Prediction of Greenhouse Indoor Air Temperature Using Artificial Intelligence (AI) Combined with Sensitivity Analysis

نویسندگان

چکیده

Greenhouses are essential for agricultural production in unfavorable climates. Accurate temperature predictions critical controlling Heating, Ventilation, Air-Conditioning, and Dehumidification (HVACD) lighting systems to optimize plant growth reduce financial losses. In this study, several machine models were employed predict indoor air an even-span Mediterranean greenhouse. Radial Basis Function (RBF), Support Vector Machine (SVM), Gaussian Process Regression (GPR) applied using external parameters such as outside air, relative humidity, wind speed, solar radiation. The results showed that RBF model with the LM learning algorithm outperformed SVM GPR models. had high accuracy reliability RMSE of 0.82 °C, MAPE 1.21%, TSSE 474.07 EF 1.00. prediction can help farmers manage their crops resources efficiently energy inefficiencies lower yields. integration into greenhouse control lead significant savings cost reductions.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Forecasting and Sensitivity Analysis of Monthly Evaporation from Siah Bisheh Dam Reservoir using Artificial neural Networks combined with Genetic Algorithm

Evaporation process, the main component of the water cycle in nature, is essential in agricultural studies, hydrology and meteorology, the operation of reservoirs, irrigation and drainage systems, irrigation scheduling and management of water resources. Various methods have been presented for estimating evaporation from free surface including water budget method, evaporation from pan and experi...

متن کامل

Regression Analysis and Indoor Air Temperature Model of Greenhouse in Northern Dry and Cold Regions

The indoor air temperature of greenhouse is an important parameter in environmental monitoring. Existing research on it has many, and the mathematical models have been made. But the obtained models do not apply to the northern areas features of dry and cold. On the basis of previous studies, the indoor air temperature model of greenhouse will be re-modeling by using the regression analysis meth...

متن کامل

Improving Air Temperature Prediction with Artificial Neural Networks

The mitigation of crop loss due to damaging freezes requires accurate air temperature prediction models. Previous work established that the Ward-style artificial neural network (ANN) is a suitable tool for developing such models. The current research focused on developing ANN models with reduced average prediction error by increasing the number of distinct observations used in training, adding ...

متن کامل

Expressive AI: Games and Artificial Intelligence

In recent years, as dramatic increases in graphic sophistication began yielding diminishing returns, the technical focus in game design has been turning towards Artificial Intelligence (AI). While game AI might be considered a “purely technical” phenomenon not of interest to game designers and theorists, this paper argues that AI-based art and entertainment constitutes a new interdisciplinary a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Horticulturae

سال: 2023

ISSN: ['2311-7524']

DOI: https://doi.org/10.3390/horticulturae9080853