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AI Based Automatic Irrigation System Using IoT

EasyChair Preprint no. 7930

4 pagesDate: May 7, 2022


In tropical countries, the temperature is very high and evaporation is more rapid. So, the automatic irrigation is necessary for ample supply of water and to prevent scarcity of water in the dry winter season. To achieve the benefits of the ecosystem such as water and solar energy conservation the efficiency of irrigation system must be improved. By using modern technologies to control the water level of farming and providing the automatic fertilization as per the nutrition requirements in the plants. The use of organic fertilizers may lead to a reduction in the use of chemical fertilizers such as pesticides, insecticides, chemical manures etc. The automation of the process is further induced by using WI-FI module which will lead to control the process from various distances apart. The manpower is ultimately reduced by subsequent improvement in the drip irrigation system. The basic aim of the project is to improve the efficiency of the irrigation system. This proposed system has overcome limitations of previous systems like distance problem, range problem.

Keyphrases: AI, IoT, Microcontroller, Sensors

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {S Saravanakumar and V Dinesh Kumar and I Jeya Daisy and V Manimekalai},
  title = {AI Based Automatic Irrigation System Using IoT},
  howpublished = {EasyChair Preprint no. 7930},

  year = {EasyChair, 2022}}
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