The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …

Plant productivity and quality are greatly affected by plant diseases. Digital image
processing can help identify diseases. Deep learning has significantly outperformed …

Of late, convolutional neural networks have shown significant performance improvement
over the traditional machine learning and dominate the classification tasks in the field of …

The advancement of IT technology, particularly the emergence of deep learning, has
resulted in significant changes in various industries, including agriculture. Agricultural …

Plant diseases can have a detrimental effect on crop yield and quality, posing significant
challenges to global food security. Early and accurate disease detection is essential for …

Indonesia has two seasons, and the potential as a producer of superior products in the
plantation sector is tremendous. Coverage in the plantation sector has ornamental plant …