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In modern times, the Internet of Things (IoT) is having a major impact on agriculture. Risk and security parameters are always linked when researching, developing, implementing and deploying IoT-based devices. It is a myth that security does not play a major role in IoT applications in agriculture. Data accuracy and availability is a high-priority requirement for farmers who help achieve high yields. A secure IoT network requires a situational approach, often referred to as dynamic security. An advanced security approach to improving IoT security is adaptive security, a cybersecurity-based approach. The lack of security in a smart farming environment is a very important factor for agricultural growth. In this study, we introduce IoT together with adaptive security operations and integrate it into a smart farming environment. We propose an evaluation framework that can be applied to diverse smart farming environments. Several scenarios of an agricultural environment with smart devices and sensors are described for execution. Storylines with real-time environments are then derived from these scenarios to extend and incorporate adaptive security frameworks and scenarios in IoT-based agriculture. [ABSTRACT FROM AUTHOR]

adopting innovative technologies. The competition in the international market depends on the rate and production of agriculture yield. Future is all about the Internet of Things (IoT) where each device is going to be smart and interconnected with each other through available network. These IoT based devices are intelligently controlled and accessible across the world. The purpose of this research work is to introduce the crucial role of IoT in the field of agriculture, and its viable application make a smarter agriculture system of Pakistan. The farmers are still using the traditional methods to look after their crops. Traditional methods and lack of technology eventually decrease the production rate gradually. To enhance the production of crops, in this paper we proposed the IoT based model for the real time agriculture systems of Pakistan. By employing this model in agriculture system, our farmers will be aware of their crop conditions irrespective of their locations. The key feature of this model is that it experiences less congestion at the sink node, so the farmers get an accurate sensing information about their crops. This model also have the solar energy harvesting system to cope with the energy issue of sensing nodes. In this paper two well-known routing protocols namely as (a) Destination Sequenced Distance Vector (DSDV) and, (b) Ad hoc On Demand Distance Vector (AODV)are deployed in the grid topology of our proposed IoT based agriculture environment of Pakistan to get the accurate sensing information. Moreover, the generated results revealed less congestion in proposed system in terms of Packet dropped ratio (Pdr) [ABSTRACT FROM AUTHOR]