The Use of Computer Vision to Improve the Affinity of Rootstock-Graft Combinations and Identify Diseases of Grape Seedlings

This study explores the application of computer vision for enhancing selection rootstock-graft combinations and detecting diseases in grape seedlings. Computer has various applications viticulture, but publications research have not reported use selection, which defines novelty this research. paper presents elements technology applying to includes an analysis seedling cuttings. allows a more accurate determination compatibility between rootstock graft, as well detection potential diseases. The utilization automate grafting process cuttings offers significant benefits terms increased efficiency, improved quality, reduced costs. can replace manual labor ensure economic efficiency reliability, among other advantages. It also facilitates monitoring development seedlings determine appropriate planting time. Image processing algorithms play vital role automatically determining characteristics such trunk diameter presence any damage. Furthermore, aid identification defects seedlings, is crucial assessing their overall quality. automation these processes several advantages, including costs through reduction waste. To fulfill objectives, unique robotic assembly line planned will be equipped with two conveyor belts, delta robot, system. automating quality improvement, cost reduction. By incorporating image advanced robotics, revolutionize viticulture industry. Thanks training system analyze data on graft varieties, it possible reduce number by half. implementation semi-automated improve crossbreeding 90%. Reducing time spent pairing advantage. While takes 1 2 min, reducing 30 s using system, prospect further 10–15 s, significantly increase productivity process. In addition aforementioned benefits, integration brings One notable advantage accuracy precision selection. wide range factors, size, shape, color, structural characteristics, make informed decisions when matching varieties. lead better success rates.