Fecha de publicación: 21/10/2022 Fuente: Wipo "precision agriculture" IoT and Artificial Intelligent based Smart Farming System using Cloud Computing and Wireless Sensor NetworkABSTRACTbeing a stand-alone industry in the nation's economy. India ranks second in terms of agricultural output. Crop rotation, fertiliser, and irrigation are the main issues in agriculture. Due to technical improvements, farmers are unable to produce the highest possible output in agriculture in the current situation. The main area to concentrate on is using and working with new technologies in agriculture to enhance productivity. The Internet of Things (IoT) encourages productivity in agriculture, and its use in this sector aids in our ability to anticipate crop output and other elements that contribute to high yield. The right crop delivery is supported by parameters including soil temperature, soil pH, and water level to boost yield. In this study, "ACRIS: Agriculture Cultivation Recommender and Smart Irrigation System" is offered to provide farmers that use IoT in Precision Agriculture favourable advice for enhancing their crop production. Three parts make up the planned ACRIS system. "ARV Recommendation System: Agriculture Factor-based Relevance Vector Analysis Model for Identifying Accurate Farming Recommendations" is the name of ACRIS's initial module. Based on the pertinent vector analysis, this model detects the agricultural elements and suggests the favourable conditions. The second module is titled "AISM System: Advanced Irrigation Planner for Farmers in Precision Agriculture based on Soil Moisture Prediction." Agriculture as it is practised now requires a lot of physical labour. Farmers found it challenging to keep tabs on field conditions at all times and from any location. As a result, utilising IoT technology, the factors related to agriculture, such as temperature, humidity, rain, moisture, etc., are gathered with the use of sensors and quickly sent to the farmers.