Crop growth prediction model at vegetative phase to support the precision agriculture application in plant factory

Aulia Rizkiana, Andri Prima Nugroho, Muhammad Abiyyu Irfan, Lilik Sutiarso, Takashi Okayasu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Plant factory is an extensive cultivation that produce vegetable under a controllable environment. The concept of Precision Agriculture has been introduced to enhance the plant factory production by monitoring of crop growth intensively. Crop growth can be estimated using a mathematical model to determine the state of the plant during the growth period. However, the application of a crop growth model in plant factory has several challenges because every plant has a specific model to be observed. The objective of this study was to construct a crop growth prediction model for vegetative development phase. The activity covers the development of mathematical model and model validation using Chili (Capsicum frutescens) as a preliminary experiment. Four samples (S1, S2, S3, S4) of Chili with age of five weeks after planting were used and measured daily for 30 days to get the actual height (cm). Three crop height observation data set (S1, S1, S3), were used to develop a mathematical model and the rest dataset was for model validation and evaluation. Linear and polynomial model were applied to obtain the appropriate prediction. The model was validated and evaluated using the Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). As a result, Determination coefficient (R2) of the Linear model was 0.9667, and the RMSE was 2.16; The Polynomial model shows R2 0.98755, and RMSE RMSE 1.68. The result of the model that is suitable for the Chili crop during the vegetative phase is the polynomial model with error rate of 1,68%.

Original languageEnglish
Title of host publicationInternational Conference on Science and Applied Science, ICSAS 2019
EditorsA. Suparmi, Dewanta Arya Nugraha
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735419537
DOIs
Publication statusPublished - Dec 27 2019
EventInternational Conference on Science and Applied Science 2019, ICSAS 2019 - Surakarta, Indonesia
Duration: Jul 20 2019 → …

Publication series

NameAIP Conference Proceedings
Volume2202
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference on Science and Applied Science 2019, ICSAS 2019
CountryIndonesia
CitySurakarta
Period7/20/19 → …

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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    Rizkiana, A., Nugroho, A. P., Irfan, M. A., Sutiarso, L., & Okayasu, T. (2019). Crop growth prediction model at vegetative phase to support the precision agriculture application in plant factory. In A. Suparmi, & D. A. Nugraha (Eds.), International Conference on Science and Applied Science, ICSAS 2019 [020104] (AIP Conference Proceedings; Vol. 2202). American Institute of Physics Inc.. https://doi.org/10.1063/1.5141717