Farmers must adopt artificial intelligence (AI) tools to enhance productivity, increase yields, protect the environment, and reduce costs. Sama, a leading provider of data annotation solutions that power future AI models, has seen the potential improvements firsthand with deployments in Europe, North America, and the Middle East. Drawing on this experience, Sama will partner with companies to support initiatives to revolutionise agricultural sustainability in Africa, such as the East African Community’s Vision 2050 plan.
During the launch of a report on precision agriculture and the challenges AgTech models face, Annepeace Alwala, Sama’s Vice President of Global Service Delivery, highlighted the tremendous opportunity and pressing need for AI to serve farmers better and help farming businesses progress while addressing global challenges like reducing emissions and sustainably feeding a growing world population.
“Agriculture is facing several challenges—an increase in the demand for food and food safety, decreasing agricultural land, and labour shortages among them. Our experience with clients in other parts of the world shows that computer vision applications working with Sama-quality data are helping to address many of these challenges by automating tasks—from crop monitoring and weed control to livestock health and pesticide use,” Alwala said.
Weeds, pests, and diseases are major obstacles to achieving the productivity needed to meet the growing global food demand. Up to 40% of crop production is lost to pests annually, with over $220 billion spent on related plant diseases. AI models evaluated by Sama identify pests, diseases, and weeds, leading to better crop management, reduced pesticide usage, and increased productivity. For example, one autonomous machine developed by Carbon Robotics can reportedly cover 15 to 20 acres a day and remove more than 100,000 weeds an hour, using carbon dioxide lasers to kill intruders.
Drone technology is increasingly being used to monitor crops and spray pesticides, made possible by advancements in sensors for data collection, the accuracy of computer vision models, and innovations in pesticide spraying equipment. This information helps farmers make better decisions about crop rotation, irrigation, and pesticide use. Early detection allows farmers to take action quickly and prevent widespread damage. In collaboration with Precision AI, Sama has helped develop a computer vision model for a drone that can identify images at 0.55mm resolution while flying at 50mph.
“With the increasing challenges faced by the agricultural sector in East Africa, our partnership with Precision AI demonstrates the transformative power of AI in farming. We plan to deploy these solutions to enhance crop monitoring and optimize resource distribution. Our goal is to inspire similar advancements within the region,” Ms. Alwala added.
As Sama continues to collaborate with various stakeholders, the hope is that AI-powered solutions will pave the way for a more sustainable and productive agricultural sector in East Africa, ensuring food security for the future.
