Results 91 to 100 of about 99,945 (288)
Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah +7 more
wiley +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture
One of the main challenges for the implementation of artificial intelligence (AI) in agriculture includes the low replicability and the corresponding difficulty in systematic data gathering, as no two fields are exactly alike.
Quartulli, Marco +21 more
core +1 more source
In this study, we propose a biodegradable wireless soil urea sensor for precision agriculture. The sensor's electromagnetic response varies depending on the urea concentration, allowing the measurement of relative soil urea concentrations by analyzing the time‐transient electromagnetic response.
Yu Tanaami +5 more
wiley +1 more source
25 years Precision Agriculture in Germany – a retrospective
It all started with the availability of Global Positioning Systems for civil services in 1988. In the same year variable rate applications of fertilizers were demonstrated in northern Germany and Denmark, which were globally the first of their kind and ...
Lilienthal, Holger +2 more
core
Neighborhood Attention-Based Detection for Maize Traits in Precision Agriculture
Maize trait recognition plays a crucial role in agricultural production and breeding research; however, the adaptability of existing object detection methods in complex environments remains limited.
Yi Zhou +7 more
core +1 more source
Review of AI methods in precision agriculture [PDF]
This review analyzes the increasing adoption of Artificial Intelligence (AI) in precision agriculture, paying special attention to the advances in crop management brought by machine learning and deep learning technologies.
Meryem El Hou +5 more
doaj +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
IoT-enabled solar-powered smart irrigation for precision agriculture
The Internet of Things (IoT) can enable the fourth industrial revolution, significantly boosting production and efficiency in the agricultural sector by optimizing farming practices.
Md. Rasel Al Mamun +4 more
doaj +1 more source

