Search

Internet of things-Any device that is connected to internet represents internet of things. A thing can be a sensor or device or anything that physically exist in the real world. Now-a-days-IOT plays a very major role in every aspect of life. IOT sensors made efficiency and convenience for human life. Internet of things in the field of irrigation is very beneficial to farmers. In IoT-based smart irrigation, system monitors the crop condition with the help of sensors and automating the irrigation system. IoT-based smart farming is highly efficient than traditional model. IOT in agriculture has given a very big impact. [ABSTRACT FROM AUTHOR]

Agriculture plays a significant role in improving economy of the nations. India is an agrarian nation and its economy principally dependent on crop profitability. The effect of environmental change in India, the vast majority of the farming crops are being seriously influenced regarding their performance over a time of the most recent twenty years. Anticipating the crop yield ahead of it's cultivate would assist the farmers for taking suitable measures for taking suitable precautions for storage and selling. Precise yield anticipation requires major conception of the association amid yield and these intuitive elements, and to unearth such association needs both extensive datasets and incredible strategies. In this article, we developed a Deep-Neural-Networks (DNNs) method that takes benefit of conventional models. This technique was establish to have a leading forecast exactness; with a Root-Mean-Square-Error (RMSE) being 15%of the mean yield and 50% of the standard-deviation for the test dataset utilizing estimated environment information. Our empirical outcomes suggested that this approach essentially outperformed other techniques like Lasso, Shallow Neural Networks (SNN), and RegressionTree(RT). The results additionally discovered those biological elements had a big impact on the crop production than genotype. [ABSTRACT FROM AUTHOR]