Optimizing tomato production with IoT-enabled precision irrigation: A case study of water and fertilizer management
Downloads
Published
DOI:
https://doi.org/10.58993/ijh/2025.82.2.10Keywords:
Automated irrigation, fertigation, sensors, IoT, yieldIssue
Section
License
Copyright (c) 2025 Mahesh salimath, Nirmal Kaliannan, Sushant Ranjan, Varun Prabhakar

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Precision irrigation is key for increasing tomato yields, especially given the crop’s high-water demands. This study uses Internet of Things (IoT) technology and wireless sensor networks for automated irrigation and fertigation to improve water and fertilizer management for two tomato varieties, ‘Sahoo’ and ‘SVTD8323’, addressing resource inefficiency and water scarcity. The research compares different irrigation thresholds: -23 kPa during the seedling stage (100% water availability) and -30 kPa from vegetative to maturity stages (80% water availability). Fertigation schedules include 100% (F1) and 75% (F2) of the recommended fertilizer dose against a control treatment (constant -23 kPa) using Indian Institute of Horticulture Research fertilizer guidelines. Results show that ‘Sahoo’ under IF1 and IF2 treatments had a 12.5% and 13.5% yield increase over the control, using 34.9% and 38.7% less water, respectively. For ‘SVTD8323’, yields increased by 4.8% and 12.5% with water savings of 35.9% and 29% under IF1 and IF2. Additionally, IF2 treatment for ‘Sahoo’ and ‘SVTD8323’ resulted in a 31% and 14% rise in the number of fruits per plant, and an 8% and 5.5% increase in fruit weight, respectively. Cost analysis indicated that the control incurred the highest costs, with benefit-to-cost ratios of 1.28 and 1.34 for ‘Sahoo’ under IF1 and IF2, and 1.11 and 1.42 for ‘SVTD8323’. IoT-enabled irrigation at 75% RDF significantly improves yield and resource efficiency. Results show that ‘Sahoo’ under IF1 and IF2 treatments had a 12.5% and 13.5% yield increase over the control, using 34.9% and 38.7% less water, respectively. For ‘SVTD8323’, yields increased by 4.8% and 12.5% with water savings of 35.9% and 29% under IF1 and IF2. Additionally, IF2 treatment for ‘Sahoo’ and ‘SVTD8323’ resulted in a 31% and 14% rise in the number of fruits per plant, and an 8% and 5.5% increase in fruit weight, respectively. Cost analysis indicated that the control incurred the highest costs, with benefit-to-cost ratios of 1.28 and 1.34 for ‘Sahoo’ under IF1 and IF2, and 1.11 and 1.42 for ‘SVTD8323’. IoT-enabled irrigation at 75% RDF significantly improves yield and resource efficiency.Abstract
How to Cite
Downloads
1. Argo, W. R. and Biernbaum, J. A. 1994. The effect of irrigation method, water-soluble fertilization, replant nutrient charge, and surface evaporation on early vegetative and root growth of poinsettia. J. Am. Soc. Hortic. Sci. 120: 163–169. 2. Aujla, M. S., Thind, H. S. and Buttar, G. S. 2007. Fruit yield and water use efficiency of eggplant (Solanum melongema L.) as influenced by different quantities of nitrogen and water applied through drip and furrow irrigation. Sci. Hortic.112: 142–148. 3. Eisenhauer, D. E., Martin, D. L, Heeren, D. M. and Hoffman, G. J. 2021. Irrigation systems management, Am. Soc. Agric. Biol. Eng., doi:10.13031/ISM.2021.1 4. Gutiérrez, J., Villa-Medina, J. F., Nieto-Garibay, A. and Porta-Gándara, M. Á. 2013. Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans. Instrum. Meas.63: 166–176. 5. Hicklenton, P. R. and Cairns, K. G. 1996. Plant water relations and mineral nutrition of containerized nursery plants in relation to irrigation method. Can. J. Plant Sci. 76: 155–160. 6. Jiang, H. M., Zhang, J. F., Song, X. Z., Liu, Z. H., Jiang, L. H. and Yang, J. C. 2012. Responses of agronomic benefit and soil quality to better management of nitrogen fertilizer application in greenhouse vegetable land. Pedosphere 22: 650–660. 7. Melvin, S. R. and Martin, D. L. 2018. Irrigation scheduling strategies when using soil water data. EC 3036. University of Nebraska-Lincoln Ext. 8. Monte, J. A., Carvalho, D. F. d., Médici, L. O., Silva, L. D. B. and Pimentel, C. 2013. Growth analysis and yield of tomato crop under different irrigation depths. Rev. Bras. Eng. Agríc. Ambient. 17(9): 926-931. 9. Mukherjee, S., Dash, P. K., Das, D. and Das, S. 2023. Growth, yield and water productivity of tomato as influenced by deficit irrigation water management. Environ. Process. 10: 10. https://doi.org/10.1007/s40710-023-00624-z 10. Nangare, D. D., Singh, Y., Kumar, P. S. and Minhas, P. S. 2016. Growth, fruit yield and quality of tomato (Lycopersicon esculentum Mill.) as affected by deficit irrigation regulated on phenological basis. Agric. Water Manag. 171: 73–79. 11. Palconit, M. G. B., Macachor, E. B., Notarte, M. P., Molejon, W. L., Visitacion, A. Z., Rosales, M. A. and Dadios, E. P. 2020. IoT-based precision irrigation system for eggplant and tomato. 9th Int. Symp. Comput. Intell. Ind. Appl. (ISCIIA 2020). 12. Pramanik, S., Tripathi, S. K., Ray, R. and Banerjee, H. 2014. Economic evaluation of dripfertigation system in Banana cv. Martaman (AAB, Silk) cultivation in the new alluvium zone of West Bengal. Agric. Econ. Res. Rev. 27(347-2016-17115): 103-109. 13. Rohith, G. V., Rashmi, K. S., Hamsa, K. R., Lekshmi, U. D., Rajeshwari, D., Manjunatha, A. V. and Olekar, J. 2015. Incorporating the cost of irrigation water in the currently underestimated cost of cultivation: an empirical treatise. Indian J. Agric. Econ., 70: 1-14, 10.22004/ag.econ.230067 14. Rolfe, C. J., Currey, A. and Atkinson, I. 1994. Horticultural research; NSW agriculture; nursery industry association of australia. managing water in plant nurseries: A guide to irrigation, drainage and water recycling in containerised plant nurseries; NSW Agriculture: Wollongbar, NSW, Australia. 15. Sibomana, I. C., Aguyoh, J. N. and Opiyo, A. M. 2013. Water stress affects growth and yield of container grown tomato (Lycopersicon esculentum Mill) plants. Glob. J. Bio-Sci. BioTechnol. 2: 461-466. 16. Singh, D., Biswal, A. K., Samanta, D., Singh, V., Kadry, S., Khan, A. and Nam, Y. 2023. Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things. Front. Plant Sci. 14: 1239594. doi: 10.3389/fpls.2023.12395941 17. Sun, Y., Hu, K. L., Fan, Z. B., Wei, Y. P., Lin, S. and Wang, J. G. 2013. Simulating the fate of nitrogen and optimizing water and nitrogen management of greenhouse tomato in North China using the EU-Rotate_N model. Agric. Water Manag. 128:72–84. Doi. 10.1016/j.agwat.2013.06.016. 18. Tesfay, T., Berhane, A. and Gebremariam, M. 2019. Optimizing irrigation water and nitrogen fertilizer levels for tomato production. Open Agric. J. 13:198-206. DOI: 10.2174/1874331501913010198. 19. Wan, S. 2008. Effect of saline water on tomato growth and yield by drip irrigation in semi-humid regions of north China. Trans. CSAE 24: 30–35. 20. Wan, X., Li, B., Chen, D., Long, X., Deng, Y., Wu, H. and Hu, J. 2021. Irrigation decision model for tomato seedlings based on optimal photosynthetic rate. Int. J. Agric. Biol. Eng., 14:115–122. 21. Wang, X. and Xing, Y. 2017. Evaluation of the effects of irrigation and fertilization on tomato fruit yield and quality: a principal component analysis. Sci. Rep. 7: 350. 22. Zhai, Y., Yang, Q. and Hou, M. 2015. The effects of saline water drip irrigation on tomato yield, quality, and blossom-end rot incidence: A case study in the south of China. PLoS ONE, 10(11):e0142204. https://doi.org/10.1371/journal.pone.0142204 23. Zhao, F. Yoshida, H. Goto, E. and Hikosaka, S. 2022. Development of an irrigation method with a cycle of wilting partial recovery using an imagebased irrigation system for high-quality tomato production. Agronomy. 12: 1410.
References
Similar Articles
- K. Ramachandrudu, S. Priyadevi, V.S. Korikanthimath, Performance of baby corn varieties under agro-climatic conditions of Goa , Indian Journal of Horticulture: Vol. 70 No. 01 (2013): Indian Journal of Horticulture
- B. Singh, Aakansha Goswami, Mukesh Kumar, Estimation of heterosis in okra for fruit yield and its components through diallel mating system , Indian Journal of Horticulture: Vol. 70 No. 04 (2013): Indian Journal of Horticulture
- P.K. Shrivastava, B.N. Patel, S.N. Patel, Pitcher irrigation for young mango plantation in water scarce hilly tracts of southern Gujarat , Indian Journal of Horticulture: Vol. 67 No. Special Issue (2010): Indian Journal of Horticulture
- Pawan Kumar Pareek, P. K. Yadav, Susheel Kumar, D.K. Sarolia, B. D. Sharma, Integrated nutrients management in Khadrawy date palm under hot arid region , Indian Journal of Horticulture: Vol. 77 No. 03 (2020): Indian Journal of Horticulture
- Nilanjan Nilanjan Biswas, Soumik Samanta, Narayan Chattopadhyay, Apurba Bandyopadhyay, Dipak Kumar Ghosh, Effect of seaweed extract on productivity and quality dynamics of onion cv. Sukhsagar , Indian Journal of Horticulture: Vol. 81 No. 03 (2024): Indian Journal of Horticulture
- V.K. Dua, Jagdev Sharma, Forecasting impact of climate change on potato productivity in West Bengal and adaptation strategies , Indian Journal of Horticulture: Vol. 74 No. 04 (2017): Indian Journal of Horticulture
- Ps. Mariam Anal, Influence of organic nutrient management and variety on the productivity and quality of turmeric at the foothills of Eastern Himalayas , Indian Journal of Horticulture: Vol. 77 No. 04 (2020): Indian Journal of Horticulture
- Mukesh K. Meena, D.D. Sharma, Rekha Meena, Effect of different weed management practices on yield attributing characters and economic feasibility of peach cv. July Elberta , Indian Journal of Horticulture: Vol. 73 No. 03 (2016): Indian Journal of Horticulture
- S.S. Meena, R.S. Mehta, Economic feasibility of weed management practices in cumin , Indian Journal of Horticulture: Vol. 67 No. Special Issue (2010): Indian Journal of Horticulture
- Jagdev Sharma, Ajay Kumar Upadhyay, Ravindra Mulik, Association of mineral imbalance with leaf chlorosis under saline irrigation in Sharad seedless grapes raised on Dog Ridge rootstock , Indian Journal of Horticulture: Vol. 75 No. 04 (2018): Indian Journal of Horticulture
<< < 39 40 41 42 43 44 45 46 47 48 > >>
You may also start an advanced similarity search for this article.
