DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURES

A device using image and LIDAR with artificial intelligence for precise laser scarification addresses inefficiencies in existing seed dormancy removal methods, ensuring rapid and sustainable seed germination by protecting the embryo and applying plant hormones.

BR102025001029A2Pending Publication Date: 2026-07-28UNIVERSIDADE FEDERAL DE LAVRAS UFLA
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Patent Information

Application Number
BR102025001029
Authority / Receiving Office
BR · BR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-01-20
Publication Date
2026-07-28

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Description

/ 13 DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURES Field of invention

[001] The present invention relates to a device for the autonomous identification and removal of seed dormancy structures. The device comprises the autonomous operation of identifying dormancy structures by image and LIDAR (Light Detection and Ranging) linked to artificial intelligence, whose decision-making triggers, positions, and determines the power of a laser capable of scarifying the seed with very high precision, promoting the overcoming of dormancy imposed by tissues adjacent to the embryo simultaneously with the complete preservation of its structure and protection against pathogens, providing rapid germination of viable seeds. The invention encompasses the technical sectors of precision agriculture, overcoming seed dormancy, and rapid germination of viable macauba seeds. Fundamentals of the invention

[002] Brazil stands out globally for its highly competitive agriculture, which generates jobs, wealth, food, fiber, and bioenergy, with the agribusiness sector responsible for approximately 25% of the national Gross Domestic Product (ARRUDA, Daniel; CANDIDO, Hugo G.; FONSECA, Rúbia. Amazon fires threaten Brazil's agribusiness. Science, v. 365, n. 6460, p. 1387-1387, 2019), presenting successive production records, responsible for the largest surplus ever recorded in Brazil's history, of US$141.8 billion in 2022 (BRASIL. Ministério da Agricultura, Pecuária e Abastecimento (MAPA). Exportações do agronegócio fecham 2022 com US$159 ouvinte em vendas. [Brasília]: MAPA, 17 jan. 2023. Available at: https: / / www.gov.br / agricultura. Accessed (as of December 11, 2023). As a consequence, the area to be harvested in 2023 is expected to increase by 4.6% compared to the extent of the cultivated field in 2022, corresponding to 3.4 million hectares (BRAZIL. Brazilian Institute of Geography and Statistics (IBGE).Systematic Production Survey. Petition 870250004363, dated 20 / 01 / 2025, page 57 / 69 / 13 Agricultural. [Brasília]: LSPA, June 13, 2023. Available at: https: / / sidra.ibge.gov.br. Accessed on: December 11. 2023), compelling Brazilian producers towards sustainable land management (CHAVES, Michel ED et al. Reverse the Cerrado's neglect. Nature Sustainability, p. 1-2, 2023) and the adoption of new technologies to improve crop yields (BUSTOS, Paula; CAPRETTINI, Bruno; PONTICELLI, Jacopo. Agricultural productivity and structural transformation: Evidence from Brazil. American Economic Review, v. 106, n. 6, p. 1320-1365, 2016.), a strategy that also preserves Brazilian biomes from deforestation (FENG, Xiao et al. How deregulation, drought and increasing fire impact Amazonian biodiversity. Nature, v. 597, n. 7877, p. 516-521, 2021; METZGER, Jean Paul et al. Why Brazil needs its legal reserves. Perspectives in Ecology and Conservation, v. 17, no. 3, p. 91-103, 2019; RAJÃO, Raoni et al. The rotten apples of Brazil's agribusiness. Science, vol. 369, no. 6501, p. 246-248, 2020).

[003] Applying seedlings to crops accelerates the plant development process, increases crop productivity and quality, avoids seed waste, and promotes soil conservation, reducing the amount of agricultural inputs needed during crop development, contributing to more productive and sustainable agriculture (GROSSNICKLE, Steven C.; MACDONALD, Joanne E. Seedling quality: history, application, and plant attributes. Forests, v. 9, n. 5, p. 283, 2018). However, for the production of commercial seedlings, the natural process of seed dormancy, which consists of the innate restriction to germination in order to prevent germination in unpredictably variable environments and / or to distribute offspring over time, becomes a challenge to be overcome (WILLIS, Charles G. et al. The evolution of seed dormancy: environmental cues, evolutionary hubs, and diversification of the seed plants. New Phytologist, v. 203, n. 1, p. 300-309, 2014).

[004] Traditional techniques used to overcome seed dormancy consist of chemical scarification, mechanical scarification, cold and hot-cold stratification, thermal shock, exposure to intense light, immersion in hot water, and soaking in cold water. The main disadvantages of these techniques include the use of chemical reagents that are toxic to the environment, high implementation costs and treatment time, as well as potential damage to the seed, which can render the embryo unviable or Petição 870250004363, de 20 / 01 / 2025, pág. 58 / 69 / 13 comprometer seu vigor e potencial germinação (LAMONT, Byron B. and PAUSAS, Juli G. Seed dormancy revisited: Dormancy-release pathways and environmental interactions. Functional Ecology, v. 37, n. 4, p. 1106-1125, 2023; PENFIELD, Steven. Seed dormancy and germination. Current Biology, v. 27, n. 17, p. R874-R878, 2017; FINCH-SAVAGE, William E. and LEUBNER-METZGER, Gerhard. Seed dormancy and the control of germination. New phytologist, v. 171, n. 3, p. 501-523, 2006).

[005] Emerging mechanisms for breaking seed dormancy involve the application of nanoparticles to act on seed metabolism and signaling pathways (DO ESPIRITO SANTO PEREIRA, Anderson et al. Nanotechnology potential in seed priming for sustainable agriculture. Nanomaterials, v. 11, n. 2, p. 267, 2021) and manipulation of dormancy regulators through RNAi technologies (SRIVASTAVA, Ashish Kumar; SURESH KUMAR, Jisha; SUPRASANNA, Penna. Seed 'primeomics': plants memorize their germination under stress. Biological Reviews, v. 9, n. 6, p. 703, 2020; NÉE, Guillaume; XIANG, Yong; SOPPE, Wim JJ.8-14, 2017; ), technologies that face a lack of adequate regulatory bodies to control their application and a lack of long-term studies to determine their impacts on the ecosystem (BALUSAMY, Sri Renukadevi et al. Advancing sustainable agriculture: a critical review of smart and eco-friendly nanomaterial applications. Journal of Nanobiotechnology, v. 21, n. 1, p. 372, 2023, MAT JALALUDDIN, Nurzatil Sharleeza; OTHMAN, Rofina Yasmin; HARIKRISHNA, Jennifer Ann. Global trends in research and commercialization of exogenous and endogenous RNAi technologies for crops. Critical Reviews in Biotechnology, v. 39, n. 1, p. 67-78, 2019).

[006] Precision agriculture comprises the set of technologies that combine sensors, information systems, artificial intelligence, improved machinery and computerized management to optimize agricultural production processes, in order to promote efficiency, increased productivity and sustainability in the manufacture of food and agricultural inputs (GEBBERS, Robin; ADAMCHUK, Viacheslav I. Precision agriculture Petition 870250004363, dated 01 / 20 / 2025, pp. 59 / 69 / 13 and food security. Science, v. 327, n. 5967, p. 828-831, 2010.). Despite Brazil's importance in the agribusiness scenario, Brazilian precision agriculture is still incipient (BERNARDI, AC de C.; NAIME, J. de M.; RESENDE, AV de; BASSOI, LH; INAMASU, RY. Precision agriculture: results of a new perspective. Brasília, DF: Embrapa, 2014. p. 559-577.). In particular, computer vision solutions combined with artificial intelligence algorithms for pattern detection in images can be used in grain production for disease determination, grain quality, and phenotyping (SHAIKH, Tawseef Ayoub; RASOOL, Tabasum; LONE, Faisal Rasheed. Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming. Computers and Electronics in Agriculture, v. 198, p. 107-119, 2022; PATRÍCIO, Diego Inácio; RIEDER, Rafael).Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review. Computers and electronics in agriculture, v. 153, p. 69-81, 2018).

[007] The present invention has strong technological and sustainable appeal by providing a significant increase in seed germination efficiency through the precise identification of seed dormancy structure by electromagnetic image / radiation linked to artificial intelligence, whose decision-making triggers a laser capable of scarifying the seed with very high precision, promoting the overcoming of dormancy imposed by tissues adjacent to the embryo simultaneously with the complete conservation of its structure and protection against pathogens, providing rapid germination of viable seeds.

[008] Regarding the academic literature, particularly concerning the application of computer vision combined with Artificial Intelligence algorithms for pattern detection in agricultural images, the sustainability-promoting character of Precision Agriculture in the field is notable (PATRÍCIO, Diego Inácio; RIEDER, Rafael. Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review. Computers and electronics in agriculture, v. 153, p. 69-81, 2018). Thus, the following references present the main advances in image / electromagnetic radiation identification techniques applied to plants that Petition 870250004363, dated 01 / 20 / 2025, pages 60 / 69 / 13, presents dormant structures that can be removed by means of the present invention.

[009] The reference (OLIVEIRA, Ulisses F. et al. Predicting oil content in ripe Macaw fruits (Acrocomia aculeata) from unripe ones by near infrared spectroscopy and PLS regression. Food Chemistry, v. 351, p. 129314, 2021) discusses a methodology for the early quantification of the oil content of green macaúba fruits using near-infrared spectroscopy. The reference does not analyze macaúba seeds, therefore it does not present similarities with the present invention.

[0010] The reference (COSTA, Anderson G. et al. Relationship between biospeckle laser technique and firmness of Acrocomia aculeata fruits. Revista Brasileira de Engenharia Agrícola e Ambiental, v. 21, p. 68-73, 2017) discusses the application of the non-destructive optical technique biospeckle laser for determining the maturation stage of Acrocomia aculeata fruits. There is no investigation of the seeds using this technique, therefore there are no similarities with the present invention.

[0011] The reference (DE JESUS ​​​​JUNQUEIRA, João Renato et al. Infrared Drying of Bocaiuva (Acrocomia aculeata) Slices: Drying Kinetics, Energy Consumption, and Quality Characteristics. Food Biophysics, p. 1-10, 2024) explores the infrared drying technique for preserving bocaiuva fruits. There is no research on bocaiuva seeds, therefore no similarities with the present invention.

[0012] The reference (LEÓN, Lorenzo; GARRIDO-VARO, Ana; DOWNEY, Gerard. Parent and harvest year effects on near-infrared reflectance spectroscopic analysis of olive (Olea europaea L.) fruit traits. Journal of agricultural and food chemistry, v. 52, n. 16, p. 4957-4962, 2004) investigates the application of near-infrared spectroscopy as a selection tool in olive seedling breeding programs. The technique is not applied to the study of olive seeds, therefore there are no similarities with the present invention. Petition 870250004363, dated 20 / 01 / 2025, pp. 61 / 69 / 13

[0013] The reference (CAN, Aygül et al. The potential of near and mid-infrared spectroscopy for rapid quantification of oleuropein, total phenolics, total flavonoids and antioxidant activity in tree leaves (Olea europaea). Journal of Food Measurement and Characterization, v. 12, p. 2747-2757, 2018) analyzes the application of infrared spectroscopy to quantify the composition of olive leaves. The technique is not applied in the study of olive seeds, therefore there are no similarities with the present invention.

[0014] The reference (LIA, Frederick et al. Application of fluorescence spectroscopy and chemometric models for the detection of vegetable oil adulterants in Maltese virgin olive oils. Journal of food science and technology, v. 55, p. 2143-2151, 2018) examines the application of fluorescence spectrometry combined with an artificial neural network to the analysis of Maltese extra virgin olive oil adulterated by mixing with vegetable oil. The technique is not applied to the study of olive seeds, therefore there are no similarities with the present invention.

[0015] The reference (LARIOS, Gustavo S. et al. Laser-induced breakdown spectroscopy as a powerful tool for distinguishing high- and low-vigor soybean seed lots. Food Analytical Methods, v. 13, p. 1691-1698, 2020) discusses the analysis of different soybean seed lots of different physiological qualities based on their nutrient content by laser-induced breakdown spectroscopy assisted by multivariate analysis and machine learning algorithms with promising potential for classifying soybean seed lots according to their physiological quality based on their nutrient content. Given that this study does not aim to identify seed dormancy structures, there are no similarities with the present invention.

[0016] The reference (AGELET, Lidia Esteve; HURBURGH JR, Charles R. Limitations and current applications of Near Infrared Spectroscopy for single seed analysis. Talanta, v. 121, p. 288-299, 2014) discusses the potential application of near-infrared spectroscopy for classifying individual seeds according to specific characteristics and attributes without altering their properties. The study Petition 870250004363, dated 01 / 20 / 2025, pp. 62 / 69 / 13 does not explore the application of this technique for the identification and removal of seed dormancy structures, therefore similarities with the present invention.

[0017] The reference (BARBOZA DA SILVA, Clíssia et al. Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality. Scientific reports, v. 11, n. 1, p. 17834, 2021) investigates the use of autofluorescence spectral images and machine learning algorithms to develop distinct models to consistently discriminate between high and low vigor soybean seeds. The reference explores the physiological potential of soybean seeds through the analysis of their autofluorescent compounds, therefore without investigating the dormancy structures of the seeds, thus showing no similarity to the present invention.

[0018] With regard to patent documents, patent document BR 102013031600-8 A2, with a priority date of 09 / 12 / 2013, deals with a device for the mechanical extraction of the operculum of palm seeds, in particular, Acrocomia aculeata, based on perforating blades. Given that the present invention removes the operculum of palm seeds by means of a laser, this patent document does not present any similarity to the present invention.

[0019] Patent document BR 20 2017 010814 2 Y1, with a priority date of 05 / 23 / 2017, deals with a portable macauba fruit harvesting device using mechanical vibrations applied directly to the macauba bunch. Since it only explores the removal of macauba fruits, without any application to their seeds, this patent document does not present any similarity to the present invention.

[0020] Patent document PI 0703180-7 B1, with a priority date of 20 / 07 / 2007, describes a process consisting of 7 treatments applied sequentially for the induction of germination and production of pre-germinated seeds of palm trees of the genus Acrocomia. In one of the treatments, mechanical scarification of the plant's operculum occurs using a blade. Although the treatments presented in this patent document can be implemented, if desired, in the present invention, the process presented does not autonomously identify dormant structures and remove them using a laser, therefore lacking similarities with the present invention. Petition 870250004363, dated 20 / 01 / 2025, pages 63 / 69 / 13

[0021] Patent document PI 0720286-5 A2, with a priority date of 12 / 12 / 2007, deals with a laser energy device for soft tissue removal in surgical procedures. Apart from the application of laser for the removal of biological tissues, the patent document bears no resemblance to the present invention.

[0022] Patent document PI 8601969-4 A2, with a priority date of 04 / 30 / 1986, addresses the construction of a flexible catheter for the removal of biological material by laser energy in different locations within the human body. Apart from the application of laser for the removal of biological tissues, the patent document bears no resemblance to the present invention.

[0023] Patent document BR 10 2024 005205 ​​6, with a priority date of 03 / 15 / 2024, deals with a device for attaching to a drone for autonomous searching for crop pests using artificial intelligence and their subsequent annihilation by laser. Although the patent document presents a system composed of computer vision and laser actuation, there is no development of a mechanical structure adapted for the insertion of seeds as in the present invention, therefore there is no similarity between the inventions.

[0024] Patent document PI 0916984-9 A2, with a priority date of 20 / 08 / 2009, identical to patent document WO 2010 / 022286 of 25 / 02 / 2010, concerns an apparatus for removing tissues or structures from seeds, composed of a mechanical structure equipped with a seed holder and distinct removal tools such as a water jet, grinder, drill, punch, blade, scraper, laser or laser beam. The seed must be coated with a covering that is attracted by a magnet to its rotation within the device.Although it proposes to remove immobilized seed structures in a mechanical structure, the present invention differs from this patent document by featuring a sensor that tracks the seed surface, allowing for the automatic application of laser with varying and specific power for each seed, a computer vision camera that individually defines the correct moment to finalize the operation for each seed, tracking and determining the best operating procedure, and an automatic hormone bathing system that accelerates seed growth, offering up to five different types of baths. Petition 870250004363, dated 20 / 01 / 2025, pages 64 / 69 / 13 These features make the equipment more efficient and precise in the operation and treatment of seeds, especially for those that cannot undergo deep cuts. Therefore, there is no similarity between the inventions. Brief description of the drawings

[0025] Figure 1 presents the isometric perspective of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE. In it, the coordinate axes of the equipment can be observed.

[0026] Figure 2 presents the isometric perspective of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE. In it, one can observe: Intelligent device for controlling the equipment and input and output peripherals (1); protective housing for the equipment (2); acrylic structure with protective filter for the operator against the laser beams of the equipment (3).

[0027] Figure 3 shows the right side view in section of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE. In it, one can observe: laser control module (4); camera and LIDAR control system (5); rolling support and movement structure of the system (6); movement rail of the rolling support and movement structure of the system (7); seed guiding structure for bathing (8); stepper motor responsible for automatic controlled movement of the z-axis (9); stepper motor responsible for automatic controlled movement of the x-axis (10); stepper motor responsible for automatic controlled movement of the z-axis of seed bathing (11); protective cover for the bathing system valves (12).

[0028] Figure 4 shows the right side view in section of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE. In it, one can observe: valve of the distilled water reservoir for cleaning the system (13); valve of the product disposal reservoir. Petition 870250004363, dated 20 / 01 / 2025, page 65 / 69 / 13 (14); reservoir valve for the product used in bath E (15); reservoir valve for the product used in bath D (16); reservoir valve for the product used in bath C (17); reservoir valve for the product used in bath B (18); reservoir valve for the product used in bath A (19).

[0029] Figure 5 shows the left side cutaway views of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE. In it, one can observe: perforated lifting tray for promoting seed respiration (20); lifting spindle of the perforated lifting tray for promoting seed respiration (21); fluid movement pump (22); supply nozzle for the product reservoir used in bath A (23); supply nozzle for the product reservoir used in bath B (24); supply nozzle for the product reservoir used in bath C (25); supply nozzle for the product reservoir used in bath D (26); supply nozzle for the product reservoir used in bath E (27); supply nozzle for the product disposal reservoir (28); supply nozzle for the distilled water reservoir for cleaning the system (29); reservoir for the product used in bath A (30);Product reservoir used in bath B (31); Product reservoir used in bath C (32); Product reservoir used in bath D (33); Product reservoir used in bath E (34); Product disposal reservoir (35); System cleaning distilled water reservoir (36).

[0030] Figure 6 shows the isometric view and detail of the seed positioning conveyor of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE. In it, one can observe: seed positioning conveyor (37); seed accommodation rubber (38); movable fastener in relation to the opening and locking movement axis (39); internal spring (40); structure of the seed positioning conveyor (41); opening and locking movement axis (42); external spring to the fixed support of the opening and locking movement axis (43); fixed fastener in relation to the opening and locking movement axis (44). Petition 870250004363, dated 20 / 01 / 2025, pages 66 / 69 / 13

[0031] Figure 7 shows the isometric view of the laser and peripherals of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE. In it, one can observe: ventilation system (45); LED for brightness parameterization for computer vision camera (46); laser control module (4); laser structure (47); camera and LIDAR control system (5); LIDAR sensor (48); computer vision camera (49).

[0032] Figure 8 presents the main and summarized flowchart for the execution of the DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE.

[0033] Figure 9 shows an X-ray image of 4 macauba seeds, in which the operculum was laser scarified. From the images it is possible to observe that there was no damage to any embryo. Description of the invention

[0034] The invention described herein comprises a system for autonomous operation of identification of dormancy structure by image and LIDAR (Light Detection and Ranging) linked to artificial intelligence, whose decision-making activates, positions and determines the power of a laser capable of scarifying the seed with very high precision, promoting the overcoming of dormancy imposed by tissues adjacent to the embryo and performs the programmed bath of compounds such as plant hormones, polyamines, salicylic acid, nanostructures, microstructures, proteins, enzymes, phytoalexins, among others that the operator considers necessary.

[0035] The described system consists of an intelligent device for controlling the equipment and input and output peripherals, a protective housing for the equipment, an acrylic structure with a protective filter for the operator against the laser beams of the equipment, a laser control module, a camera and LIDAR control system, a rolling support and movement structure for the system, a movement rail for the rolling support and movement structure for the system, stepper motors responsible for the x,yez movement of the seed bath, and a protective cover for the valves of the Petition 870250004363, dated 01 / 20 / 2025, pp. 67 / 69 / 13: bath system, valves for cleaning reservoirs and products, perforated lifting tray to promote seed respiration, perforated tray lifting spindle, fluid movement pump, reservoir supply nozzles, seven reservoirs, seed positioning conveyor composed of accommodation rubbers, movable fastener and internal and external springs to the fixed support of the opening and locking movement shaft, conveyor lock movement shaft, ventilation system, LED lighting for computer vision camera, laser structure, LIDAR sensor and computer vision camera.

[0036] The conveyor belt can be adjusted for different seed geometries, so as to provide each one with the ideal conditions for identifying the dormancy structure and correct removal. This is particularly useful given the various shapes and sizes of seeds that can be used in the equipment.

[0037] The process consists of a series of operations performed sequentially or in parallel. Initially, the seeds are inserted into a positioning conveyor by the operator, who arranges the seeds with the analysis points facing upwards. Next, operational parameters are defined, including the type of bath (single or multiple), the order and use of the chambers, as well as specifying which products will be discarded and the time required for each procedure. After the definition, the positioning conveyor automatically moves the seeds into the chamber. The inspection is carried out with the aid of computer vision and LIDAR sensors, which identify the operating points for laser removal, using artificial intelligence to adjust the power and height of the beam for each seed. After all the seeds have been processed, the conveyor is opened to release the seeds for the bath; otherwise, the seeds that still need processing are marked and reprocessed.The system also includes a bathing stage, where valves and pumps are automatically controlled by Artificial Intelligence, image, temperature, and pH to maintain the proper liquid level. If the level is low, manual intervention is required to replenish the product in the reservoirs used in the bath. The procedure is completed with an audible signal indicating that the cycle is finished, after which the seeds are lifted to be removed from the equipment by the operator. Petition 870250004363, dated 20 / 01 / 2025, pp. 68 / 69 / 13 Examples of embodiments of the invention

[0038] An example of an embodiment of the invention is the removal of the operculum from macauba seeds. It is possible to observe, by an X-ray image, Figure 9, the removal of the operculum without any damage to the embryo. Petition 870250004363, dated 20 / 01 / 2025, p. 69 / 69

Claims

1 / 2 CLAIMS 1. DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE, characterized by comprising: a) Mechanical system: a retractable conveyor belt for positioning the seeds by the operator, a structure for scarifying the seed by means of a laser, a system for conveying the seeds to the bathing system, and a system for lifting the seeds for removal by the operator; b) Laser structure identification and removal system: a system for locating the removal points with the aid of computer vision and LIDAR (Light Detection and Ranging) sensors, using artificial intelligence to adjust the power and height of the laser beam, ensuring precision in scarification; c) Bathing system: a programmed bathing system that includes agitation and aeration, aiming to avoid damage to the seeds during the immersion process in selected compounds.

2. DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE, according to claim 1, characterized by having drive motors on the x, y, and z axes, adjustable seed accommodation system, automatic opening for the bathing system, movement of the agitation base of the bathing system, and seed lifting.

3. DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE, according to Petition 870250004363, dated 01 / 20 / 2025, page 55 / 69 2 / 2 claim 1, characterized by the fact that the identification of the removal structure is performed by computer vision of the image and / or spectrometric type, which may include near-infrared spectrometer, Raman spectrometer, electromagnetic wave spectrometer, X-rays, spectrophotometers, thermography, night vision, acoustic imaging, digital camera.

4. DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE, according to claim 1, characterized by the programmed bath system that allows the immersion of seeds in compounds such as plant hormones, polyamines, salicylic acid, nanostructures, microstructures, proteins, enzymes, phytoalexins, among other compounds, as needed and defined by the operator.

5. DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE, according to claim 1, characterized by enabling, in the bathing stage, automatic control of temperature, pH, oxygenation and / or other gases.

6. DEVICE FOR AUTONOMOUS OPERATION OF IDENTIFICATION AND REMOVAL OF SEED DORMANCY STRUCTURE, according to claim 1, characterized by the presence of an intelligent control module that integrates and manages the scarification, identification, and bathing systems, providing autonomous and efficient operation of the device. Petition 870250004363, dated 01 / 20 / 2025, pp. 56 / 69