Smart Farming and Image Analysis of Agriculture Through Deep Learning Resulting in Land Quality Check
Sara Shree, Aditya Shantanu, Rajbala Simon, Ajay Rana
- 发表年份
- 2021
- 引用次数
- 5
摘要
Machine Learning is the ability provided to machines to improve with experience. In the world, which is preparing itself to get adapted to automated tools in the upcoming future, machine learning defines the core of these dynamic fields such as robotics, various E platforms, etc. & with the extent in vision it has a wider scope. History provides us with the traces that our ancestors discovered the concept of civilization due to agriculture. In the modern world blending the trending automated tools with traditional agricultural practices. India is the largest producer of grains in the world. Being from the land of farmers and farmlands we come across a wide variety of crops that are grown in respective seasons. But sometimes the blessing turns out to be a curse for the farmers. There is a wide variety of challenges farmers face such as climatic disasters, pests, quality of seeds, land quality, etc. and here we are working on using the modern machinery methods to solve these issues and paving the nation towards Jai Jawaan, Jai Kissan, Jai Vigyan. In this present research work, we investigate the Deep learning technology in encompassing traditional farming into Smart farming
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