• Dr.R.HEMALATHA
• Ms.G. NIVASHINI

The main and largest manufacturing sector throughout the world was agriculture, which has evolved from the prehistoric age to the technologically advanced 21st century, where individuals are constantly using gadgets to solve complicated challenges. The Internet of Things (IoT) connects every digital object in existence, making the globe a global community thanks to the power of Information and Communication Technologies (ICTs). Almost every business, including farming, has experienced radical change as a result of the rapid spread of IoT-based technology, which has replaced statistical with quantitative methods. Such deep changes are changing conventional farming methods and opening up new opportunities in the face of diverse difficulties. Farmers may now track the state of their crops in actual time because of the changes that have been provided. Farmers can automate tasks in the farmland with the help of automated IoT solutions because these solutions are capable of making accurate decisions based on underlying challenges or performing actions to overcome such challenges, alerting farmers in real-time, and ultimately resulting in increased productivity and largest harvest. In this context, they demonstrate the need for smart farming by introducing a cloud-enabled low-cost sensorized system for real-time monitoring and managing chores on a tomato plantation in an indoor environment. The results of this research are expected to be crucial in creating and marketing smart farming solutions that will improve quality and output while also facilitating the shift to sustainability ecology.

Index Terms: Internet of Things; Agriculture; Cloud System; Deep Learning; Information and Communication Technology

"STUDY ON AUTOMATIC AGRICULTURE PREDICTION USING IoT AND DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.e158-e167, October-2023, Available :http://www.jetir.org/papers/JETIR2310334.pdf

"STUDY ON AUTOMATIC AGRICULTURE PREDICTION USING IoT AND DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppe158-e167, October-2023, Available at : http://www.jetir.org/papers/JETIR2310334.pdf