TY - GEN
T1 - A Comparison of Cultivation Techniques NFT-I, FR and Soil
T2 - 2nd International Conference on Data Science and Applications, ICDSA 2021
AU - Ibarra, Manuel J.
AU - Alcarraz, Edgar W.
AU - Tapia, Olivia
AU - Ponce, Yalmar
AU - Calderon-Vilca, Hugo D.
AU - Quispe, Carlos R.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Hydroponics is an agricultural method where plants grow with water and mineral nutrient solutions. For a good production of vegetables, it is essential to keep within an optimal range the values of the variables that influence growth: temperature, pH, electrical conductivity and frequency of irrigation. This article compares three cultivation sub-systems NFT-I, FR and Soil. Additionally, it describes the IoT computing for monitoring the principal variables: temperature, pH, electrical conductivity and frequency of irrigation. This prototype allows notifying the farmer about the current status of each variable through Telegram social network and a Web site. The methodology was as follows: start planting the same day in the three sub-systems, controlling the values of the variables obtained by the sensors, and notifying the farmer when the values exceed the established limits, then the weight, the number of leaves, length and width were measured. The results have shown that this system can reduce electricity consumption by 97.9%, furthermore, use green computing approach with solar panel energy supply. Finally, lettuce production was good, and in terms of weight, the number of leaves, length and width, followed the relationship FR > NFT-I > Soil.
AB - Hydroponics is an agricultural method where plants grow with water and mineral nutrient solutions. For a good production of vegetables, it is essential to keep within an optimal range the values of the variables that influence growth: temperature, pH, electrical conductivity and frequency of irrigation. This article compares three cultivation sub-systems NFT-I, FR and Soil. Additionally, it describes the IoT computing for monitoring the principal variables: temperature, pH, electrical conductivity and frequency of irrigation. This prototype allows notifying the farmer about the current status of each variable through Telegram social network and a Web site. The methodology was as follows: start planting the same day in the three sub-systems, controlling the values of the variables obtained by the sensors, and notifying the farmer when the values exceed the established limits, then the weight, the number of leaves, length and width were measured. The results have shown that this system can reduce electricity consumption by 97.9%, furthermore, use green computing approach with solar panel energy supply. Finally, lettuce production was good, and in terms of weight, the number of leaves, length and width, followed the relationship FR > NFT-I > Soil.
KW - Arduino
KW - Floating raft
KW - Hydroponics
KW - IoT
KW - Lettuce
KW - Monitoring
KW - Nutrient film technique
KW - Raspberry PI
KW - Vegetables
UR - http://www.scopus.com/inward/record.url?scp=85121591755&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-5120-5_26
DO - 10.1007/978-981-16-5120-5_26
M3 - Conference contribution
AN - SCOPUS:85121591755
SN - 9789811651199
T3 - Lecture Notes in Networks and Systems
SP - 331
EP - 347
BT - Proceedings of International Conference on Data Science and Applications, ICDSA 2021
A2 - Saraswat, Mukesh
A2 - Roy, Sarbani
A2 - Chowdhury, Chandreyee
A2 - Gandomi, Amir H.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 April 2021 through 11 April 2021
ER -