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Software Defined Networking (SDN),is an archetype which decouples the control plane and data plane. Data plane is used to just forward the data and control plane is used to decide how data should be forwarded. Open networking Foundation (ONF) is a group that is used in the development of SDN. For interfacing of control plane and data plane in SDN requires some protocol. One such protocol is Open Flow. The first standard interface designed for SDN is Open Flow. It provides high-performance, controlling granular traffic across multiple vendor's network devices. As the network infrastructure of an organization grows, it's very difficult to manage and control such networks from a centralized system like laptop through programs. As an attempt in this paper we are adopting the SDN technology to manage and control the networks programmatically. In this paper we are addressing the two issues for providing security to the network from DDoS mitigation and balancing of the load using SDN. In this paper for DDoS mitigation we are assigning a threshold value so that the SDN controller resists the DDoS attack programmatically. For Load balancing is to maximize throughput, minimizes response time, avoid overload by using round robin or random policy method using a new approach called SDN.

Software Defined Networking (SDN),is an archetype which decouples the control plane and data plane.Data plane is used to just forward the data and control plane is used to decide how data should be forwarded. Open networking Foundation (ONF) is a group that is used in the development of SDN. For interfacing of control plane and data plane in SDN requires some protocol. One such protocol is Open Flow. The first standard interface designed for SDN is Open Flow. It provides high-performance, controlling granular traffic across multiple vendor’s network devicesAs the network infrastructure of an organization grows, it’s very difficult to manage and control such networks from a centralized system like laptop through programs. As an attempt in this paper we are adopting the SDN technology to manage and control the networks programmatically. In thispaper we are addressing the two issues for providing security to the network from DDoS mitigation and balancing of the load using SDN.In this paper for DDoS mitigation we are assigning a threshold value so that the SDN controller resists the DdoS attack programmatically. For Load balancing is to maximize throughput, minimizes response time, avoid overload by using round robin or random policy method using a new approach called SDN.

Smart Agriculture is a development that emphasizes the use of information technology in the farming. Most of the population in India depending on agriculture. This situation is one of the reason, that hindering the development of country. Nowadays, even though farmers get more yield for their crop but the market price for that crop will be less, in that case farmers get loss for their product and vice versa. Particularly, when growing new crops, farmers face the risks of both market price and production problems. To overcome these problems, a machine learning technology is used. Predictive analysis is a branch of data mining which predicts the future probabilities and trends. The prediction will help the farmers to choose whether the particular crop is suitable for specific rainfall and crop price values. This approach is to increase the net yield rate of the crop, based on rainfall. Prediction can be carried out by using various machine learning algorithms like linear regression, SVM, K NN method and decision tree algorithm out of which SVM is giving the highest efficiency. The predictive analysis technique can be implemented in several government sectors like APMC, kissan call center etc., by which the government and farmers can get the information of the future rainfall, crop yield and the market price.