Identification of maize leaf diseases using red, green, blue-based images with convolutional neural network (CNN) and residual network (ResNet50) modelsBasani Lammy Nkuna, Adolph Nyamugama, Adriaan J. van der Walt et al.|Smart Agricultural Technology|2025Cited by 6
Developing models to detect maize diseases using spectral vegetation indices derived from spectral signaturesBasani Lammy Nkuna, A. J. van der Walt, George Chirima et al.|The Egyptian Journal of Remote Sensing and Space Science|2024Cited by 5
Predicting smallholder maize yield using sentinel-2-derived phenological metricsWonga Masiza, Hamisai Hamandawana, Basani Lammy Nkuna et al.|Smart Agricultural Technology|2026Cited by 4
Unraveling the Relationship between Soil Nutrients and Maize Leaf Disease Occurrences in Mopani District Municipality, Limpopo Province, South AfricaBasani Lammy Nkuna, Adolph Nyamugama, George Chirima et al.|Agronomy|2024Cited by 1
UAV-based multispectral imaging and machine learning for detecting and mapping maize leaf diseases in smallholder farmsBasani Lammy Nkuna, Adolph Nyamugama, Adriaan Johannes Van Der Walt et al.|Scientific Reports|2026Cited by 0