Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture

Y Achour, A Ouammi, D Zejli - Renewable and Sustainable Energy …, 2021 - Elsevier
Greenhouse technology is an opportune tool for increasing crop yields through the accurate
adjustment of internal climate growth conditions such as temperature, humidity, light …

[PDF][PDF] Selection of superior clones by the multi-dimensional decision making techniques in Scots pine seed orchard

E Imren, R Kurt, C Yucedag, N Bilir, HB Ozel… - Journal of …, 2021 - researchgate.net
Page 1 13 © 2021 Conscientia Beam. All Rights Reserved. SELECTION OF SUPERIOR
CLONES BY THE MULTI-DIMENSIONAL DECISIONMAKING TECHNIQUES IN SCOTS PINE …

Non-destructive estimation of leaf area of durian (Durio zibethinus)–An artificial neural network approach

V Sankar, T Sakthivel, G Karunakaran, PC Tripathi - Scientia horticulturae, 2017 - Elsevier
Non destructive estimation of leaf area is necessary for taking successive observations on
the same leaf. Usually, a common method for developing leaf area estimation models was to …

Relative leaf expansion rate and other leaf-related indicators for detection of drought stress in chili pepper ('Capsicum annuum'L.)

LI Widuri, B Lakitan, M Hasmeda… - Australian journal of …, 2017 - search.informit.org
Leaf is a sensitive plant organ in responding to abiotic stresses, especially drought stress.
Objective of this research was to evaluate changes of relative leaf expansion rate (RLER) …

Image processing and area estimation of chia (Salvia hispanica L.), quinoa (Chenopodium quinoa Willd.), and bitter melon (Momordica charantia L.) leaves based on …

H Sabouri, SJ Sajadi - Journal of Applied Research on Medicinal and …, 2022 - Elsevier
The leaf area (LA) is essential for interception of solar radiation and is determinant factor in
plant photosynthesis and penetration of light in the canopy and the plant growth rate. In this …

Determination of CNC processing parameters for the best wood surface quality via artificial neural network

A Demir, EO Cakiroglu, I Aydin - Wood Material Science & …, 2022 - Taylor & Francis
The optimum adjustment the CNC (Computer Numerical Control) processing parameters is
extremely important, especially in finishing processes such as coating, painting, and …

Leaf area modeling of bell pepper (Capsicum annuum L.) grown under different stress conditions by soft computing approaches

B Cemek, A Ünlükara, A Kurunç… - Computers and Electronics …, 2020 - Elsevier
Some leaf area (LA) estimation models have been developed for different plants under
optimum conditions, but to date, none has been developed to model for those grown under …

Prediction of the hemp yield using artificial intelligence methods

J Frankowski, M Zaborowicz, D Sieracka… - Journal of Natural …, 2022 - Taylor & Francis
The aim of this study was to determine the usefulness of artificial neural networks (ANN) in
the process of forecasting the yield of hemp seeds (Cannabis sativa L.) of the Henola …

Artificial neural network modeling of greenhouse tomato yield and aerial dry matter

K López-Aguilar, A Benavides-Mendoza… - Agriculture, 2020 - mdpi.com
Non-linear systems, such as biological systems, can be simulated by artificial neural network
(ANN) techniques. This research aims to use ANN to simulate the accumulated aerial dry …

Combining recurrent neural network and sigmoid growth models for short-term temperature forecasting and tomato growth prediction in a plastic greenhouse

YS Lin, SL Fang, L Kang, CC Chen, MH Yao, BJ Kuo - Horticulturae, 2024 - mdpi.com
Compared with open-field cultivation, greenhouses can provide favorable conditions for
crops to grow through environmental control. The prediction of greenhouse microclimates is …