Fuzzy mathematics based evaluation method of crop adaptability for agriculture and photovoltaic combined system

Abstract

In view of the lack of theoretical basis for the selection of crop species under agrivoltaics, a comprehensive evaluation method of crop fitness was proposed by using the idea of fuzzy mathematics. Firstly, the sunlight, temperature and precipitation in the process of crop growth were selected to establish the corresponding membership function and the method of comprehensive evaluation of its fitness. The evaluation model of these three conditions was established, and the fitness function was combined with the evaluation model. And a cyber-physical system suitable for agrivoltaics system is proposed. Finally, taking winter wheat as an example, the fitness of different positions in the photovoltaic array was calculated, and the suitable planting areas were divided. It is given as the theoretical foundation for crop selection which can be used to optimize the distribution of crops.