Challenges and innovations in potato harvester design: the role of artificial intelligence in improving crop sorting
Mustafa A. J. Al-Sammarraie | Zeki Gokalp | Ali Irfan Ilbas
As population growth increases the demand for crops increases and their quality improves, and it becomes necessary to find innovative and modern solutions to enhance production. In this context, artificial intelligence plays a pivotal role in developing new technologies to improve crop sorting and increase agricultural yields. The present review discusses the main differences between manual and mechanical potato harvesting, explaining the advantages and disadvantages of each method. Manual harvesting is highlighted as a traditional method that allows for greater precision in handling the crop, but it requires more time and effort. In contrast, mechanical harvesting provides greater efficiency and speed in the process, but it may damage some tubers due to the design of the machines. The present study also reviews the challenges facing the design of potato harvesting machines, such as the characteristics of potatoes and soil, as these factors play a major role in the performance of the machines. The modern performance of harvesting machines shows significant progress in efficiency, which contributes to improving agricultural operations and reducing waste. The present review also discusses innovations in the field of potato harvesting, such as the use of advanced designs to increase productivity. Finally, it highlights the role of artificial intelligence in improving post-harvest potato sorting operations, which enhances the quality of the final product and reduces waste, making it an essential element in enhancing the agricultural supply chain.
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