Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …

In this work, we perform a systematic literature review of Open Data and Public Domain
datasets in Agriculture. We use the PRISMA method to analyze the existing academic …

The presence of various maize plant leaf diseases has significantly decreased both the
quality and quantity of crop production. In order to take the appropriate steps to prevent the …

Crop yield production could be enhanced for agricultural growth if various plant nutrition
deficiencies, and diseases are identified and detected at early stages. Hence, continuous …

In the era of advancing artificial intelligence (AI), its application in agriculture has become
increasingly pivotal. This study explores the integration of AI for the discriminative …

In the agricultural sector, identifying plant diseases at their earliest possible stage of
infestation still remains a huge challenge with respect to the maximization of crop production …

The difficulty of collecting maize leaf lesion characteristics in an environment that undergoes
frequent changes, suffers varying illumination from lighting sources, and is influenced by a …

The impact of plant pathogens on global crop yields is a major societal concern. The current
agricultural diagnostic paradigm involves either visual inspection (inaccurate) or laboratory …

This method of identifying plant leaf disease generally involves a large team of experts with
extensive knowledge of plant diseases, and it can be expensive, time-consuming, and …

The accurate and timely identification of plant diseases is critical for ensuring global food
supplies and agricultural sustainability. Traditional approaches for identifying and dealing …