Abstract: The present disclosure generally relates to a system for data seclusion in image & audio files comprises a data processing unit for receiving input signals and converting into digitized image and audio data; a compressor unit for reducing size of the digitized image and audio data using a j-bit encoding at a variable rate; an encryption unit for encrypting the compressed digitized image and audio data using an advanced encryption standard (AES); a control unit for stripping the encrypted compressed digitized image and audio data into a plurality of portions, wherein the control unit generates a cryptographic key for decrypting every encrypted image and audio data; and a blockchain database configured with a cloud server for receiving the portions of the encrypted compressed digitized image and audio data and proportionately storing the portions of the encrypted compressed digitized image and audio data onto a plurality of storage media.

Abstract: The present invention generally relates to a plant disease detection system comprises an acquisition unit for collecting pictures of sick and sound plant leaves gathered under controlled conditions from a public dataset; a training unit for training a convolutional neural network technique-based model to distinguish harvest species and sicknesses; a camera for capturing real time image of a plant; a central processing unit for estimating weight file (BMI) and muscle versus fat ratio status (BF %) utilizing bio impedance in order to detect disease of the plant, wherein the weight file (BMI) and muscle versus fat ratio status (BF %) is estimated upon comparing real time image of the plant with pictures of sick and sound plant leaves gathered under controlled conditions; and an alert unit for transferring an alert signal of the detected disease and its stage on a user computing device.