
A agricultura de precisão aplica tecnologias avançadas e abordagens baseadas em dados para otimizar a produção agrícola e o manejo de recursos em uma escala espacial e temporal refinada. Ela integra sensoriamento remoto, sistemas de informação geográfica, aplicação em taxa variável e redes de sensores para monitorar e gerenciar a variabilidade do campo, as condições do solo e a saúde das culturas. Técnicas como mapeamento de produtividade, irrigação de precisão e fertilização localizada melhoram a eficiência dos insumos e a sustentabilidade ambiental. Este domínio interliga agronomia, engenharia e ciência de dados para aprimorar a tomada de decisões e a eficiência operacional nos sistemas agrícolas. Nossa coleção a seguir reúne todas as publicações e patentes recentes que detalham inovações, metodologias e aplicações que moldam o futuro da agricultura de precisão.
Esta é a nossa mais recente seleção de publicações e patentes mundiais em inglês sobre Agricultura de Precisão, provenientes de diversos periódicos científicos online, classificadas e focadas em sensoriamento remoto, tecnologia de taxa variável, mapeamento de solos, monitoramento de culturas, mapeamento de produtividade, drones na agricultura, irrigação de precisão, redes de sensores, análise geoespacial, gestão agrícola, gestão específica do local, modelos de cultivo, sensores de umidade do solo, fertilização de precisão, veículos aéreos não tripulados, plantio de precisão, robótica agrícola, variabilidade de campo, pulverização de precisão, fenótipo vegetal, agricultura digital, pecuária de precisão, sistemas de informação geográfica, imagens de sensoriamento remoto, nutrientes de precisão e agricultura inteligente.
Methods for a system of active and passive water generation devices for frequency load balancing recognized through a sensor network and trading desk
Patent published on the 2026-05-28 in US under Ref US20260149278 by ETHONUS INC [US] (Fleckner Karen [us], Wood Jonathan [us], Ferguson Alexander [us], Alexander Michael [us])
Abstract: [0000] A system includes devices configured to use electrical power to harvest atmospheric water including a sensor configured to measure water generated. The system also includes an electrical power source and a source of real time data regarding a price for power. The system also includes a switch operable to direct power from the power source to either (i) a power grid, or (ii) a water generation device. Processors of the system maintain a smart contract configured to mint power tokens in res[...]
Our summary: The system utilizes devices to harvest atmospheric water and balance power loads. It measures water generated through sensors and manages power distribution via a switch. Smart contracts mint tokens based on power usage and water production.
water generation, power management, sensor network, smart contracts
Patent
Methods and systems for automated structure assessment using uav-based photogrammetry and ai-enhanced segmentation, scoring, and analysis
Patent published on the 2026-05-28 in US under Ref US20260148369 by DRONE INST LLC [US] (Shang Nan [us], Femmer George [us], Sharplin Christopher [us])
Abstract: [0000] The present technology relates to methods and systems for assessing a spatial area based on an at least one condition. The methods can include deploying an deploying an unmanned aerial vehicle (UAV) equipped with imaging technology; capturing images of a spatial area within a geographically selected region, wherein the region is selected based on data indicating potential of the at least one condition; processing the captured images to generate three-dimensional (3D) models and two-dimens[...]
Our summary: The technology involves deploying UAVs to capture images for spatial assessment. It processes these images into 3D models and 2D orthomosaics. Machine learning algorithms analyze the models to detect specific conditions.
UAV, photogrammetry, machine learning, segmentation
Patent
Methods and systems for maritime interception using passive perception
Patent published on the 2026-05-27 in GB under Ref GB2702003 by SARONIC TECH [US] (Vibhav Altekar [us], Abraham Skandera [us], Adam Rizkalla [us], Joseph Gargiulo [us], Aditya Rai [us], Ryan Kitson [us], Jason Lang [us], Joseph Fox-rabinovitz [us], Jacob Freeman [us])
Abstract: An autonomous maritime surface vehicle, AMSV (20a-e, fig 1) has a passive remote sensing system 602a and excludes or does not operate any on-board active remote sensing system. The passive remote sensing system 602a may be a stereovision system. The vessel may include a control system to generate a control signal based on data provided by the passive remote sensing system 602a, and a locomotion system to move or orient the vessel. The stereovision system 602a may be made of two infrared sensors [...]
Our summary: An autonomous maritime surface vehicle utilizes a passive remote sensing system without active sensors. The system includes a control mechanism that processes data from a stereovision setup to detect targets. A plan is generated to maneuver the vessel for target interception.
autonomous maritime vehicle, passive remote sensing, stereovision system, object detection
Patent
Inhibiting corrosion on charging hubs in base stations for unmanned aerial vehicles
Patent published on the 2026-05-21 in US under Ref US20260138762 by SKYDIO INC [US] (Guo Jia [us], Kozlenko Yevgeniy Andreyevich [us], Turvey George Oliver [us], Woo Yee Shan [us])
Abstract: A method of inhibiting corrosion on a charging hub for a base station that is configured to receive an unmanned aerial vehicle (UAV) during docking. The method includes drawing water away from electrical contacts on the charging hub via at least one trough and wicking water away from the electrical contacts.[...]
Our summary: The method inhibits corrosion on charging hubs for UAVs. It involves drawing water away from electrical contacts using a trough. Additionally, it wicks water away to protect the electrical components.
corrosion inhibition, charging hubs, unmanned aerial vehicles, water management
Patent
Autonomous uav visual navigation system
Patent published on the 2026-05-21 in US under Ref US20260140503 by SAUDI DATA AND ARTIFICIAL INTELLIGENCE AUTHORITY SDAIA [SA] (Samma Hussein Salem Ali Bin [sa], Elferik Sami [sa])
Abstract: [0000] A system, method, and non-transitory computer readable medium for autonomous vehicle navigation and visual inspection utilizing a deep Q-network and reinforcement learning includes at least one camera mounted to the vehicle for capturing continuous image frames of a scene, and processing circuitry configured with a reinforcement learning engine that generates a next control action for vehicle movement based on the captured image frames and a reward for a previous control action. A self-su[...]
Our summary: The system utilizes a deep Q-network and reinforcement learning for autonomous navigation and visual inspection. It captures continuous image frames with a mounted camera and processes them to determine control actions. A remote display terminal communicates the captured images and controls UAV movement to avoid obstacles.
autonomous navigation, deep Q-network, reinforcement learning, UAV
Patent
Flight path generation platform, uav and method adapted for supporting aerial live video broadcasting
Patent published on the 2026-05-13 in EP under Ref EP4742218 by ZEITGEIST VENTURES GMBH [DE] (Guffarth Daniel [de], Krupa Miroslav [cz])
Abstract: [0001] Flight path generation platform and unmanned aerial vehicle (UAV). The platform generates and displays a visual representation of a three-dimensional (3D) model of an environment on a display. The platform generates a visual representation of a flight path of the UAV superposed to the visual representation of the 3D model of the environment. The platform generates the flight path of the UAV based on the visual representation of the flight path. The flight path is loaded and stored in a me[...]
Our summary: The platform generates a 3D model of the environment and visualizes the UAV s flight path. It stores the flight path in the UAV s memory for processing. The UAV transmits live video via wireless communication while following the designated trajectory.
Flight path generation, UAV, 3D modeling, aerial broadcasting
Patent
Spatial Analysis and Spread Monitoring of a Population of Juniperus macrocarpa Sm. Across Coastal Dune Systems in Northern Tuscany (Italy)
Published on 2026-02-03 by Andrea Bertacchi, Diego Orazi, Stefano Bedini, Tiziana Lombardi @MDPI
Abstract: Background: Juniperus macrocarpa Sm. is a key shrub species of the Mediterranean coastal dune systems. The species, considered vulnerable, often shows fragmented or declining populations due to coastal erosion and human pressure. However, along a protected stretch of the northern Tuscany coast it displays an opposite trend, with an apparent expansion of the species. Methods: To assess recent population dynamics, we compared high-resolution aerial imagery from 2013 with UAV orthophot[...]
Our summary: The study analyzes the population dynamics of Juniperus macrocarpa in northern Tuscany s coastal dune systems. It compares aerial imagery from 2013 and UAV orthophotos from 2023, revealing significant increases in abundance and cover. Findings emphasize the species expansion under low disturbance conditions and the importance of geomorphological factors in coastal vegetation dynamics.
Spatial Analysis, UAV Orthophotos, Coastal Dune Systems, Population Dynamics
Publication
A No-Reference Multivariate Gaussian-Based Spectral Distortion Index for Pansharpened Images
Published on 2026-02-03 by Bishr Omer Abdelrahman Adam, Xu Li, Jingying Wu, Xiankun Hao @MDPI
Abstract: Pansharpening is a fundamental image fusion technique used to enhance the spatial resolution of remote sensing imagery; however, it inevitably introduces spectral distortions that compromise the reliability of downstream analyses. Existing no-reference (NR) quality assessment methods often fail to exclusively isolate these spectral errors from spatial artifacts or lack sensitivity to specific radiometric inconsistencies. To address this gap, this paper proposes a novel No-Reference Multivariate [...]
Our summary: This paper introduces a No-Reference Multivariate Gaussian-based Spectral Distortion Index (MVG-SDI) for assessing pansharpened images. The methodology utilizes a hybrid feature set combining First Digit Distribution and Color Moment features to quantify spectral distortion. Experiments demonstrate that MVG-SDI correlates better with full-reference benchmarks and maintains stability against specific spectral degradations.
No-Reference, Spectral Distortion, Pansharpening, Multivariate Gaussian
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