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@article{151579,
        author = {mohd azeem khan and Aparna Shukla},
        title = {Agricultural Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {285-289},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151579},
        abstract = {Mobile applications and services make things simpler as they are easy to use and are far more trendy these days. As smart phones are likely much less costly then other electronic devices like computer system, pagers, laptop and these are the things that not possible everyone have mobile app are well known device that probably everyone have they are easy to use and bring modification at ease. so looking towards upon the farming popularity in India we come up with a idea of farming based android application with implementation of deep learning and machine learning. India is a agriculture based country as nearly 38% of the population in India is related to farming. But as a large number of people is involved in farming there are a lot of mistakes and wrong techniques are used all around the India that lack of knowledge lead those farmers loss there crops. Altimatly money loss and Indian economy heard down wards. So the idea behind the app is to analyse the pre-existing data with AI and ML to predict a best take-able move towards the situation. mobile app are the best means for this model as it is free of cost on any android store.  },
        keywords = {Agriculture, farming, machine learning, android phone, mobile app},
        month = {},
        }