## 2 Related Work
Data collection, processing and communication by the wireless sensors and nodes is done by using the CC2530F256 core. The proposed monitoring system gives real-time information to the user regarding different parameters such as temperature control and fan condition etc. This system utilizes intelligent greenhouse monitoring and control techniques and helps the farmers to produce balanced and scientific crops. [PERSON] et al. [28] proposes a smart agriculture system based on IoT and automation techniques. The proposed system uses a remotely controllable robot based on GPS to execute tasks such as weeding, spraying pesticides and monitoring moisture levels etc. The proposed system also incorporates smart irrigation techniques through intelligent decision making based on real-time data from the fields. In addition to that, it also includes smart warehouse management modules. It observes the temperature, humidity as well as theft detection in the warehouse. The system architecture includes various sensors, cameras, ZigBee devices, actuators with microcontrollers and Raspberry Pi. This system alerts the user regarding irrigation and storage problems and uses a remotely controllable robot for smart irrigation and warehouse management. [PERSON] [29] proposes an activity footprints based method to detect anomalies in IoT by exploiting a multiagent algorithm. The method allows real-valued vectors to be used to map sequences of specific device activity (digital footprints). The vectors are given to mobile agents, who act according to a modified bio-inspired model for each of them. On the basis of simple local movement rules observed by all agents onto a virtual 2D space, this model allows intelligent global behaviour to evolve. In [30], the authors proposes an agent-based algorithm for achieving a distributed resources organization in an IoT environment. In order to map the IoT objects, a natural language processing approach was used, which was able to capture the semantic context and represent things with high-dimensional vectors, allowing advanced agents to operate. In a highly dynamic and, essentially, unstructured environment, the growing organised virtual structure, i.e., a similarity-based overlay network of agents, allows for the development of informed resource selection/discovery services, making them more efficient. The approach's validity has been confirmed by preliminary results. [PERSON] et al. [31] proposed a preliminary study case of a probabilistic approach in an intrusion detection system over the CAN-bus to guarantee cyber security inside connected vehicles. An innovative two-step detection algorithm has been used to exploit both the variation of the status parameters of the various ECUs over time and the Bayesian networks which can identify a possible attack. Starting from a domain analysis is possible to find out what are the parameters of interests and how these are related to each other. [PERSON] et al. [3] provided brief overview of IoT regarding current architectures, technologies, protocols, and applications. They discussed in details various applications which is based on IoT i.e., smart Cities, smart roads, and smart industries. Exiting security protocols i.e., standard Datagram Transport Layer Security protocol (DTLS) is not suitable for IoT constrained devices and is expensive due to its computational overhead, complexity and lengthy cipher suites process. However, the DTLS protocol needs to be modified in such a way that it's feasible for resource constrained devices. Hence, researchers are looking for alternative security frameworks to replace DTLS. In this research work, we propose a lightweight and robust authentication framework for agriculture application and evaluate its performance to show that it is feasible for constrained IoT devices.