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Design and development of soil-less plant health monitoring system using deep learning


Author : Rajlaxmi Salunkhe and Prof. Dr. Rajeswari Kannan

Pages : 190-194
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Abstract

Increasing population of the planet leads to concern about meeting the need for food for every living entity on the planet for the future, and there should be some smart ways in which people can produce their own food.The intelligent and stable hydroponic farming system is a new method of soilfree farming and will help users track their hydroponic farm / garden plant health remotely without relying on time and location.The smart and stable Hydroponic farming device is a new way of soil-free farming and it will help users track their hydroponic farm / garden remotely without relying on time and location, which will provide maximum food production in a limited space with good food quality irrespective of the use of large quantities of pesticides for plants.The current challenges with traditional farming include poor water levels of land in many regions of the country, poor seed quality, increased use of fertilizers and biocides, and many more. The hydroponic farming method would ensure the health of consumers such as humans and animals with nutrient-rich benefits and costeffective compared with traditional farming.The cultivation of food without compromising all factors. The system will help individuals to grow plants without compromising ongoing work, time and space, and they can monitor them from anywhere.

Keywords: Deep learning,Nutrients,Monitoring system,soilless Farming,statistical measures

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