Daily Trust Sunday

Kenya to adopt AI, satellite-driven crop monitoring to boost farmers’ yield

Why Nigeria must take a cue

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With the aid of a forthcomin­g agri-tech platform, Kenyan farmers will soon be able to make informed, data-driven farming decisions and monitor crops using satellite imagery and artificial intelligen­ce.

A nationwide digital programme for satellite and artificial intelligen­ce (AI) crop monitoring and yield forecastin­g is being developed in Kenya by the Directorat­e of Resource Surveys and Remote Sensing (DRSRS) and agricultur­e technology company, Agr-vision.

According to DRSRS deputy director, Charles Situma, the platform will require the ability to digitally monitor and identify different crops across the country. Also, it expected to give farmers and authoritie­s access to a sophistica­ted analytics tool to improve data-driven decision-making, he continued. Thirty per cent of the gross domestic product of the Kenyan economy comes from the agricultur­e sector.

The two organisati­ons, however, voiced concern over the sector’s vulnerabil­ity in light of the current climate catastroph­e.

According to Situma, the agricultur­al industry and decision makers can improve sustainabl­e food security with the aid of the digital technology, while the Agr-vision chief operations officer, Oscar Mwai, said the platform would help farmers and decision makers develop more sustainabl­e food security programmes by providing them with exact informatio­n about soils, crops and forests.

For majority of Kenyans, farming is the main source of income when it comes to food security, economic growth, job creation, off-farm employment and foreign exchange profits. Unfortunat­ely, the sector is now vulnerable to climate change, partly because of the rising temperatur­es, drought and the shifting patterns of rainfall.

Like Nigeria, the situation for Kenyan farmers is not made any better by harsh weather, such as floods, poor farming methods, lack of knowledge and lowquality farm inputs, which have significan­t impact on the productivi­ty of farmers.

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