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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 44 citing articles:

Time-serial analysis of deep neural network models for prediction of climatic conditions inside a greenhouse
Dae-Hyun Jung, Hyoung Seok Kim, Changho Jhin, et al.
Computers and Electronics in Agriculture (2020) Vol. 173, pp. 105402-105402
Closed Access | Times Cited: 134
Applications of Artificial Neural Networks in Greenhouse Technology and Overview for Smart Agriculture Development
Axel Escamilla-García, Genaro M. Soto-Zarazúa, Manuel Toledano‐Ayala, et al.
Applied Sciences (2020) Vol. 10, Iss. 11, pp. 3835-3835
Open Access | Times Cited: 133
Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture
Yasmine Achour, Ahmed Ouammi, Driss Zejli
Renewable and Sustainable Energy Reviews (2021) Vol. 147, pp. 111251-111251
Closed Access | Times Cited: 83
Smart greenhouses as the path towards precision agriculture in the food-energy and water nexus: case study of Qatar
Theodora Karanisa, Yasmine Achour, Ahmed Ouammi, et al.
Environment Systems & Decisions (2022) Vol. 42, Iss. 4, pp. 521-546
Open Access | Times Cited: 61
Effects of Light Intensity and Temperature on the Photosynthesis Characteristics and Yield of Lettuce
Jing Zhou, Pingping Li, Jizhang Wang
Horticulturae (2022) Vol. 8, Iss. 2, pp. 178-178
Open Access | Times Cited: 53
Technological Trends and Engineering Issues on Vertical Farms: A Review
Md Shaha Nur Kabir, Md Nasim Reza, Milon Chowdhury, et al.
Horticulturae (2023) Vol. 9, Iss. 11, pp. 1229-1229
Open Access | Times Cited: 36
Identification of optimal irrigation and fertilizer rates to balance yield, water and fertilizer productivity, and fruit quality in greenhouse tomatoes using TOPSIS
Xuemei Yu, Junwei Zhang, Yuhui Zhang, et al.
Scientia Horticulturae (2023) Vol. 311, pp. 111829-111829
Closed Access | Times Cited: 34
Optimal irrigation and fertilizer amounts based on multi-level fuzzy comprehensive evaluation of yield, growth and fruit quality on cherry tomato
Zhihao He, Manning Li, Zelin Cai, et al.
Agricultural Water Management (2020) Vol. 243, pp. 106360-106360
Closed Access | Times Cited: 47
Multivariate assimilation of satellite-based leaf area index and ground-based river streamflow for hydrological modelling of irrigated watersheds using SWAT+
Omid Mohammadi Igder, Hosein Alizadeh, Barat Mojaradi, et al.
Journal of Hydrology (2022) Vol. 610, pp. 128012-128012
Closed Access | Times Cited: 23
Understanding complex process sensor signal may be the source for deep Learning: A smart IoT delving into a tomato weight sensor
Xiaotong Wang, Junlei Shi, Shaokun Sun, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110012-110012
Closed Access
Prediction of plant transpiration from environmental parameters and relative leaf area index using the random forest regression algorithm
Li Li, Shiwang Chen, Chengfei Yang, et al.
Journal of Cleaner Production (2020) Vol. 261, pp. 121136-121136
Closed Access | Times Cited: 38
Prediction of cooling efficiency of forced-air precooling systems based on optimized differential evolution and improved BP neural network
Jiawei Han, Qingxue Li, Huarui Wu, et al.
Applied Soft Computing (2019) Vol. 84, pp. 105733-105733
Open Access | Times Cited: 34
Estimation of actual crop evapotranspiration using artificial neural networks in tomato grown in closed soilless culture system
U. Tunalı, I.H. Tüzel, Y. Tüzel, et al.
Agricultural Water Management (2023) Vol. 284, pp. 108331-108331
Open Access | Times Cited: 9
Forecasting Root-Zone Electrical Conductivity of Nutrient Solutions in Closed-Loop Soilless Cultures via a Recurrent Neural Network Using Environmental and Cultivation Information
Taewon Moon, Tae In Ahn, Jung Eek Son
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 30
Improving the Performance of Vegetable Leaf Wetness Duration Models in Greenhouses Using Decision Tree Learning
Hui Wang, J.A. Sánchez-Molina, Ming Li, et al.
Water (2019) Vol. 11, Iss. 1, pp. 158-158
Open Access | Times Cited: 28
Estimating transpiration rates of hydroponically-grown paprika via an artificial neural network using aerial and root-zone environments and growth factors in greenhouses
Du Sung Nam, Taewon Moon, Joon Woo Lee, et al.
Horticulture Environment and Biotechnology (2019) Vol. 60, Iss. 6, pp. 913-923
Closed Access | Times Cited: 27
Development of a transpiration model for precise tomato (Solanum lycopersicum L.) irrigation control under various environmental conditions in greenhouse
Won Jun Jo, Jong Hwa Shin
Plant Physiology and Biochemistry (2021) Vol. 162, pp. 388-394
Closed Access | Times Cited: 18
Non-destructive Leaf Area Index estimation via guided optical imaging for large scale greenhouse environments
Stefan Baar, Yosuke Kobayashi, Tatsuro Horie, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106911-106911
Open Access | Times Cited: 12
Combining functional physiological phenotyping and simulation model to estimate dynamic water use efficiency and infer transpiration sensitivity traits
Ting Sun, Rui Cheng, Rujia Jiang, et al.
European Journal of Agronomy (2023) Vol. 150, pp. 126955-126955
Closed Access | Times Cited: 6
Estimating the leaf area index of bell peppers according to growth stage using ray-tracing simulation and a long short-term memory algorithm
Joon Woo Lee, Woo Hyun Kang, Taewon Moon, et al.
Horticulture Environment and Biotechnology (2020) Vol. 61, Iss. 2, pp. 255-265
Closed Access | Times Cited: 16
Greenhouses within the Agricultura 4.0 interface
Edílson Costa, Murilo Battistuzzi Martins, Eduardo Pradi Vendruscolo, et al.
Ciência Agronômica/Revista ciência agronômica (2020) Vol. 51, Iss. 5
Open Access | Times Cited: 16
Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis
Sungyul Chang, Unseok Lee, Min Jeong Hong, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 14
Optimal temperature and humidity control for autonomous control system based on PSO‐BP neural networks
Weibin Wu, Beihuo Yao, Jiaxi Huang, et al.
IET Control Theory and Applications (2023) Vol. 17, Iss. 15, pp. 2097-2109
Open Access | Times Cited: 5
Mathematical Models of Leaf Area Index and Yield for Grapevines Grown in the Turpan Area, Xinjiang, China
Lijun Su, Wanghai Tao, Yan Sun, et al.
Agronomy (2022) Vol. 12, Iss. 5, pp. 988-988
Open Access | Times Cited: 9
Modeling Plant Height and Biomass Production of Cluster Bean and Sesbania across Diverse Irrigation Qualities in Pakistan’s Thar Desert
Azeem Ahmad, Wenxuan Mai, Rajib Ali
Water (2023) Vol. 16, Iss. 1, pp. 9-9
Open Access | Times Cited: 4
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