Precision Agriculture is one of the most promising strategies for solving problems of resource optimization, environmental sustainability and food security in modern agricultural practice. In this paper, author explores whether automation, data-driven decision-making and real-time monitoring offered by the Internet of Things (IoT) can help in precision agriculture. To monitor various aspects of agricultural applications such as soil moisture, temperature, humidity and crop health, Author studies an Internet of Things based framework that combines sensors, cloud computing and machine learning algorithms. This technology improves crop productivity and resource efficiency dramatically with automation of insect control, fertilization and irrigation