Desenvolvimento de um framework para análise de imagens de sementes, plântulas, mudas e suas partes constituintes: implementação da nuvem de microsserviços

Abstract

Agribusiness has grown significantly in recent years, becoming an important sector of the global economy. As a result, there has been an increase in the use of technology, including computer vision systems in agriculture. These systems allow for accurate and efficient analysis of plants, seedlings, seedlings, and seeds, which is crucial for the success of the crop and the maximization of food production and other agricultural products. However, most computer vision systems in agriculture are developed in decoupled modules and are unable to communicate with other systems. This causes problems such as lack of interoperability and inability to integrate different systems in a single place. Developing a platform that can integrate specialist software and manage data in the cloud is essential to meet the current needs of users. The proposed solution used a microservices architecture and proved to be an efficient and convenient platform for the analysis of images of objects of various categories. It allows for the integration of existing image processing systems and provides accurate and useful information about the processed images. Unit and integration tests were performed to validate the system's services in controlled conditions, ensuring the correct functioning of all functionalities.