Application of Logistic Model to Root Growth of Vegetables under Drip and Mist Irrigation
- DOI
- 10.2991/absr.k.220305.031How to use a DOI?
- Keywords
- Logistic Model; Root Growth; Drip Irrigation; Mist Irrigation; Vegetables
- Abstract
Mathematical model uses a set of mathematical equation to represent of a system. In agriculture, one of the functions of mathematical models is to predict crop growth. The objective of this paper was to apply the logistic model to root growth of three types of vegetables, namely water spinach, mustard, and spinach. The vegetables were cultivated in a screen house and irrigated with drip and mist irrigation. The vegetables were grown in rhizobox-type root windows to observe the root depth every other day. The logistic model was then applied to root depth to determine model parameter µ to characterize each root growth. The analysis resulted that the model parameter µ were -0.087, -0.116, -0.166 for water spinach, mustard, and spinach under drip irrigation, respectively. Meanwhile, the model parameter µ for water spinach, mustard, and spinach under mist irrigation were -0.107, -0.144, and -0.141, respectively. Graphically, the logistic model performed better for spinach then that of other vegetables. However, the results of calibration with t-test indicated that the logistic model was accepted for all crops and all types of irrigation shown by the predicted root growth were not significantly different from the observation root growth.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Murtiningrum Murtiningrum AU - Ilham Nawan Rasyid AU - Lia Christyaningrum AU - Erlina Fahrunisa AU - Ngadisih Ngadisih PY - 2022 DA - 2022/03/10 TI - Application of Logistic Model to Root Growth of Vegetables under Drip and Mist Irrigation BT - Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021) PB - Atlantis Press SP - 207 EP - 211 SN - 2468-5747 UR - https://doi.org/10.2991/absr.k.220305.031 DO - 10.2991/absr.k.220305.031 ID - Murtiningrum2022 ER -