The Power of Data Can Unleash the Potential of Smallholders

BY: Habtamu Yesigat –

When I met a farmer – Takele – in northern Ethiopia, it was a season of rain that was too little and too late. Together with a wrong decision about when and what to plant, he and his family had been ruined. After the crop failure on his three fragments of land, which together amounted to less than one hectare, and with no other prospect of income, his family members migrated one-by-one. His two teenage daughters went to the city for jobs as housemaids. Takele later left his wife and his two young children to work as a day labourer in commercial farms far from his village.

Like Takele, millions across Ethiopia are struggling to survive on their farms. It is projected that eight million people across the country will need food assistance this year. Most of the deprived ones made a living from agriculture. They will need immediate aid to make it through the humanitarian crises, but just as importantly, they need long-term solutions. Most importantly, like any other business manager, these farmers need reliable advice and useful data.

I have met with thousands of farmers. I have seen their struggles to produce an adequate harvest. I have witnessed many ill-informed decisions on crop and variety choice, time of sowing and harvesting, and the impacts that followed: crop failures and increased poverty. They did not make the right choices because they did not get the most basic information needed.

There is data that could have prevented many bad harvests. But this information is not getting to farmers – at least not in a coherent, timely, and useful way. Although the country collects an enormous amount of data relevant to agriculture, it remains as fragmented as the land Tekele farmed. Dozens of government and non-government institutions each mine their datasets for their own purposes. This disparate data could be shared and integrated to benefit farmers.

The advice provided by Ethiopia’s Ministry of Agriculture to farmers is typically averaged across all conditions, making it too general to address specific challenges farmers face. Meanwhile, several organisations have additional data that could improve and customise the advice farmers receive. These include the Ethiopian Meteorological Agency (short and long-term weather forecasts); the Central Statistical Agency (yield, price, land use), the Ministry of Trade & Industry (demand projections, demographics, macro-economic trends); the Soil Laboratory (soil type, nutrient composition); and the Ministry of Water, Irrigation and Energy (groundwater reserves, irrigation potentials).

These data could be analysed and synthesised to provide vital location-specific guidance. This would be a game-changer for Ethiopia’s farmers.