Results 71 to 80 of about 35,037 (256)
Modern combine harvesters can collect real-time geolocated yield data, but it is subject to errors. Various protocols have been proposed to clean this data, each with varying levels of complexity.
Patricia Arizo-García +5 more
doaj +1 more source
Can digital farming technologies enhance the willingness to buy products from current farming systems? [PDF]
Wilmes R, Waldhof G, Breunig P.
europepmc +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Global impact of COVID-19 on agriculture: role of sustainable agriculture and digital farming. [PDF]
Sridhar A +4 more
europepmc +1 more source
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà +15 more
wiley +1 more source
Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network
As technology advances, so does digital farming, revolutionizing the industry. Drones, sprayers equipped with GPS and other sensors, combine harvesters, and other machinery can greatly improve agricultural productivity.
Qiang Guo +5 more
doaj +1 more source
Digital farming, invisible farmers
Digital technologies have been gradually penetrating agricultural production systems; specially, in the last two decades, generating both expectations and concerns because of the unknown technological scope and the speed of the transformations. While some sectors are enthusiastic on the potential of digital tools have to contribute efficiently in food ...
openaire +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming. [PDF]
Farber C, Kurouski D.
europepmc +1 more source
Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi +13 more
wiley +1 more source

