TY - JOUR
T1 - Increasing rice productivity in presence of climate change using Internet of Things (IoT)
AU - Firmansyah, Mas Ahsan Sandya
AU - Suryani, Erma
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences.
PY - 2024/3/6
Y1 - 2024/3/6
N2 - Climate change is becoming increasingly unpredictable. This also has an impact on agriculture, such as the increase in rice productivity. The internet of things is one of the latest technologies that can help increase land productivity. One of the uses of the Internet of things is to identify the temperature and rainfall. The problems currently faced by farmers are determining planting schedules and pest control that caused the decline in rice production. In this study, IoT will be designed to develop smart agriculture using system thinking to increase agricultural dryland productivity where agriculture in Madura is classified as dryland agriculture with rainfall amounts falling into the low-medium category of 50 -150 mm/day, this also affects the temperature in rice cultivation, so the use of IoT will focus on controlling the temperature, pest and stability of the rice paddy soaking water while planting rice until the harvest process for maximum results. The result of this study is a causal loop diagram of internet-based system thinking that can be used as a recommendation to increase agricultural land productivity with temperature, pest and irrigation control using IoT, especially in the form of sensor technology.
AB - Climate change is becoming increasingly unpredictable. This also has an impact on agriculture, such as the increase in rice productivity. The internet of things is one of the latest technologies that can help increase land productivity. One of the uses of the Internet of things is to identify the temperature and rainfall. The problems currently faced by farmers are determining planting schedules and pest control that caused the decline in rice production. In this study, IoT will be designed to develop smart agriculture using system thinking to increase agricultural dryland productivity where agriculture in Madura is classified as dryland agriculture with rainfall amounts falling into the low-medium category of 50 -150 mm/day, this also affects the temperature in rice cultivation, so the use of IoT will focus on controlling the temperature, pest and stability of the rice paddy soaking water while planting rice until the harvest process for maximum results. The result of this study is a causal loop diagram of internet-based system thinking that can be used as a recommendation to increase agricultural land productivity with temperature, pest and irrigation control using IoT, especially in the form of sensor technology.
KW - Agricultural productivity
KW - Internet of Things
KW - Rice
KW - Sensor Technology
KW - System dynamics
UR - http://www.scopus.com/inward/record.url?scp=85189239600&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/202449901005
DO - 10.1051/e3sconf/202449901005
M3 - Conference article
AN - SCOPUS:85189239600
SN - 2267-1242
VL - 499
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 01005
T2 - 1st Trunojoyo Madura International Conference, TMIC 2023
Y2 - 29 November 2023
ER -