Data scientist and statistical expert Oluwabukola Emi-Johnson has emphasised the critical role of predictive analytics in enhancing agricultural productivity and sustainability. Speaking to journalists at a press briefing in Greensboro, North Carolina, Emi-Johnson highlighted how data-driven insights can address food security challenges and optimise supply chain operations.
“Agriculture is one of the industries with the highest potential for AI-driven transformation,” said Emi-Johnson, who is currently working with Syngenta Group on advanced data science applications in agritech. “Through predictive modelling, we can better understand weather patterns, soil quality, and crop yields, ultimately leading to more efficient farming practices.”
He explained that machine learning algorithms can analyse vast datasets to forecast potential shortages, enabling farmers to take preemptive measures. Citing his work at Syngenta, Emi-Johnson illustrated how regression models are used to optimise inventory levels and prevent food wastage.
The expert also underscored how AI can mitigate the risks posed by climate change. “By integrating historical climate data with real-time satellite imagery, we can provide farmers with actionable insights that improve crop resilience,” he said.
Journalists in attendance were particularly keen on Emi-Johnson’s perspective regarding how predictive analytics could help African nations improve agricultural output. He pointed out that developing economies could benefit significantly from AI-driven insights, especially in regions where access to agricultural technology remains limited.
“Many small-scale farmers in Nigeria and across Africa rely on traditional farming methods,” he stated. “With the right data tools, they can make informed decisions about planting cycles, pest control, and irrigation, ultimately improving yields and profitability.”
Emi-Johnson further emphasised the importance of collaboration among policymakers, agritech companies, and data scientists. He urged governments to invest in AI research and development to support sustainable agriculture.
“The future of agriculture lies in data,” he stated. “To ensure food security, we must adopt a forward-thinking approach that incorporates AI, IoT sensors, and cloud computing.”
The press conference concluded with a call to action for businesses and research institutions to collaborate in driving innovation in agritech. Emi-Johnson expressed optimism that with the right investments, predictive analytics could transform agricultural practices globally.
and then