Year: 2020
Type: article
Abstract: INDIA, an agriculture-based country where the economy is dependent on agriculture and climatic conditions. Primary reason of this project is to fulfil the needs of farming quality by reducing excessive fertilizer abuse by controlling some parameters. So, the parameters are temperature, moisture, light, Ph through which we can identify the suitable crop and its nutrition level. Our project uses 3 types of sensors to increase productivity of the crops. Soil testing for productivity is taken by proposal of supplements needs. We are using Arduino UNO with the sensors. Determining the pH of soil is one of the key parameters for improving crop quality so the amount of the amount of fertilizer used is adequate and not excessive for the crops. Other main sensors used are light and hygrometer sensors. We can classify plants based on their light needs like high, medium or low. So, the light received by the crops depends upon the nearness of light. We should adequately address spatial variation for crop productivity when we consider pH to rejuvenate agriculture.
Institution: Yeshwantrao Chavan College of Engineering
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W3204772297