Internet of things integrated smart agriculture for weather predictions and preventive mechanism Siripuri Kiran a , Satya Sandeep Kanumalli b , Komanduri Venkata Sesha Sai Rama Krishna b , Naresh Chandra c a Department of CSE, Kakatiya Institute of Technology &Science, Warangal, Telangana, India b Department of CSE, Vignan’s Nirula Institute of Technology and Science for Women, Guntur, AP, India c Department of Computer Applications, KIET Group of Institutions, Delhi-NCR, Ghaziabad, India article info Article history: Received 22 October 2020 Accepted 4 November 2020 Available online xxxx Keywords: Smart agriculture IoT based smart agriculture IoT for weather predictions abstract The application of science and technology is weather forecasting to predict a specific space condition in the atmosphere. Since massive data researchers are available, there was an interest in weather prediction and forecast. It helps to preserve human life and their resources by forecasting correctly. Predictions of crop yields development, traffical congestions, maritime navigation, forest development and protection valuable techniques in the successful forecasting of weather conditions. Data mining techniques / algo- rithms are more efficient than conventional statistical approaches / approaches. We propose to introduce a new Internet of Things (IoT) based smart machine learning model to effectively predict the weather by analysing and finding the required trends in the specified big weather sets. The efficient methods of learning under classifications & regression are metaheuristic and naturally motivated approaches. Good weather forecasting can be accomplished than the other techniques of data mining. Ó 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering. 1. Introduction The Internet of Things requires tremendous generation, pro- cessing and storing of sensor data. Cloud is needed to handle and monitor all this. Successful cloud technology deployment is impor- tant for this. In the coming years, the Internet of Things (IoT), which is difficult to handle massive data or BigData without cloud convergence, will be turned into a Cloud of Things (CoT) (Fig. 1). IoT uses sensors and integrated chips that are used in our sys- tem to be controlled and tracked on the basis stage. Classically, IoT implementation uses RFID (Radio Frequency Identification)- based systems. IoT refers to a wide range of devices including car- diac implants or biochip transponders for remote monitoring and prescription patients, wildlife, electric clams on coastal waters, cars with embedded sensors and field-operated devices which sup- port fire fighters search and rescue. Examples of the new industry include smart thermostat and laundry systems or dryers using wireless Internet access remotely. In 2015, Gartner, Inc. is projected to use 4.9 billion linked prod- ucts, up 30 percent compared with 2014 and hit 25 billion between now and 2020. In all sectors and all fields of society the Internet of Thingen (IoT) has become a dominant force in the field of transfor- mation of enterprises (Fig. 2). Gartner forecasts that IoT will spend 69.5 billion US dollars on programmes over the course of 2015 and 263 billion US dollars over 2020. The number of linked products will be guided by user apps, while most of the sales will be shielded. In the consumer market in 2015 Gartner forecasts that 2.9 billion related goods will be in use and over 13 billion will be in use by 2020. The automotive industry is forecast to rise at 96% in 2015. According to Gartner’s latest study, The Internet of Things (IoT) will produce an incremental revenue of over $300 billion in ser- vices in 2020 that excludes PCs, Tablets, and Smartphones. The ser- vices provide electronics, integrated applications, networking and information services. 1.1. Smart agriculture IoT Internet of Things (IoT) climate-smart agriculture (CSA) offers an integrative solution to resolve these related challenges of food https://doi.org/10.1016/j.matpr.2020.11.081 2214-7853/Ó 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering. Materials Today: Proceedings xxx (xxxx) xxx Contents lists available at ScienceDirect Materials Today: Proceedings journal homepage: www.elsevier.com/locate/matpr Please cite this article as: S. Kiran, S. Sandeep Kanumalli, K. Venkata Sesha Sai Rama Krishna et al., Internet of things integrated smart agriculture for weather predictions and preventive mechanism, Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2020.11.081