Fecha de publicación: 21/10/2022 Fuente: Wipo "precision agriculture" In order to increase the quantity and quality of crop production from crop fields to meet the rising food demand, machine learning will be applied using IoT data analytics in the agricultural sector. Such revolutionary developments are upending traditional farming methods and creating the finest opportunities while also having a lot of drawbacks. In order to improve agriculture, the present invention makes advantage of the strength and capabilities of computing methods including the internet of things, wireless sensor networks, data analytics, and machine learning. The invention proposes the prediction model of Apple disease in the apple orchards which uses various sensors and hardware for data analytics and Machine learning in IoT system. The invention offers a Wireless Sensor Networks/Internet of Things system-based data analytics and machine learning prediction model for apple disease in apple orchards, thereby it helps the formers in improving the production and quality.