Accordingly to Food and Agriculture Organization of the United Nations, in a scenario of modest economic growth, the world’s population is expected to grow to almost 10 billion by 2050. In addition, income growth in low and middle-income countries are leading to higher consumption of meat, fruits, and vegetables, boosting agricultural demand and adding pressure on natural resources. Aiming to attend such demand and reduce impacts, agriculture will have to revolutionize the production process. Precision agriculture is an option to help farmers in the decision making the process for a considerable number of challenges presented by agriculture and can help to achieve sustainable agricultural practices through the use of correct methods, technologies, and processes. Agremo, that is a cloud-based platform for automated analysis of very-high resolution data collected by low altitude remote sensing, was proposed intending to help in the process. Computer vision and machine learning were essential to achieve very accurate automatic solutions that can help users to increase productivity, make better decisions about product application, increase uniformity in the field, reduce labor, among others. These solutions, available in the platform, can help the users (agronomists, drone service providers, input suppliers) to timely, accurately, and efficiently understand their area of interest and make better decisions.