Valentine-Chibueze07/nigeria-postharvest-intelligence

Operational intelligence analysis of post-harvest agricultural losses across Nigeria's 6 geopolitical zones. 5,000 farmer records, 6 crop types, root-cause analysis, and strategic recommendations. # Nigeria-postharvest-intelligence Operational intelligence analysis of post-harvest agricultural losses across Nigeria's 6 geopolitical zones. 5,000 farmer records, 6 crop types, root-cause analysis, and strategic recommendations. "Nearly 1 in 5 kilograms harvested never reaches a market. This project investigates why — and what can realistically be done about it." by Iroagba Valentine Chibueze · Agricultural Data Intelligence · 2023–2024 Dataset The Problem Nigeria loses an estimated 40–50% of its agricultural produce annually to post-harvest challenges. For context: that is food produced, land used, water consumed, labour invested — and then lost between the farm and the consumer. For smallholder farmers operating on thin margins, a single spoilage event can erase an entire season's income. This project focuses on a specific slice of that problem: analysing post-harvest loss patterns across 5,000 farming operations in Nigeria's six geopolitical zones to identify where losses are highest, what operational factors drive them, and which interventions — in what sequence — would produce the greatest impact. The analysis was built to function as a decision-support system, not a reporting exercise. Every finding is evaluated through the lens of: what would a stakeholder need to know to make a better operational decision tomorrow? Project Scope DimensionDetailDataset5,000 farming operation recordsCoverage6 geopolitical zones (North Central, North East, North West, South East, South South, South West)Crop TypesCassava, Maize, Pepper, Rice, Tomato, YamVariables20 fields spanning storage, transport, environmental conditions, technology, training, and financial outcomesPeriod2023–2024 growing seasonsPrimary MetricPost-Harvest Loss Percentage (PHL%)Financial MetricRevenue Loss (NGN) Project Objectives Quantify the scale and distribution of post-harvest losses across Nigeria's regions and crop types Identify the operational, environmental, and structural drivers of spo …