HARVEST AND POST-HARVEST TECHNOLOGY INNOVATIONS TO REDUCE YIELD LOSSES IN ITALY
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Keywords: technological innovation, yield loss, agriculture
Abstract
The loss of agricultural produce during the harvest and post-harvest process is a significant problem facing the agricultural sector in Italy. This study aims to evaluate the effectiveness of technological innovations in reducing crop losses in crops such as grapes, olives, and wheat. This research method uses an experimental approach by comparing farmer groups that use modern harvesting and post-harvest technology with groups that use conventional methods. The results of the study show that innovative technology is able to reduce yield loss by up to 25%, improve product quality, and reduce operational costs. The conclusions of this study confirm that advanced harvesting machine technology and storage systems can be a sustainable solution to address agricultural yield loss in Italy, although more research is needed to understand the long-term impact of the adoption of these technologies.
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Bai, X., Liu, N., Zhou, J., Song, J., Wang, G., Chen, A., Chen, Y., Wang, J., Zhang, H., & Li, Y. (2026). Pore architecture reshaping and microbial network restructuring drive sunflower yield gains in saline-alkali soil via straw-sand interlayer systems. Soil and Tillage Research, 257, 106947. https://doi.org/10.1016/j.still.2025.106947
Bascetta, L., & Ferretti, G. (2026). The Role of Autonomous Ground Vehicles in Smart Agriculture: Enabling Control Technologies for Autonomous Navigation. In Z. Ding (Ed.), Encyclopedia of Systems and Control Engineering (First Edition) (pp. 552–565). Elsevier. https://doi.org/10.1016/B978-0-443-14081-5.00007-6
Basile, F., Abreu, A. C., Cannata, C., Mauro, R. P., Cerón-García, M. D. C., Leonardi, C., & Fernández, I. (2026). Preharvest silicon and triacontanol improve postharvest quality in orange and purple carrots. Postharvest Biology and Technology, 232, 114007. https://doi.org/10.1016/j.postharvbio.2025.114007
Becker-Reshef, I., Franch, B., Sahajpal, R., & Sadeh, Y. (2026). 3.08—Crop Yield Forecasting and Estimation. In S. Liang (Ed.), Comprehensive Remote Sensing (Second Edition) (pp. 159–181). Elsevier. https://doi.org/10.1016/B978-0-443-13220-9.00095-0
Benjamin, Z., Najmeh, T., & Shariati, M. (2024). Applications of Artificial Intelligence in Weather Prediction and Agricultural Risk Management in India. Agriculturae Studium of Research, 1(1), 15–27. https://doi.org/10.55849/agriculturae.v1i1.172
Bozzeda, F., Celentano, E., Ortega, L., & Defeo, O. (2025). A 40-year assessment of a harvested sandy beach clam population: Environmental and economic drivers of a regime shift. Ocean & Coastal Management, 263, 107613. https://doi.org/10.1016/j.ocecoaman.2025.107613
Carbone, G., Gurtatta, A. S., & Malyshev, D. (2025). Development and implementation of a hybrid visual prediction algorithm for robotic smart tomato harvesting. Engineering Applications of Artificial Intelligence, 161, 112261. https://doi.org/10.1016/j.engappai.2025.112261
De Francesco, F., Zingaretti, N., Quaglia, D., Moro, G., Pin, A. D., Cavaleri, M. P., Ferraro, A. G., Ferraro, G. A., Cordaro, E. R., Zavan, B., Riccio, M., & Parodi, P. C. (2025). Stemness and clinical performance of water-jet technology: A translational study in breast reconstruction. JPRAS Open, 46, 750–769. https://doi.org/10.1016/j.jpra.2025.10.010
Demichelis, F., Lenzuni, M., Converti, A., Del Borghi, A., Freyria, F. S., Gagliano, E., Mancini, M., Toscano, G., Mazzoni, E., Reguzzi, M. C., Chillin, I., Cominelli, F., Lamastra, L., Savorani, F., & Tommasi, T. (2025). Agro-food waste conversion into valuable products in the Italian scenario: Current practices and innovative approaches. Journal of Environmental Chemical Engineering, 13(2), 115458. https://doi.org/10.1016/j.jece.2025.115458
Derk, K., Nathan, S., & Jonathan, O. (2024). The Role of Biotechnology in Plant Breeding for Sustainable Agriculture in Brazil. Agriculturae Studium of Research, 1(1), 41–55. https://doi.org/10.55849/agriculturae.v1i1.172
Farneti, B., Paucek, I., Khomenko, I., Pennisi, G., Pistillo, A., Pastore, C., Crepaldi, A., Gianquinto, G., Biasioli, F., Orsini, F., & Spinelli, F. (2026). Early postharvest application of LED lighting enhances strawberry quality during storage. Postharvest Biology and Technology, 232, 114018. https://doi.org/10.1016/j.postharvbio.2025.114018
Fullana, A. M., Expósito, A., Escudero, N., Cunquero, M., Loza-Alvarez, P., Giné, A., & Sorribas, F. J. (2023). Crop rotation with Meloidogyne-resistant germplasm is useful to manage and revert the (a)virulent populations of Mi1.2 gene and reduce yield losses. Frontiers in Plant Science, 14, 1133095. https://doi.org/10.3389/fpls.2023.1133095
Goh, H. H., Huang, C., Liang, X., Xie, H., Zhang, D., Dai, W., Kurniawan, T. A., Wong, S. Y., & Goh, K. C. (2025). Sustainable development through the balancing of photovoltaic charging facilities and agriculture for energy harvesting. Applied Energy, 377, 124463. https://doi.org/10.1016/j.apenergy.2024.124463
Guilin, X., Jiao, D., & Wang, Y. (2024). The Precision Agriculture Revolution in Asia: Optimizing Crop Yields with IoT Technology. Agriculturae Studium of Research, 1(1), 1–14. https://doi.org/10.55849/agriculturae.v1i1.172
Huang, Y., Antwi-Afari, M. F., Sun, B., & Liu, J. (2025). Critical success factors for implementing self-powered wearable internet of things sensors in construction: A systematic literature review and conceptual framework. Applied Energy, 401, 126836. https://doi.org/10.1016/j.apenergy.2025.126836
Kashyap, A., Shukla, O. J., Prakash, S., & Kumar, R. (2025). Artificial intelligence in agriculture: Unveiling trends in supply chain advancements. Sustainable Futures, 9, 100708. https://doi.org/10.1016/j.sftr.2025.100708
Kollaros, M. G., Michailidis, M., Poulouktsi, A., Pavlidis, D. A., Skodra, C., Polychroniadou, C., Samiotaki, M., Karamanoli, K., Tanou, G., & Molassiotis, A. (2025). Uncovering the hidden dynamics of pollination in kiwifruit maturity and ripening. Postharvest Biology and Technology, 230, 113763. https://doi.org/10.1016/j.postharvbio.2025.113763
Ma, Q., Qian, Y., Yu, Q., Cao, Y., Tao, R., Zhu, M., Ding, J., Li, C., Guo, W., & Zhu, X. (2023). Controlled-release nitrogen fertilizer application mitigated N losses and modified microbial community while improving wheat yield and N use efficiency. Agriculture, Ecosystems & Environment, 349, 108445. https://doi.org/10.1016/j.agee.2023.108445
Mamabolo, E., Mashala, M. J., Mugari, E., Mogale, T. E., Mathebula, N., Mabitsela, K., & Ayisi, K. K. (2025). Application of precision agriculture technologies for crop protection and soil health. Smart Agricultural Technology, 12, 101270. https://doi.org/10.1016/j.atech.2025.101270
Mdallal, A., Yasin, A., Mahmoud, M., Abdelkareem, M. A., Alami, A. H., & Olabi, A. G. (2025). A comprehensive review on solar photovoltaics: Navigating generational shifts, innovations, and sustainability. Sustainable Horizons, 13, 100137. https://doi.org/10.1016/j.horiz.2025.100137
Nap, J.-P., de Ruijter, F. J., van Es, D. S., & van der Meer, I. M. (2025). The case of sugar beet in Europe: A review of the challenges for a traditional food crop on the verge of climate change and circular agriculture. Journal of Agriculture and Food Research, 24, 102343. https://doi.org/10.1016/j.jafr.2025.102343
Omotayo, A. O., Adediran, S. A., Omotoso, A. B., Olagunju, K. O., & Omotayo, O. P. (2025). Artificial intelligence in agriculture: Ethics, impact possibilities, and pathways for policy. Computers and Electronics in Agriculture, 239, 110927. https://doi.org/10.1016/j.compag.2025.110927
Ozal, G., Ilyasova, C., & Ilgiz, V. (2024). Post-Harvest Storage and Processing Technology in Russia: Reducing Yield Loss. Agriculturae Studium of Research, 1(1), 28–49. https://doi.org/10.55849/agriculturae.v1i1.172
Pantaloni, M., Zucchini, M., Zenobi, G., Lodolini, E. M., Marinelli, G., Minelli, A., & Neri, D. (2025). Sustainable management strategy to preserve Green Infrastructure Heritage. The traditional landscape of olive trees in the city of Ancona, Italy. Land Use Policy, 156, 107603. https://doi.org/10.1016/j.landusepol.2025.107603
Petrovic, B., Kononets, Y., & Csambalik, L. (2025). Adoption of drone, sensor, and robotic technologies in organic farming systems of Visegrad countries. Heliyon, 11(1), e41408. https://doi.org/10.1016/j.heliyon.2024.e41408
Pooja, Chauhan, P., Kumar, A., Rithesh, L., & Kumar, A. (2025). Recent insights into potato dry rot an emerging Disease: Focusing on pathogen diversity, host-pathogen interactions, and management strategies. Microbial Pathogenesis, 207, 107866. https://doi.org/10.1016/j.micpath.2025.107866
Reta, K., Netzer, Y., Lazarovitch, N., & Fait, A. (2025). Canopy management practices in warm environment vineyards to improve grape yield and quality in a changing climate. A review A vademecum to vine canopy management under the challenge of global warming. Scientia Horticulturae, 341, 113998. https://doi.org/10.1016/j.scienta.2025.113998
Rogger, T., Jonathan, H., & Lindsey, K. (2024). Smart Fertilization Technology for Agricultural Efficiency in Canada. Agriculturae Studium of Research, 1(1), 56–70. https://doi.org/10.55849/agriculturae.v1i1.172
Ruggeri, G., Mazzocchi, C., De Marchi, E., Banterle, A., & Sali, G. (2025). Provincial assessment of agricultural biomass residues for renewable energy in Italy. Energy Reports, 13, 2946–2957. https://doi.org/10.1016/j.egyr.2025.02.022
Scotton, M., Donà, E., & Canali, A. (2025). Effects of revegetation methods on wild-boar-rooted semi-natural pastures in the eastern Italian Pre-Alps. Journal of Environmental Management, 395, 127921. https://doi.org/10.1016/j.jenvman.2025.127921
Singh, A., Prasad, S., Singh, R., Younis, K., & Yousuf, O. (2025). Revolutionizing the supply chain: Cutting-edge strategies and technologies for food waste reduction. Bioresource Technology Reports, 29, 102047. https://doi.org/10.1016/j.biteb.2025.102047
Singh, S., Yadav, R., & Singh, A. N. (2026). Chapter 1—Beyond the harvest: The origins and diversity of crop residues and byproducts. In A. Giri, R. Kumar, S. B. Dhull, & S. Acharya (Eds.), Waste to Resources (pp. 3–20). Academic Press. https://doi.org/10.1016/B978-0-443-30246-6.00001-0
Stempfle, S., Russo, S., Fiore, V., Sardaro, R., La Sala, P., & Roselli, L. (2025). Characterizing the agroecological transition of Italian farming systems using FADN database. Environmental and Sustainability Indicators, 26, 100616. https://doi.org/10.1016/j.indic.2025.100616
Sytar, O., Jaithaliya, R., & Sharma, A. (2025). Chapter 12—Solar energy harvesting and its use in agriculture. In S. Kumar & R. S. Meena (Eds.), Agriculture Toward Net Zero Emissions (pp. 239–263). Academic Press. https://doi.org/10.1016/B978-0-443-13985-7.00018-X
Tian, Z., Guo, X., Ma, W., & Xue, X. (2025). Research on kiwifruit harvesting robot worldwide: A solution for sustainable development of kiwifruit industry. Smart Agricultural Technology, 10, 100792. https://doi.org/10.1016/j.atech.2025.100792
Wang, T., Sui, Y., Du, X., Zhang, S., & Chen, L. (2025). A comprehensive review of post-harvest ripening, preservation and processing for Actinidia arguta (mini kiwi). Journal of Stored Products Research, 111, 102582. https://doi.org/10.1016/j.jspr.2025.102582
Wang, Y., Chen, J., Sun, Y., Jiao, Y., Yang, Y., Yuan, X., Lærke, P. E., Wu, Q., & Chi, D. (2023). Zeolite reduces N leaching and runoff loss while increasing rice yields under alternate wetting and drying irrigation regime. Agricultural Water Management, 277, 108130. https://doi.org/10.1016/j.agwat.2022.108130
Waqas, M., Naseem, A., Humphries, U. W., Hlaing, P. T., Dechpichai, P., & Wangwongchai, A. (2025). Applications of machine learning and deep learning in agriculture: A comprehensive review. Green Technologies and Sustainability, 3(3), 100199. https://doi.org/10.1016/j.grets.2025.100199
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