Agricultural Robotics and Agroecological Principles: A Comprehensive References Collection (1996-2024)

This dataset comprises a systematically curated collection of 78 studies retrieved from the Scopus database, focusing on the role of agricultural robots in executing various agricultural operations and practices. These practices encompass seeding, weeding, irrigation, and crop-soil management techniques, with a particular emphasis on how robotic interventions facilitate the implementation of field-level agroecological principles as defined by the High-Level Panel of Experts (HLPE) in 2019. Each study entry provides comprehensive metadata, including country of origin, targeted crop types, study methodology—whether based on field trials, laboratory experiments, or reviews—and the year of publication. To ensure a rigorous analysis of agroecological contributions, the dataset systematically categorizes key attributes aligned with HLPE principles, including biodiversity, synergy, recycling, and soil health. These attributes are meticulously classified according to standardized frameworks to enhance comparability and scientific rigor. Furthermore, the dataset includes Digital Object Identifiers (DOIs) and citation metrics for each study, ensuring traceability, reproducibility, and accessibility for further research. Column Description reference A unique identifier assigned to each study, serving as a citation. doi The Digital Object Identifier (DOI) of the study, which provides a permanent and direct link to the original publication. country-affiliation The country associated with the institution(s) of the study’s authors, reflecting the geographical origin of the research. year The year in which the study was published, indicating its temporal context and relevance. journal-conference The name of the journal or conference in which the study was published, which may be added later for further bibliographic detail. title The full title of the study, to be added, providing a concise summary of its research focus and scope. crop The type(s) of crop addressed in the study, specifying the agricultural context and relevance of the research. research-type The category of research conducted (e.g., field trials, laboratory experiments, reviews), ensuring consistency with the manuscript's classification. oper-crop-soil-mngt Operations related to crop and soil management performed by agricultural robots, such as soil preparation, seeding, weeding, spraying, and harvesting. oper-data-collection Operations in which agricultural robots are used for data collection, including screening, monitoring, and environmental data acquisition. oper-navigation Navigation operations carried out by agricultural robots, such as autonomous path planning, obstacle avoidance, and positioning. prin-biodiversity Maintain and enhance diversity of species, functional diversity and genetic resources and thereby maintain overall agroecosystem biodiversity in time and space at field, farm and landscape scales. prin-synergy Enhance positive ecological interaction, synergy, integration and complementarity among the elements of agroecosystems (animals, crops, trees, soil and water). prin-recycling Preferentially use local renewable resources and close as far as possible resource cycles of nutrients and biomass. prin-soil-health Secure and enhance soil health and functioning for improved plant growth, particularly by managing organic matter and enhancing soil biological activity.