Nexus of food waste and climate change framework: Unravelling the links between impacts, projections, and emissions

S Varjani, S Vyas, J Su, MA Siddiqui, ZH Qin… - Environmental …, 2024 - Elsevier
This communication explores the intricate relationship between food waste and climate
change, considering aspects such as impacts, projections, and emissions. It focuses on the …

Bottlenecks in Nigeria's fresh food supply chain: What is the way forward?

D Onwude, T Motmans, K Shoji, R Evangelista… - Trends in Food Science …, 2023 - Elsevier
Background Nigeria is one of the leading producers of fresh produce, most of which is grown
by smallholder farmers. Over 40% of this fresh produce is lost after harvest, resulting in more …

[HTML][HTML] Towards economic, nutritional, and environmental sustainability for small-scale farming businesses using a mobile-powered impact dashboard

D Odion, T Defraeye, R Evangelista, D Onwude - Science Talks, 2024 - Elsevier
Decentralized cold storage systems in Low-and Middle-Income Countries (LMICs) often lack
data-driven insights for monitoring key performance indicators such as food loss, revenue …

Towards improving farmers livelihood in Nigeria using food price forecasting

D Odion, J Gajardo, T Defraeye, T Motmans, K Shoji… - engrxiv.org
Nigeria's agricultural sector represents approximately 25% of the country's overall GDP and
is a major source of employment for its population. This sector is largely driven by …

[PDF][PDF] Machine Learning for Food Demand Prediction: A CatBoost Regression Model

P Mirazei, AS Nokabadi - mlkd.aut.ac.ir
Accurately forecasting food demand is crucial for optimizing supply chain efficiency and
reducing waste. This study presents a machine learning approach utilizing the CatBoost …