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CT successfully concludes its precision agriculture R&D project

The company has completed the development of DITIPO, a precision agriculture project focused on citrus cultivation

After three years of research and development, the company CT, based in Aerópolis, has successfully completed DITIPO, an R&D project whose objective is to monitor the state of the orange groves by applying multispectral technology installed in drones.

The project, in which a consortium made up of Spanish and South Korean entities has collaborated, has focused solely on the cultivation of citrus fruits and its operational environment encompasses both the farm and the classification line.

The main objective of DITIPO has been to develop hardware tools (multispectral camera) and software that, together, are capable of: monitoring the state of the plantation, evaluating tree production, deciding the optimal time of harvest, analyzing and classifying the fruit ; according to the defects and classes defined by the applicable international regulations.

In order to achieve the stated objectives, it was necessary to expand the study range beyond the near infrared (NIR-SWIR) and deepen the knowledge of the most common spectrum environments (VNIR and UV). Consequently, new indexes, algorithms and applications were investigated and developed.

CT, responsible for software development, has managed to create a secure, economic and user-friendly web infrastructure for data analysis and decision support, capable of centralizing plantation management, the UAV, images, algorithms, the indices, the classification line, the processed information and the exploitation of results.

After the advances made in the second year, CT has explored and implemented new capabilities: the administrator user is able to add new cameras to the list of sensors already available, export the mission data generated by the web application, in a format compatible with MAVlink and editable with MissionPlanner type tools.

In addition, the level of information available for mission planning has been increased, thanks to the integration of NOTAM, meteorological and KP index data sources, and improvements have been achieved in the diagnostic competence of the pre-harvest phase, thanks to the Incorporation of a new plant index: the PLS Regression (Citrus) Nitrogen Stress Index.

In addition, through the laboratory and field tests carried out, the confidence level of the Maturity Index (MI) has been optimized.

It should be noted that the diagnostic strength of the system lies in the number of indexes used, linked to the pre-harvest phase or to the fruit directly, key quality indicators that have been carefully studied and selected during the first and second year of the project.

After the completion of the application's quality control and the execution of the corrective actions identified, the consortium values ​​its commercial potential, which is framed within the concept of technical consulting.

Its main audience could be citrus fruit and vegetable corporations / cooperatives and / or intermediary companies focused on the commercialization of agricultural engineering services.