TY - GEN
T1 - Small-Scale Precision Agriculture
T2 - 3rd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2022
AU - Velazquez-Gonzalez, Roberto S.
AU - Sosa, Julio C.
AU - Ventura-Zapata, Elsa
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Precision agriculture is one of the most relevant paradigms in recent years, as it represents the integration of information technologies with traditional agriculture. However, a decentralized approach to food production is necessary, taking advantage of limited spaces in urban areas such as rooftops, patios, gardens, etc. The application of precision agriculture on a small and medium scale will be vital in this regard, since much of the technology that is currently integrated is oriented to massive production. In this document, an example of precision agriculture for small-scale production is shown by developing a low-cost germination chamber based on a Raspberry Pi control card, as well as the use of a Fuzzy Logic for the control of environmental variables. Methodology V was implemented, there adopting as control parameters the temperature and relative humidity of the substrate within the germination chamber. Tomato seeds were used to evaluate plant development during the first 30 days of life by comparing yield between plants developed in the germination chamber and plants developed under natural environmental conditions. The control system based on Fuzzy Logic proved to be efficient in maintaining temperature and soil moisture within the desired ranges, with an error of respectively; this resulted in obtaining a quality plant compared to control plants.
AB - Precision agriculture is one of the most relevant paradigms in recent years, as it represents the integration of information technologies with traditional agriculture. However, a decentralized approach to food production is necessary, taking advantage of limited spaces in urban areas such as rooftops, patios, gardens, etc. The application of precision agriculture on a small and medium scale will be vital in this regard, since much of the technology that is currently integrated is oriented to massive production. In this document, an example of precision agriculture for small-scale production is shown by developing a low-cost germination chamber based on a Raspberry Pi control card, as well as the use of a Fuzzy Logic for the control of environmental variables. Methodology V was implemented, there adopting as control parameters the temperature and relative humidity of the substrate within the germination chamber. Tomato seeds were used to evaluate plant development during the first 30 days of life by comparing yield between plants developed in the germination chamber and plants developed under natural environmental conditions. The control system based on Fuzzy Logic proved to be efficient in maintaining temperature and soil moisture within the desired ranges, with an error of respectively; this resulted in obtaining a quality plant compared to control plants.
KW - controlled environment
KW - fuzzy logic
KW - germination chamber
KW - precision agriculture
UR - http://www.scopus.com/inward/record.url?scp=85161126740&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-32213-6_20
DO - 10.1007/978-3-031-32213-6_20
M3 - Contribución a la conferencia
AN - SCOPUS:85161126740
SN - 9783031322129
T3 - Communications in Computer and Information Science
SP - 270
EP - 283
BT - Smart Technologies, Systems and Applications - 3rd International Conference, SmartTech-IC 2022, Revised Selected Papers
A2 - Narváez, Fabián R.
A2 - Urgilés, Fernando
A2 - Salgado-Guerrero, Juan Pablo
A2 - Bastos-Filho, Teodiano Freire
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 16 November 2022 through 18 November 2022
ER -
