Smart Farming: Boosting Crop Management with SVM and Random Forest

Abstract Smart agriculture system using AI and ML is a technological solution that incorporates advanced algorithms and datasets to monitor various agricultural processes. This system aims to optimize agricultural production and reduce resource wastage by providing real-time insights into crop health, soil moisture levels, and weather conditions. The system utilizes AI and ML techniques to analyze data from various datasets and provide actionable insights to farmers. The use of AI and ML in agriculture can help farmers make informed decisions, increase productivity, reduce costs, and improve crop yields. This paper discusses the various components of the smart agriculture system, including, AI and ML algorithms, and the data analytics platform. It also presents the benefits of this system and highlights some of the challenges that need to be addressed for its successful implementation.