Bacchus Long‐Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment

نویسندگان

چکیده

Abstract Achieving a robust long‐term deployment with mobile robots in the agriculture domain is both demanded and challenging task. The possibility to have autonomous platforms field performing repetitive tasks, such as monitoring or harvesting crops, collides difficulties posed by always‐changing appearance of environment due seasonality. With this scope mind, we report an ongoing effort robot vineyard, main objective acquiring what called Bacchus Long‐Term (BLT) data set. This set consists multiple sessions recorded same area vineyard but at different points time, covering total 7 months capture whole canopy growth from March until September. multimodal acquired focus put on pushing development evaluations mapping localization algorithms for operation agricultural domain. Hence, besides set, also present initial study using four belonging plant stages. We identify that state‐of‐the‐art methods can only cope partially amount change environment, making proposed suitable establish benchmark which robotics community test its methods. On our side, anticipate two solutions pointed extracting stable temporal features improving 4D results. BLT available https://lncn.ac/lcas-blt .

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ژورنال

عنوان ژورنال: Journal of Field Robotics

سال: 2023

ISSN: ['1556-4967', '1556-4959']

DOI: https://doi.org/10.1002/rob.22228