A novel grafting machine for Solanaceae based on big data and deep learning technologies

This paper addresses the issue of low manual grafting efficiency in solanaceous crops and the high training and operational costs associated with current expensive grafting equipment. Traditional grafting methods mainly rely on manual operations, which are inefficient and require high technical skills from workers. To improve grafting efficiency and reduce labor intensity, there is an urgent need to develop automated or semi-automated grafting machinery. This type of equipment can not only reduce the use of pesticides and pesticide residues but also significantly increase economic benefits, with potential yields of 7-10 tons per acre, which is 2-3 times higher than the benefits of non-grafted planting[2]. In response to these backgrounds and needs, this project has designed a new type of Solanaceae grafting machine based on big data and deep learning, accelerating the process of smart agriculture and comprehensive mechanization in agriculture, bringing new hope for the development of the Solanaceae crop industry.