• R. Shree Krishna
• Swasti Sudha
• Shreshta R. Damarla
• Rishal Preethika Fernandes
• Vineetha Deepthi D Souza

Agriculture has remained the spine of human sustenance on earth. Since times unknown humans have learned and developed methods to produce food and other resources for their livelihood. Agriculture has seen large developments, especially in the last century. Scientific methods have accelerated the process of agriculture to a large extent. These developments have improved productivity by leaps and bounds. Though these developments come with a lot of benefits they also include several demerits that adversely affect the soil, humans and livestock. To retain and multiply the benefits contributed by these scientific development and to overcome the demerits and challenges faced in today’s agricultural practices, this paper aims at discussing about methodologies that can be used to build an agricultural model that is much more simple and efficient. The model aims at automation using IoT that could lead to minimized labor efforts by almost refraining human intervention in agricultural practices. Machine learning algorithms can be used for weather and soil-based crop detection for better productivity. The downside caused due to the use of synthetic chemicals can be overcome using organic methods. A web portal to facilitate direct producer to consumer retail can be deployed to curb the exploitation on farmers by the elimination of middlemen. Hence the paper aims at developing an agricultural model based on IoT, machine learning, organic farming and a web portal for direct producer to consumer retail.

Internet of Things (IOT), Machine Learning, Automation, Technological Development, Organic Farming, Soil Infertility, Producer to Consumer retail, Deep Learning Neural Network, Convolutional Neural Network, Random Forest

"LITERATURE SURVEY ON IOT BASED SMART AGRICULTURAL SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g533-g538, March-2023, Available :http://www.jetir.org/papers/JETIR2303682.pdf

"LITERATURE SURVEY ON IOT BASED SMART AGRICULTURAL SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg533-g538, March-2023, Available at : http://www.jetir.org/papers/JETIR2303682.pdf