• Lavanya M
• Ramya M
• Shamala R
• Sneha K M
• Ashwini K R

The population in India depends on agriculture and farming. Our Indian economy directly depends on the the agricultural production and agriculture is the sector which contributes the highest to India’s Gross Domestic Process(GDP). Though the economic production is highest from agriculture the methods used are traditional and are not tremendous. Traditional way of farming is not efficient and unreliable. Managing water supply to the plants for better yield manually is difficult and this can be overcome through smart irrigation system which can employed by using Iot technique. Most of the crops are affected by disease and the production goes down as the yield of the crop decreases. According to a survey, in India 18% of the crops are affected by pest and the GDP decreases. To overcome this we are employing a method of it effected with disease can image processing where the plan be detected. The project involves smart irrigation system which is used for monitoring the water supply to the plants according to the yield requirement after the detection of moisture, humidity and temperature of the environment. It also detects the disease in the plant through image processing by open computer vision process.

IOT, ESP12, Raspberry Pi, Blynk server, Dropbox

"AN EFFICIENT IOT BASED SMART IRRIGATION AND PLANT DISEASE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.123-128, May 2019, Available :http://www.jetir.org/papers/JETIRCR06028.pdf

"AN EFFICIENT IOT BASED SMART IRRIGATION AND PLANT DISEASE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp123-128, May 2019, Available at : http://www.jetir.org/papers/JETIRCR06028.pdf