Research Article
Abd-Elaty, I., Kuriqi, A., & Shahawy, A. E. (2022). Environmental rethinking of wastewater drains to manage environmental pollution and alleviate water scarcity. Natural Hazards, 110(3), 2353-2380.
10.1007/s11069-021-05040-w34602747PMC8476068Aisyah, P.Y., Zarkasih, I., & Kurnia, M. (2025). Smart and sustainable hydroponics: Fuzzy logic-based environmental control for optimized indoor crop growth. Green Technologies and Sustainability, 4(2), 100311.
10.1016/j.grets.2025.100311Argento, S., Garcia, G., & Treccarichi, S. (2024). Sustainable and low-input techniques in Mediterranean greenhouse vegetable production. Horticulturae, 10(9), 997.
10.3390/horticulturae10090997Ariesen-Verschuur, N., Verdouw, C., & Tekinerdogan, B. (2022). Digital Twins in greenhouse horticulture: A review. Computers and Electronics in Agriculture, 199, 107183.
10.1016/j.compag.2022.107183Ashrafi, M. R., Raj, M., Shamim, S., Lal, K., & Kumar, G. (2020). Effect of fertigation on crop productivity and nutrient use efficiency. Journal of Pharmacognosy and Phytochemistry, 9(5), 2937-2942.
Balliu, A., Zheng, Y., Sallaku, G., Fernández, J. A., Gruda, N. S., & Tuzel, Y. (2021). Environmental and cultivation factors affect the morphology, architecture and performance of root systems in soilless grown plants. Horticulturae, 7(8), 243.
10.3390/horticulturae7080243Bersani, C., Ruggiero, C., Sacile, R., Soussi, A., & Zero, E. (2022). Internet of things approaches for monitoring and control of smart greenhouses in industry 4.0. Energies, 15(10), 3834.
10.3390/en15103834Bhujel, A., Basak, J. K., Khan, F., Arulmozhi, E., Jaihuni, M., Sihalath, T., Lee, D., Park, J., & Kim, H. T. (2021). Sensor systems for greenhouse microclimate monitoring and control: A review. Journal of Biosystems Engineering, 45(4), 341-361.
10.1007/s42853-020-00075-6Bicamumakuba, E., Reza, M. N., Jin, H., Samsuzzaman, Lee, K. H., & Chung, S. O. (2025). Multi-Sensor Monitoring, Intelligent Control, and Data Processing for Smart Greenhouse Environment Management. Sensors, 25(19), 6134.
10.3390/s2519613441094957PMC12526782Bunpalwong, M., Rukhiran, M., & Netinant, P. (2023). Improving marigold agriculture with an IoT-driven greenhouse irrigation management control system. Bulletin of Electrical Engineering and Informatics, 12(6), 3817-3825.
10.11591/eei.v12i6.6300Catota-Ocapana, P., Minaya-Andino, C., Astudillo, P., & Pichoasamin, D. (2025). Smart control models used for nutrient management in hydroponic crops: A systematic review. IEEE Access, 13, 13070-13087.
10.1109/ACCESS.2025.3526171Chen, C. H., Jeng, S. Y., & Lin, C. J. (2022). Fuzzy logic controller for automating electrical conductivity and pH in hydroponic cultivation. Applied Sciences, 12(1), 405.
10.3390/app12010405Costa, M. R., Montero, J. I., Zhang, Y., Yang, Q., Ke, X., Tanny, J., Alsanius, B. W., Khalil, S., Tadesse, A., Rosberg, A. K., & Bergstrand, K. J. (2019). Achieving sustainable greenhouse cultivation.
De Bang, T. C., Husted, S., Laursen, K. H., Persson, D. P., & Schjoerring, J. K. (2021). The molecular-physiological functions of mineral macronutrients and their consequences for deficiency symptoms in plants. New Phytologist, 229(5), 2446-2469.
10.1111/nph.17074Dyśko, J., Szczech, M., Kaniszewski, S., & Kowalczyk, W. (2020). Parameters of drainage waters collected during soilless tomato cultivation in mineral and organic substrates. Agronomy, 10(12), 2009.
10.3390/agronomy10122009Eshkabilov, S., & Simko, I. (2024). Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models. Agriculture, 14(6), 834.
10.3390/agriculture14060834Farvardin, M., Taki, M., Gorjian, S., Shabani, E., & Sosa-Savedra, J. C. (2024). Assessing the physical and environmental aspects of greenhouse cultivation: A comprehensive review of conventional and hydroponic methods. Sustainability, 16(3), 1273.
10.3390/su16031273Fathidarehnijeh, E., Nadeem, M., Cheema, M., Thomas, R., Krishnapillai, M., & Galagedara, L. (2023). Current perspective on nutrient solution management strategies to improve the nutrient and water use efficiency in hydroponic systems. Canadian Journal of Plant Science, 104(2), 88-102.
10.1139/cjps-2023-0034Fuentes-Peñailillo, F., Gutter, K., Vega, R., & Silva, G. C. (2024). New generation sustainable technologies for soilless vegetable production. Horticulturae 10(1), 49.
10.3390/horticulturae10010049Getahun, S., Kefale, H., & Gelaye, Y. (2024). Application of precision agriculture technologies for sustainable crop production and environmental sustainability: A systematic review. The Scientific World Journal, 2024(1), 2126734.
10.1155/2024/212673439421732PMC11483651Gholizadeh, A., Saberioon, M., Borůvka, L., Wayayok, A., Soom, M. A. M. (2017). Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management. Information Processing in Agriculture, 4(4), 259-268.
10.1016/j.inpa.2017.08.002Gillani, S. A., Abbasi, R., Martinez, P., & Ahmad, R. (2023). Comparison of energy-use efficiency for lettuce plantation under nutrient film technique and deep-water culture hydroponic systems. Procedia Computer Science, 217, 11-19.
10.1016/j.procs.2022.12.197Gruda, N. S., Samuolienė, G., Dong, J., & Li, X. (2025). Environmental conditions and nutritional quality of vegetables in protected cultivation. Comprehensive Reviews in Food Science and Food Safety, 24(2), e70139.
10.1111/1541-4337.7013939970014PMC11838150Han, Y. (2024). Application of Unmanned Aerial Vehicle Remote Sensing for Agricultural Monitoring. In E3S Web of Conferences, 553, 02022. EDP Sciences.
10.1051/e3sconf/202455302022Hatfield, J. L., & Dold, C. (2019). Water-use efficiency: advances and challenges in a changing climate. Frontiers in plant science, 10, 103.
10.3389/fpls.2019.0010330838006PMC6390371Hosny, K. M., El-Hady, W. M., & Samy, F. M. (2025). Technologies, Protocols, and applications of Internet of Things in greenhouse Farming: A survey of recent advances. Information Processing in Agriculture, 12(1), 91-111.
10.1016/j.inpa.2024.04.002Islam, M. M., Kashem, M. A., & Uddin, J. (2022). An internet of things framework for real-time aquatic environment monitoring using an Arduino and sensors. International Journal of Electrical and Computer Engineering, 12(1), 826.
10.11591/ijece.v12i1.pp826-833Islam, M. N., Reza, M. N., Iqbal, M. Z., Lee, K. H., Jang, M. K., & Chung, S. O. (2025). Spatial and Temporal Variability of Environmental Variables in Chinese Solar Greenhouses in the Summer Season. Horticulturae, 11(4), 421.
10.3390/horticulturae11040421Islam, S., Reza, M. N., Ahmed, S., Samsuzzaman, Lee, K. H., Cho, Y. J., Noh, D. H., & Chung, S. O. (2024a). Nutrient stress symptom detection in cucumber seedlings using segmented regression and a mask region-based convolutional neural network model. Agriculture, 14(8), 1390.
10.3390/agriculture14081390Islam, S., Reza, M. N., Samsuzzaman, S. A., Cho, Y. J., Noh, D. H., Chung, S. O., & Hong, S. J. (2024b). Machine vision and artificial intelligence for plant growth stress detection and monitoring: A review. Precision Agriculture Science and Technology, 6(1), 34.
10.12972/pastj.20240003Islam, S., Samsuzzaman, Reza, M. N., Lee, K. H., Ahmed, S., Cho, Y. J., Noh, D. H., & Chung, S. O. (2024c). Image processing and support vector machine (SVM) for classifying environmental stress symptoms of pepper seedlings grown in a plant factory. Agronomy, 14(9), 2043.
10.3390/agronomy14092043Jayara, A. S., Kumar, R., Pandey, P., Singh, S., Shukla, A., Singh, A. P., Pandey, S., Meena, R. L. & Reddy, K. I. (2023). Boosting nutrient use efficiency through fertilizer use management. Applied Ecology & Environmental Research, 21(4).
10.15666/aeer/2104_29312952Jayasuriya, N., Guo, Y., Hu, W., & Ghannoum, O. (2024). Image based crop monitoring technologies in protected horticulture: A review. arXiv:2401.13928.
Kabir, M. S., Reza, M. N., Chowdhury, M., Ali, M., Samsuzzaman, Ali, M. R., Lee, K. Y., & Chung, S. O. (2023). Technological trends and engineering issues on vertical farms: a review. Horticulturae, 9(11), 1229.
10.3390/horticulturae9111229Kaya, C. (2025). Intelligent Environmental Control in Plant Factories: Integrating Sensors, Automation, and AI for Optimal Crop Production. Food and Energy Security, 14(1), e70026.
10.1002/fes3.70026Kim, T. H., Lee, K. Y., Ali, M. R., Reza, M. N., Chung, S. O., & Kang, N. R. (2023). PID control for greenhouse climate regulation: A review. Precision Agriculture Science and Technology, 5(2), 94.
10.12972/pastj.20230008Kitazumi, Y. (2022). Recent development of ion-selective electrodes. Analytical Sciences, 38(8), 1007-1008.
10.1007/s44211-022-00145-zKumar, S., Tiwari, A., Ahirwar, Y., Kumar, G., & Arafat, M. Y. (2025). The Rise of UAV-Based Smart Surveillance: A Systematic Review of Trends and Technologies. IEEE Access, 13, 181553-181575.
10.1109/ACCESS.2025.3621736Langenfeld, N. J., Pinto, D. F., Faust, J. E., Heins, R., & Bugbee, B. (2022). Principles of nutrient and water management for indoor agriculture. Sustainability, 14(16), 10204.
10.3390/su141610204Lee, T. Y., Reza, M. N., Chung, S. O., Kim, D. U., Lee, S. Y., & Choi, D. H. (2023). Application of fuzzy logics for smart agriculture: A review. Precision agriculture Science and Technology, 5(1), 1-14.
10.12972/pastj.20230001Li, Y., Li, J., Gao, L., & Tian, Y. (2018). Irrigation has more influence than fertilization on leaching water quality and the potential environmental risk in excessively fertilized vegetable soils. PloS ONE 13(9): e0204570.
10.1371/journal.pone.020457030261079PMC6160137Mansoor, S., Iqbal, S., Popescu, S. M., Kim, S. L., Chung, Y. S., & Baek, J. H. (2025). Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives. Frontiers in Plant Science, 16, 1587869.
10.3389/fpls.2025.158786940438737PMC12116683Maraveas, C., & Bartzanas, T. (2021). Application of Internet of Things (IoT) for optimized greenhouse environments. AgriEngineering, 3(4), 954-970.
10.3390/agriengineering3040060Masson, J. F. (2024). Roadmap for the use of machine learning and artificial intelligence in sensing. ACS sensors, 9(8), 3805-3807.
10.1021/acssensors.4c02069Minhas, P. S., Ramos, T. B., Ben-Gal, A., & Pereira, L. S. (2020). Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues. Agricultural Water Management, 227, 105832.
10.1016/j.agwat.2019.105832Mishra, S., Spaccarotella, K., Gido, J., Samanta, I., & Chowdhary, G. (2023). Effects of heat stress on plant-nutrient relations: An update on nutrient uptake, transport, and assimilation. International Journal of Molecular Sciences, 24(21), 15670.
10.3390/ijms24211567037958654PMC10649217Nasution, I. S., Satriyo, P., Dhafir, M., Iswanda, A., Rani, S., Fitria, S. R., & Munawar, A. A. (2023). Embedded fuzzy logic for controlling pH and nutrition in hydroponic cultivation. In IOP Conference Series: Earth and Environmental Science, 1(1), 012113. IOP Publishing.
10.1088/1755-1315/1183/1/012113Orellana, E., Gonzalez, T., Álvarez, A., Fernández-Campusano, C., Muñoz, M., & Carrasco, R. (2025). Precision Farming: Exploring the Challenges and Opportunities for Smallholder Farmers in Chile. Agriculture. 15(24), 2555.
10.3390/agriculture15242555Page, G. F., Lienard, J. F., Pruett, M. J., & Moffett, K. B. (2018). Spatiotemporal dynamics of leaf transpiration quantified with time-series thermal imaging. Agricultural and Forest Meteorology, 256, 304-314.
10.1016/j.agrformet.2018.02.023Puno, J. C., Haban, J. J., Alejandrino, J. D., Bandala, A. A., & Dadios, E. P. (2020). Design of a nutrient film technique hydroponics system with fuzzy logic control. In Proceedings of the 2020 IEEE Region 10 Conference (TENCON), 16-19 November, Osaka, Japan.
10.1109/TENCON50793.2020.9293749Rahman, H., Shah, U. M., Riaz, S. M., Kifayat, K., Moqurrab, S. A., & Yoo, J. (2024). Digital twin framework for smart greenhouse management using next-gen mobile networks and machine learning. Future Generation Computer Systems, 156, 285-300.
10.1016/j.future.2024.03.023Reza, M. N., Lee, K. H., Karim, M. R., Haque, M. A., Bicamumakuba, E., Dey, P. K., Jang, Y. Y., & Chung, S. O. (2025). Trends of soil and solution nutrient sensing for open field and hydroponic cultivation in facilitated smart agriculture. Sensors, 25(2), 453.
10.3390/s2502045339860823PMC11768686Roma, E., Catania, P., Vallone, M., & Orlando, S. (2023). Unmanned aerial vehicle and proximal sensing of vegetation indices in olive tree (Olea europaea). Journal of Agricultural Engineering, 54(3).
10.4081/jae.2023.1536Sardans, J., Lambers, H., Preece, C., Alrefaei, A. F., & Penuelas, J. (2023). Role of mycorrhizas and root exudates in plant uptake of soil nutrients (calcium, iron, magnesium, and potassium): has the puzzle been completely solved? The Plant Journal, 114(6), 1227-1242.
10.1111/tpj.16184Sarwar, M., Saleem, M. F., Ullah, N., Ali, S., Rizwan, M., Shahid, M. R., Alyemeni, M. N., Alamri, S. A., & Ahmad, P. (2019). Role of mineral nutrition in alleviation of heat stress in cotton plants grown in glasshouse and field conditions. Scientific reports, 9(1), 13022.
10.1038/s41598-019-49404-631506449PMC6737086Savvas, D., Giannothanasis, E., Ntanasi, T., Karavidas, I., & Ntatsi, G. (2023). State of the art and new technologies to recycle the fertigation effluents in closed soilless cropping systems aiming to maximise water and nutrient use efficiency in greenhouse crops. Agronomy, 14(1), 61.
10.3390/agronomy14010061Sewelam, N., El-Shetehy, M., Mauch, F., & Maurino, V. G. (2021). Combined abiotic stresses repress defense and cell wall metabolic genes and render plants more susceptible to pathogen infection. Plants, 10(9), 1946.
10.3390/plants1009194634579478PMC8473397Silva, F. M., Queirós, C., Pereira, M., Pinho, T., Barroso, T., Magalhães, S., Boaventura, J., Santos, F., Cunha, M., & Martins, R. C. (2024). Precision Fertilization: A critical review analysis on sensing technologies for nitrogen, phosphorous and potassium quantification. Computers and Electronics in Agriculture, 224, 109220.
10.1016/j.compag.2024.109220Singh, M. C., Sharma, K. K., & Prasad, V. (2022). Impact of ventilation rate and its associated characteristics on greenhouse microclimate and energy use. Arabian Journal of Geosciences, 15(3), 288.
10.1007/s12517-022-09587-1Soussi, M., Chaibi, M. T., Buchholz, M., & Saghrouni, Z. (2022). Comprehensive Review on Climate Control and Cooling Systems in Greenhouses under Hot and Arid Conditions. Agronomy, 12(3), 626.
10.3390/agronomy12030626Sun, W., & Shahrajabian, M. H. (2023). The application of arbuscular mycorrhizal fungi as microbial biostimulant, sustainable approaches in modern agriculture. Plants, 12(17), 3101.
10.3390/plants1217310137687348PMC10490045Thomas, S. L., Bindhu, J. S., Pillai, S. P., Beena, R., Biju, J., & Sarada, S. (2024). Nutrient Dynamics and Moisture Distribution under Drip Irrigation System. Journal of Experimental Agriculture International, 46(10), 485-493.
10.9734/jeai/2024/v46i102972Visconti, P., Giannoccaro, N. I., de Fazio, R., Strazzella, S., & Cafagna, D. (2020). IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app. Bulletin of Electrical Engineering and Informatics, 9(3), 1095-1105.
10.11591/eei.v9i3.2177Von Bueren, S. K., Burkart, A., Hueni, A., Rascher, U., Tuohy, M. P., & Yule, I. J. (2015). Deploying four optical UAV-based sensors over grassland: challenges and limitations. Biogeosciences, 12(1), 163-175.
10.5194/bg-12-163-2015Widayat, I. W., Arsyad, A. A., Mantau, A. J., Adhitya, Y., & Köppen, M. (2024). Fuzzy Methods in Smart Farming: A Systematic Review. Informatica, 36(2), 453-489.
10.15388/24-INFOR579Xiong, D., Chen, J., Yu, T., Gao, W., Ling, X., Li, Y., Peng, S., & Huang, J. (2015). SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics. Scientific reports, 5(1), 13389.
10.1038/srep1338926303807PMC4548214Yadav, M. K., & Kumar, S. (2024). Cultivation of tomato, capsicum and cucumber under protected cultivation: Extensive analysis, 40(2), 996-998.
Yang, X., Chen, J., Lu, X., Liu, H., Liu, Y., Bai, X., Qian, L., & Zhang, Z. (2025). Advances in UAV Remote Sensing for Monitoring Crop Water and Nutrient Status: Modeling Methods, Influencing Factors, and Challenges. Plants, 14(16), 2544.
10.3390/plants1416254440872167PMC12389011Yusuf, A. G., Al-Yahya, F. A., Saleh, A. A., & Abdel-Ghany, A. M. (2025). Optimizing greenhouse microclimate for plant pathology: challenges and cooling solutions for pathogen control in arid regions. Frontiers in Plant Science, 16, 1492760.
10.3389/fpls.2025.149276039980477PMC11839725- Publisher :The Korean Society for Agricultural Machinery
- Publisher(Ko) :한국농업기계학회
- Journal Title :Journal of Agricultural Machinery Engineering
- Journal Title(Ko) :농업기계공학
- Volume : 6
- No :1
- Pages :21-45
- Received Date : 2026-01-22
- Revised Date : 2026-02-23
- Accepted Date : 2026-02-27
- DOI :https://doi.org/10.12972/jame.2026.6.1.3


Journal of Agricultural Machinery Engineering







