES
  • 5. SATELLITE DATA FOR AGRICULTURAL DEVELOPMENT GEOGLAM, NASA Harvest, SRP) and private sector companies (e.g. Planet, TerraSphere, Flamingoo Foods) to provide satellite imagery and data INTERNATIONAL COLLOBORATION Modernize farming approaches and spur national and regional growth. GOAL
  • 6. OVERCOMING LIMITATIONS OF SATELLITE DATA SATELLITE RESOLUTION Traditional satellite imagery struggles to measure crop yields in small farms OVERLAPPING FIELDS Intercropping makes it difficult to distinguish between different crops
  • 7. "Plus, we have traditionally had limited information on rice farming practices in Tanzania." NASA HARVEST
  • 9. Surveying over 800 local farmers and feeding crop yield data into deep-learning algorithms RICE SURVEYS INTEGRATING AI & SATELLITE DATA Generates ground-truth data for AI analysis along with surveys above. NASA's Harvest's Helmuts Labelling Crops Program
  • 10. UKRAINE WAR NASA HARVEST & PLANET LABS PIONEER NEXTGEN AI-EO Anticipate and avert food shortages and famines PREDICTIVE 3m resolution based on over 4,500 ground data samples. 94% ACCURACY
  • 11. The new AI-EO helps small rice farmers improve yields and contribute towards Tanzania's agricultural growth.
  • 12. The ecosystem is an ecological system formed from the reciprocal relationship between living things and the surrounding environment. The ecosystem is an ecological system formed from the reciprocal relationship between living things and the surrounding environment. Testetarial (land) FIGHTING POVERTY Artificial ecosystem THE FUTURE OF AI-EO & AGRICULTURE in overcoming food insecurity, famine, and poverty VAST POTENTIAL Space-based measurements complement ground-based measurements for increased precision GROUND & SPACE Working together to help Tanzania reach higher production levels and improve livelihoods SYMBIOSIS
  • 13. REFERENCES: Satellite and its Applications Commission. (2014, October). Keynote Address: Challenges of Securing the Gains of Satellite Technology and its Role in Supporting Development in Tanzania. Secure World Foundation. Retrieved from https://swfound.org/media/206314/froeliger_keynote.pdf United Nations. (n.d.). Sustainable Development Goals. Retrieved from https://www.un.org/sustainabledevelopment/sustainable-development-goals/ Ballard Center for Economic Self-Reliance. "Perpetuation of Poverty in Rural Tanzania." The Ballard Brief, Brigham Young University, November 28 2017, https://ballardbrief.byu.edu/issue-briefs/perpetuation-of-poverty-in-rural-tanzania/. NASA Earthdata. (2021, February 11). Collect Earth: Facilitating Ground-Based Data Collection for Small-Scale Agriculture. NASA Earthdata. https://www.earthdata.nasa.gov/learn/articles/csda-small-scale-agriculture Fenella Aoufi. (2022, October 25). Tanzania: Unleashing the Potential of Rice Farming to Improve Livelihoods. AllAfrica. Retrieved from https://allafrica.com/stories/202210250431.html Nakalembe, C., & Kerner, H. (2023, March 24). Considerations for AI-EO for agriculture in Sub-Saharan Africa. Environmental Research Letters, 18(4), 041002. https://doi.org/10.1088/1748-9326/acc476. NASA Harvest. (n.d.). Helmets & Labeling Crops. Retrieved [n.a], from https://nasaharvest.org/project/helmets-labeling-crops Business Wire. (2023, January 12). Planet and NASA Harvest Launch Commercial Partnership to Enable and Advance Food Security Offering to Deliver Policy-Grade Agricultural Assessments. Retrieved April 11, 2023, from https://www.businesswire.com/news/home/20230112005711/en/Planet-and-NASA-Harvest-Launch- Commercial-Partnership-to-Enable-and-Advance-Food-Security-Offering-to-Deliver-Policy-Grade-Agricultural-Assessments.
  • 14. THANKS FOR READING. - Jason Stevens