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This paper proposes an algorithm that enhances the speed of transmission and secure images that are transmitted over internet or a network. The proposed cryptosystem uses a modified k-shuffling technique to scramble pixels of images and further decomposes them using Residue Number System. Simulations are done using two moduli sets with the modified k-shuffle technique. Analyses of results showed that both simulations could secure images without any loss of information and also the time taken for a complete encryption/decryption process is dependent on the moduli set. Among the chosen moduli sets, the even moduli set optimizes and completes execution using less time as compared to the traditional moduli set. The proposed scheme also showed resistance to statistical attacks (histogram, ciphertext, correlation attacks) and a significant reduction in the size of cipher images which enhances the speed of transmission over network.

This article proposes a sensor network framework built using Internet of Thing (IoT) and Opens Source tools to automate farm fields monitoring in order to have the farm communicate real time with the necessary stakeholders. The study reviewed a couple of Internet of Things technology in Agriculture and used Open source software and hardware technologies to build-up a prototype that is cheaper and easy to deploy compared to existing proprietary systems. The designed system uses Raspberry Pi model 3 that serves as base station for the sensor network and connects with an Arduino Uno serving as an intermediary between various sensors and the Raspberry Pi. Among the sensors integrated in the system are DHT11 Soil Sensor, Humidity and Temperature Sensor, Passive Infra-Red (PIR) Sensor and Raspberry Pi Camera Module. The study deployed the prototype and tested it over Open IoT API platforms like KAA and OpenIOT for automation, monitoring and data collection

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