Predictive Analytics: Case Studies for AI in Agriculture

Population growth climate change and volatile commodity prices risk factors are putting a strain on the agricultural system nowadays. Using artificial intelligence (AI) in agriculture can potentially help mitigate this strain in areas such as yield prediction and disease detection in agriculture. In this course explore a study that uses machine learning (ML) models for agricultural use cases. Next explore a specific case study that attempts to predict the yield of maize and soybean crops on various American farms. Finally examine a study that uses machine learning for pest detection. Upon completion youll be able to gather and analyze academic papers on machine learning in agriculture identify problem categories and solution constructs and recall common recurring themes in research.