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Quantam Computing in Agriculture

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Quantam Computing  Quantum computing is one of the promising tools to address complex problems which take more time to provide solutions. Quantum computing works on the qubits or quantum bits. It has been found that the number of qubits is directly proportional to the performance of the system. Health and agriculture are the two important sectors which deal with different complex multi-objective and many-objective problems. As the objectives are associated with multiple features and multiple computations, quantum computing works on those multiple features at a time to address specific objectives within an optimal time period. This chapter explains the basics of quantum computing and application of it both in both the health and agriculture sectors. Agriculture   In the case of plants, instead of identifying the exact gene to change to, say, improve drought resistance, we crossbreed promising varieties and conduct yield trials — thousands upon thousands of them — to see if the...

Task : 9

Task 09 👨🏻‍💻 Team Task Kubernetes Integration with Python-CGI Task Description 📄 📌 In continuation of task 7.1 you need to Integrate Kubernetes commands that can be run through webUI created by you. 👉 This time create webUI page as such that using normal English conversation your all commands can run in background. Example - when we write 'run deployment using httpd image' then it run complete deployment command in backend. Feature necessary - 👉 It can launch pods with specific name given by user. 👉 Run deployment using image and name given by user. 👉 Expose services on given user input port number. 👉 Scale the replica according to user need. 👉 Delete complete environment created. 👉 Delete specific resources given by user. 👉 Extra features related to k8s ( Optional) Note - There should be webUI based menu display so that user can get to know what your webapp can do.