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Latest Publications & Patents on Precision Agriculture

Precision Agriculture

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Precision agriculture
Precision agriculture leverages advanced technologies and data analytics to enhance crop production and resource management.

Precision agriculture applies advanced technologies and data-driven approaches to optimize crop production and resource management at a fine spatial and temporal scale. It integrates remote sensing, geographic information systems, variable rate application, and sensor networks to monitor and manage field variability, soil conditions, and crop health. Techniques such as yield mapping, precision irrigation, and site-specific fertilization improve input efficiency and environmental sustainability. This domain intersects agronomy, engineering, and data science to enhance decision-making and operational efficiency in farming systems. Our following collection compiles all recent publications and patents that detail innovations, methodologies, and applications shaping the future of precision agriculture.

This is our latest selection of worldwide publications and patents in english on Precision Agriculture, between many scientific online journals, classified and focused on remote sensing, variable rate technolog, soil map, crop monitoring, yield map, drones in agriculture, precision irrigation, sensor network, geospatial analys, farm manage, site-specific manage, crop model, soil moisture sensor, precision fertiliz, unmanned aerial vehicle, precision plant, agricultural robotic, field variabilit, precision spray, plant phenotyp, digital agriculture, Precision Agriculture, precision livestock, geographic information system, remote sensing imagery, precision nutrient and smart farming.

Electromagnetically controlled flapping wing aerial device

Patent published on the 2026-06-11 in WO under Ref WO2026122076 by KATO KIYENGO JEFFREY [UG] (Kato Kiyengo Jeffrey [ug])

Abstract: The present invention relates to a flapping-wing aerial body capable of controlled flight using electromagnetically driven wing motion. The invention mimics the flight dynamics of insects, such as wasps and bees, by creating lift and thrust through the up-and-down movement of its wings. Electromagnets are employed to attract and release metallic plates connected to the wings, causing them to flap. This motion allows the aerial body to move in multiple directions, including forward, backward, lef[...]


Our summary: The invention is an electromagnetically controlled flapping wing aerial device that mimics insect flight dynamics. It uses electromagnets to drive wing motion for multi-directional movement and precise control. This design offers a compact and energy-efficient alternative to conventional drone technologies.

flapping wing, electromagnet, microcontroller, UAV

Patent

Security monitoring system

Patent published on the 2026-06-10 in EP under Ref EP4756768 by VERISURE SARL [CH] (Piedbois Julien [ch], Hackett Nicolas [ch])

Abstract: [0001] A security monitoring system of a premises and a method for operating such a security monitoring system. The method comprises monitoring a geographic area surrounding a building on the premises, detecting an unmanned aerial vehicle, UAV, in the monitored geographic area increasing the sensitivity of the security monitoring system in response to the UAV being detected in the geographic area.[...]


Our summary: A security monitoring system operates by monitoring the area around a building. It detects unmanned aerial vehicles (UAVs) within this area. The system increases its sensitivity when a UAV is detected.

security monitoring, UAV detection, geographic area, sensitivity adjustment

Patent

Object detection system based on state space model and multi-scale attention

Patent published on the 2026-06-04 in WO under Ref WO2026113460 by CHONGQING WUHUAN EXPERIMENTAL INSTR CO LTD [CN] (Luo Fei [cn], Song Guolin [cn], Song Fei [cn], Peng Shixin [cn], Wu Qingjie [cn], Lin Guangxi [cn], Wei Xiaolin [cn])

Abstract: An object detection system based on a state space model and multi-scale attention. The object detection system has a state space model (a Hazy-Mamba model) that is an innovative framework based on a MambaYOLO model, integrates an HAFE module and an MAG module, and solves, by means of knowledge distillation technique, the problems of a low detection accuracy in a haze environment, excessive model complexity, and difficulty in adapting to the deployment on an unmanned aerial vehicle. The object de[...]


Our summary: The object detection system utilizes a state space model and multi-scale attention to enhance detection accuracy in haze environments. It integrates HAFE and MAG modules, achieving high mAP values while maintaining lightweight deployment for UAVs. The system adapts to environmental challenges, ensuring low false detection rates and robustness in low-visibility conditions.

Object Detection, State Space Model, Multi-Scale Attention, Knowledge Distillation

Patent

Method for acquiring return point, control device, unmanned aerial vehicle, and unmanned aerial vehicle control system

Patent published on the 2026-06-04 in WO under Ref WO2026112984 by ARASHI VISION INC [CN] (Ji Jingjing [cn], Peng Yang [cn], Hao Shiqi [cn], Zhang Heng [cn])

Abstract: The present embodiments disclose a method for acquiring a return point, a control device, an unmanned aerial vehicle, and an unmanned aerial vehicle control system. The method for acquiring a return point comprises: determining a return point of an unmanned aerial vehicle on the basis of at least one among a preset number of states of a target control device, the target control device comprising at least one of a first control device of the unmanned aerial vehicle and a second control device of [...]


Our summary: The method acquires a return point for unmanned aerial vehicles. It involves determining the return point based on states of a target control device. The target control device includes first and second control devices of the unmanned aerial vehicle.

return point, control device, unmanned aerial vehicle, control system

Patent

Unit of one manufacturing of a garment

Patent published on the 2026-06-04 in US under Ref US20260153854 by RESONANCE COMPANIES LLC [US] (Lenihan Lawrence [us], Gheorghe Christian [us])

Abstract: Unit of one manufacturing of a garment includes remote sensing an identity of a fabric component of a garment at a manufacturing apparatus of a garment manufacturing system, retrieving a unique identifier for the remotely sensed identity and transmitting a query to a process management platform with the unique identifier so as to receive in response, a set of manufacturing parameters within a digital artifact for the garment that are specific to the manufacturing apparatus. Unit of one manufactu[...]


Our summary: The unit of one manufacturing of a garment involves identifying fabric components using remote sensing. It retrieves a unique identifier to query a process management platform for specific manufacturing parameters. Observed metrics during operation are recorded and sent back to enhance the digital artifact.

garment manufacturing, remote sensing, process management, digital artifact

Patent

Dynamic hazard detection and demarcation in a factory

Patent published on the 2026-06-03 in EP under Ref EP4752852 by MILANO POLITECNICO [IT] (Urgo Marcello [it], Berardinucci Francesco [it])

Abstract: The dynamic demarcation of danger zones in a factory floor includes remote sensing an arrangement of objects on the factory floor, such as a proximity of one object to another object on the factory floor, or a proximity of an object on the factory floor to a location at which a human is proximate. Dynamic demarcation also includes determining a risk factor for the arrangement. Dynamic demarcation additionally includes comparing the risk factor to a threshold value. Finally, dynamic demarcation i[...]


Our summary: Dynamic hazard detection involves monitoring object arrangements on the factory floor. It assesses risk factors based on proximity to humans and other objects. When risks exceed a threshold, boundaries are established to enhance safety.

hazard detection, dynamic demarcation, remote sensing, risk assessment

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:&amp;nbsp;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

Publication

Topics covered: Precision agriculture, advanced technologies, data analytics, crop production, resource management, remote sensing, geographic information systems, variable rate application, sensor networks, yield mapping, precision irrigation, site-specific fertilization, environmental sustainability, agronomy, engineering, data science, decision-making, operational efficiency, ISO 18400, ISO 50001, ISO 14001, ISO 9001, and ISO/IEC 17025..

Glossary of Terms Used

Geographic Information System (GIS): a system designed to capture, store, analyze, manage, and visualize spatial or geographic data, enabling users to interpret patterns and relationships in the data through maps and other visual representations.

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