Over 300 million people in Sub-Saharan Africa (SSA) depend on maize for nearly 30% of their caloric intake, and the popularity of maize is expected to continue its upward trend (IITA). As the demand ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
A research team has developed an innovative method utilizing unmanned aerial vehicles (UAVs) and deep learning techniques to accurately identify tassel states in maize hybridization fields before and ...
A recent study offers a promising strategy to protect food security and safety of maize in Sub-Saharan Africa. Over 300 million people in Sub-Saharan Africa (SSA) depend on maize for nearly 30% of ...
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