Open AccessSmart Farming enabled by IoT and Spectral Imaging
Author(s) -
Pratik Mohanty,
Vivek Valagadri,
S. Ramya
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2161/1/012044
Subject(s) - multispectral image , cloud computing , computer science , wireless sensor network , agriculture , internet of things , field (mathematics) , microcontroller , wireless , real time computing , agricultural engineering , embedded system , telecommunications , artificial intelligence , computer network , engineering , geography , operating system , mathematics , pure mathematics , archaeology
Smart Farming System is an emerging concept which utilizes sensors in the field enabled through IoT to get live data from the farm. This paper aims at developing such a Smart Farming system using the highly advanced technology of Texas instruments microcontrollers, MSP430 and TIVA C Series TM4C1294. Along with IoT the system uses Multispectral Imaging in conjunction with Wireless Soil Embedded Sensor Networks. The goal of the system is to provide reliable live data which is obtained from the multiple sensor nodes placed throughout the farm, that use the sink nodes to transfer the data to the cloud. The farmer can access this data using the Blynk Mobile app and can thus take further calculated actions towards maintaining the farm and further monitor the soil/crop health to increase the ultimate yield from his farm.