Advance on From Protected Cultivation Smart Greenhouse
DOI:
https://doi.org/10.54097/44mn0z60Keywords:
Protected cultivation, Smart greenhouse, Phenotyping, Night growth.Abstract
This paper explores global developments in protected cultivation. Including smart greenhouse technologies, phenotyping technologies, and nocturnal growth insights. It surveys traditional practices and modern innovations, highlighting their development and impact. The study sheds light on protected cultivation’s journey, technological integration, and nocturnal influences, offering a holistic perspective on controlled environment agriculture.
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Wittwer, Sylvan H., and Nicolas Castilla. “Protected Cultivation of Horticultural Crops Worldwide.” HortTechnology 5, no. 1 (1995): 6 – 23. https: //doi.org/10.21273/horttech. 5. 1. 6.
Sabir, Naved, and Balraj Singh. “(Open Access) Protected Cultivation of Vegetables in Global Arena: A Review (2013).” SciSpace - Paper, January 1, 2013. https: //typeset.io/papers/protected-cultivation-of-vegetables-in-global-arena-a-review - 46svq2gbp0.
Food production must double by 2050 to meet demand from world’s growing population, innovative strategies needed to combat hunger, experts tell Second Committee | UN press (2009) United Nations. Available at: https://press.un.org/en/2009/gaef3242.doc.htm (Accessed: 24 August 2023).
Montero, J.I., C. Stanghellini, and N. Castilla. “Greenhouse Technology for Sustainable Production in Mild Winter Climate Areas: Trends and Needs.” Acta Horticulturae, no. 807 (2009): 33 – 44. https: //doi.org/10.17660/actahortic.2009. 807. 1.
Escamilla-García, Axel, Genaro M. Soto-Zarazúa, Manuel Toledano-Ayala, Edgar Rivas-Araiza, and Abraham Gastélum-Barrios. “Applications of Artificial Neural Networks in Greenhouse Technology and Overview for Smart Agriculture Development.” Applied Sciences 10, no. 11 (2020): 3835. https://doi.org/10.3390/app10113835.
Fitz-Rodríguez, Efrén, Chieri Kubota, Gene A. Giacomelli, Milton E. Tignor, Sandra B. Wilson, and Margaret McMahon. “Dynamic Modeling and Simulation of Greenhouse Environments under Several Scenarios: A Web-Based Application.” Computers and Electronics in Agriculture 70, no. 1 (2010): 105 – 16. https: //doi.org/10.1016/j.compag.2009.09.010.
Karanisa, Theodora, Yasmine Achour, Ahmed Ouammi, and Sami Sayadi. “Smart Greenhouses as the Path towards Precision Agriculture in the Food-Energy and Water Nexus: Case Study of Qatar.” Environment Systems and Decisions 42, no. 4 (2022): 521 – 46. https: //doi.org/10.1007/s10669 - 022 - 09862 - 2.
Chen, F, L Qin, X Li, G Wu, and C Shi. Design and implementation of zigbee wireless sensor and Control Network ..., 2017. https://ieeexplore.ieee.org/document/8028786.
Mahbub, Mobasshir. “A Smart Farming Concept Based on Smart Embedded Electronics, Internet of Things and Wireless Sensor Network.” Internet of Things 9 (2020): 100161. https: //doi.org/10.1016/j.iot.2020.100161.
Bennis, N, J Duplaix, G Enea, M Haloua, and H Youlal. “Greenhouse Climate Modelling and Robust Control.” Computers and Electronics in Agriculture, February 15, 2008. https: //www.sciencedirect.com/science/article/abs/pii/S0168169907002037.
Atia, Doaa M., and Hanaa T. El-madany. “Analysis and Design of Greenhouse Temperature Control Using Adaptive Neuro-Fuzzy Inference System.” Journal of Electrical Systems and Information Technology 4, no. 1 (2017): 34 – 48. https://doi.org/10.1016/j.jesit.2016.10.014.
Cunha, J. Boaventura, Carlos Couto, and A.E.B. Ruano. “Real-Time Parameter Estimation of Dynamic Temperature Models for Greenhouse Environmental Control.” IFAC Proceedings Volumes 30, no. 3 (1997): 131 – 36. https: //doi.org/10.1016/s1474 - 6670 (17) 44479 - x.
Piñón, S.M., E.F. Camacho, and B. Kuchen. “Constrained Predictive Control of a Greenhouse.” IFAC Proceedings Volumes 35, no. 1 (2002): 55 – 60. https://doi.org/10.3182/20020721-6-es-1901.01318.
Morales-Garcia, Juan, André s Bueno-Crespo, Raquel Martinez-Espana, Juan-Luis Posadas, Pietro Manzoni, and José M. Cecilia. “Evaluation of Low-Power Devices for Smart Greenhouse Development - The Journal of Supercomputing.” SpringerLink, February 5, 2023. https: //link.springer.com/article/10.1007/s11227 – 023 - 05076 - 8.
Son, Jung Eek, Hak Jin Kim, and Tae in Ahn. “Hydroponic Systems.” Plant Factory, 2020, 273 – 83. https: //doi.org/10.1016/b978 - 0 - 12 - 816691 - 8.00020 - 0.
Walters, Kellie J., and Christopher J. Currey. “Hydroponic Greenhouse Basil Production: Comparing Systems and Cultivars.” HortTechnology 25, no. 5 (2015): 645 – 50. https://doi.org/10.21273/horttech.25.5.645.
Treftz, C, and ST Omaye. “COMPARISION between Hydroponic and Soil Systems for Growing ...” COmparision between hydroponic and soil systems for growing strawberries in a greenhouse, 2016. https: //naes.agnt.unr.edu/PMS/Pubs/309_2017_03.pdf.
Barbosa, Guilherme, Francisca Gadelha, Natalya Kublik, Alan Proctor, Lucas Reichelm, Emily Weissinger, Gregory Wohlleb, and Rolf Halden. “Comparison of Land, Water, and Energy Requirements of Lettuce Grown Using Hydroponic vs. Conventional Agricultural Methods.” International Journal of Environmental Research and Public Health 12, no. 6 (2015): 6879 – 91. https: //doi.org/10.3390/ijerph120606879.
Saraswathi, D., P. Manibharathy, R. Gokulnath, E. Sureshkumar, and K. Karthikeyan. “Automation of Hydroponics Green House Farming Using IOT.” 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA), 2018. https: //doi.org/10.1109/icscan.2018.8541251.
Atefi, Abbas, Yufeng Ge, Santosh Pitla, and James Schnable. “In Vivo Human-like Robotic Phenotyping of Leaf Traits in Maize and Sorghum in Greenhouse.” Computers and Electronics in Agriculture 163 (2019): 104854. https: //doi.org/10.1016/j.compag.2019.104854.
Shakoor, Nadia, Scott Lee, and Todd C Mockler. “High Throughput Phenotyping to Accelerate Crop Breeding and Monitoring of Diseases in the Field.” Current Opinion in Plant Biology 38 (2017): 184 – 92. https: //doi.org/10.1016/j.pbi.2017.05.006.
Agnew, Erica, Adam Bray, Eric Floro, Nate Ellis, John Gierer, César Lizárraga, Darren O’Brien, et al. “Whole‐Plant Manual and Image‐based Phenotyping in Controlled Environments.” Current Protocols in Plant Biology 2, no. 1 (2017): 1 – 21. https: //doi.org/10.1002/cppb.20044.
Al-Tamimi, Nadia, Chris Brien, Helena Oakey, Bettina Berger, Stephanie Saade, Yung Shwen Ho, Sandra M. Schmöckel, Mark Tester, and Sónia Negrão. “Salinity Tolerance Loci Revealed in Rice Using High-Throughput Non-Invasive Phenotyping.” Nature Communications 7, no. 1 (2016). https: //doi.org/10.1038/ncomms13342.
Nguyen, Giao N., Pankaj Maharjan, Lance Maphosa, Jignesh Vakani, Emily Thoday-Kennedy, and Surya Kant. “A Robust Automated Image-Based Phenotyping Method for Rapid Vegetative Screening of Wheat Germplasm for Nitrogen Use Efficiency.” Frontiers in Plant Science 10 (2019). https: //doi.org/10.3389/fpls.2019.01372.
Atieno, Judith, Yongle Li, Peter Langridge, Kate Dowling, Chris Brien, Bettina Berger, Rajeev K. Varshney, and Tim Sutton. “Exploring Genetic Variation for Salinity Tolerance in Chickpea Using Image-Based Phenotyping.” Scientific Reports 7, no. 1 (2017). https: //doi.org/10.1038/s41598 – 017 - 01211 - 7.
Du, Jianjun, Jiangchuan Fan, Chuanyu Wang, Xianju Lu, Ying Zhang, Weiliang Wen, Shengjin Liao, Xiaozeng Yang, Xinyu Guo, and Chunjiang Zhao. “Greenhouse-Based Vegetable High-Throughput Phenotyping Platform and Trait Evaluation for Large-Scale Lettuces.” Computers and Electronics in Agriculture 186 (2021): 106193. https: //doi.org/10.1016/j.compag.2021.106193.
Jiang, Yu, Changying Li, Jon S. Robertson, Shangpeng Sun, Rui Xu, and Andrew H. Paterson. “GPhenoVision: A Ground Mobile System with Multi-Modal Imaging for Field-Based High Throughput Phenotyping of Cotton.” Scientific Reports 8, no. 1 (2018). https: //doi.org/10.1038/s41598 - 018 - 19142 - 2.
De Diego, Nuria, Tomáš Fürst, Jan F. Humplík, Lydia Ugena, Kateřina Podlešáková, and Lukáš Spíchal. “An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions.” Frontiers in Plant Science 8 (2017). https: //doi.org/10.3389/fpls.2017.01702.
Went, F W. “The Effect of Temperature on Plant Growth.” Annual Review of Plant Physiology 4, no. 1 (1953): 347 – 62. https: //doi.org/10.1146/annurev.pp.04.060153.002023.
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