Background Most of the 10 million Kenyans lacking food security lived in the arid and semi-arid northern part of the country in a climatic condition of high temperatures and very little...
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machine learning Modelling Knowledge type
Publication
Highlights:
A Food Security Identification (FSI) roadmap is proposed for the development of a multi-dimensional food security index.
The roadmap employs a machine learning approach towards identifying regions...
Accurate and economically sound soil fertility recommendations are critical for ensuring profitable food production for smallholder farmers. However, such recommendations are lacking in many...
Highlights:
Estimating durum wheat yields in Algeria using climate records;
A forecasting process using machine learning in the presence of data scarcity;
Data augmentation by...
CONTEXT
Although rice production has increased significantly in the last decade in West Africa, the region is far from being rice self-sufficient. Inland valleys (IVs) with...
This paper presents the first global picture of food security at a subnational level based on the Food Insecurity Experience Scale, the indicator for the Sustainable Development Goal of “Zero Hunger”...
Estimating how many people are food insecure and where they are is of fundamental importance for governments and humanitarian organizations to make informed and timely decisions on relevant...
Developing and promoting neglected and underutilised crops (NUS) is essential to building resilience and strengthening food systems. However, a lack of robust, reliable, and scalable evidence impedes the mainstreaming...
In many Sub-Saharan countries, farmers cannot meet the growing urban demand for higher quality products, leading to increasing dependency on imports. While the literature has focused...
After many years of decline, hunger in Africa is growing again. This represents a global societal issue that all disciplines concerned with data analysis are facing. The rapid...