TY - GEN
T1 - A Review on Agriculture Monitoring Systems using Internet of Things (IoT)
AU - Osupile, Keene
AU - Yahya, Abid
AU - Samikannu, Ravi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - As technological advancements have been introduced and utilized, there is a need to make strides in agriculture. The fundamental problem in agriculture is increasing farming efficiency and quality without regular physical monitoring to meet the rapidly expanding demand for food. This paper assesses and reviews the role of IoT in field crop monitoring to improve productivity and efficiency in agriculture. With the emergence of new advanced technologies, it has become possible to implement precision agriculture through IoT. It is vital to screen the ecological conditions in and around the field to accomplish a crop monitoring framework. As the climate changes over time, there is a need for crop growth to be also monitored and understood. Some of the parameters that must be examined to improve the yield include soil quality, atmosphere conditions, moisture, temperature, and humidity.
AB - As technological advancements have been introduced and utilized, there is a need to make strides in agriculture. The fundamental problem in agriculture is increasing farming efficiency and quality without regular physical monitoring to meet the rapidly expanding demand for food. This paper assesses and reviews the role of IoT in field crop monitoring to improve productivity and efficiency in agriculture. With the emergence of new advanced technologies, it has become possible to implement precision agriculture through IoT. It is vital to screen the ecological conditions in and around the field to accomplish a crop monitoring framework. As the climate changes over time, there is a need for crop growth to be also monitored and understood. Some of the parameters that must be examined to improve the yield include soil quality, atmosphere conditions, moisture, temperature, and humidity.
KW - Agriculture
KW - Crop Monitoring
KW - Internet of Things
KW - Machine Learning
KW - Smart Farming
KW - Wireless Sensor Networks
UR - https://www.scopus.com/pages/publications/85133450473
UR - https://www.scopus.com/pages/publications/85133450473#tab=citedBy
U2 - 10.1109/ICAAIC53929.2022.9792979
DO - 10.1109/ICAAIC53929.2022.9792979
M3 - Conference contribution
AN - SCOPUS:85133450473
T3 - Proceedings - International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022
SP - 1565
EP - 1572
BT - Proceedings - International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022
Y2 - 9 May 2022 through 11 May 2022
ER -
