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To Enhancing the Agricultural Sector by Using IOT Enabled CNN Techniques

EasyChair Preprint no. 7169

24 pagesDate: December 7, 2021


By the growth of world population, most of the Countries that focusing in an agricultural sector, by improving the majority of food production is very important role in the global economy. With the help of IOT Concepts, the massive agriculture improvement Technology has been widely using modern Agricultural farming [1, 2]. This research effort that implies the Guidance of tools and Techniques to overcome the Agricultural challenges like sensing the temperature of water and soil management, soil humidity, needed nutrients, disease detection, analysing the plant growth, water consumption, crops cultivation. To tackle the problems in un high yielding. There are several AI techniques have been explored, likewise, by enhancing the techniques of CNN in Agriculture to yields the high performance for the end users. The layers of CNN are easy to reduce the effort of manpower by using Mobile Applications based solutions and proposing the Surveillance system to identify the Automatic crop cultivation with accurate solution [2].

Keyphrases: AI, CNN, Improving the Crop Yield, IoT, mobile applications, Modern Agricultural Techniques

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {R Archana},
  title = {To Enhancing the Agricultural Sector by Using IOT Enabled CNN Techniques},
  howpublished = {EasyChair Preprint no. 7169},

  year = {EasyChair, 2021}}
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