Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 229, P. 109778 - 109778
Published: Dec. 13, 2024
Language: Английский
Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 229, P. 109778 - 109778
Published: Dec. 13, 2024
Language: Английский
Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 1977 - 1977
Published: Nov. 4, 2024
Neuromorphic computing has received more and attention recently since it can process information interact with the world like human brain. Agriculture is a complex system that includes many processes of planting, breeding, harvesting, processing, storage, logistics, consumption. Smart devices in association artificial intelligence (AI) robots Internet Things (IoT) systems have been used also need to be improved accommodate growth computing. great potential promote development smart agriculture. The aim this paper describe current principles neuromorphic technology, explore examples applications agriculture, consider future route synapses, neurons, neural networks (ANNs). A expected improve agricultural production efficiency ensure food quality safety for nutrition health agriculture future.
Language: Английский
Citations
14Biosensors, Journal Year: 2025, Volume and Issue: 15(1), P. 53 - 53
Published: Jan. 15, 2025
The increasing demand for smart agriculture has led to the development of agricultural sensor technology. Wearable sensors show great potential monitoring physiological and surrounding environmental information plants due their high flexibility, biocompatibility, scalability. However, wearable face several challenges that hinder large-scale practical application. In this review, we summarize current research status plant by analyzing classification, working principles, materials, structural design discussing multifunctional applications. More importantly, comment on provide our perspectives further improving sensitivity, reliability, stability future agriculture.
Language: Английский
Citations
1Agriculture, Journal Year: 2025, Volume and Issue: 15(3), P. 234 - 234
Published: Jan. 22, 2025
Agricultural sustainability is becoming more and important for human health. Wireless sensing technology could provide smart monitoring in real time different parameters planting, breeding, the food supply chain with advanced sensors such as flexible sensors; wireless communication networks third-, fourth-, or fifth-generation (3G, 4G, 5G) mobile networks; artificial intelligence (AI) models. Many sustainable, natural, renewable, recycled facility energies light, wind, water, heat, acoustic, radio frequency (RF), microbe that exist actual agricultural systems be harvested by self-powered technologies devices using solar cells, electromagnetic generators (EMGs), thermoelectric (TEGs), piezoelectric (PZGs), triboelectric nanogenerators (TENGs), microbial full cells (MFCs). Sustainable energy harvesting to maximum extent possible lead creation of sustainable devices, reduce carbon emissions, result implementation precision monitoring, management, decision making production. Therefore, this article suggests proposing developing a system agriculture (SAS) would an effective way improve production efficiency while achieving green and, finally, ensuring quality safety
Language: Английский
Citations
1Plants, Journal Year: 2025, Volume and Issue: 14(6), P. 865 - 865
Published: March 10, 2025
Plants face an array of environmental stresses, including both abiotic and biotic stresses. These stresses significantly impact plant lifespan reduce agricultural crop productivity. Abiotic such as ultraviolet (UV) radiation, high low temperatures, salinity, drought, floods, heavy metal toxicity, etc., contribute to widespread losses globally. On the other hand, those caused by insects, fungi, weeds, further exacerbate these challenges. stressors can hinder systems at various levels, molecular, cellular, development processes. To overcome challenges, multi-omics computational approaches offer a significant tool for characterizing plant’s biomolecular pool, which is crucial maintaining homeostasis signaling response changes. Integrating multiple layers omics data, proteomics, metabolomics, ionomics, interactomics, phenomics, simplifies study resistance mechanisms. This comprehensive approach enables regulatory networks pathway maps, identifying potential targets improving through genetic engineering or breeding strategies. review highlights valuable insights from integrating unravel stress responses factors. By decoding gene regulation transcriptional networks, techniques reveal critical mechanisms underlying tolerance. Furthermore, role secondary metabolites in bio-based products enhancing mitigation discussed. Genome editing tools promising strategies resilience, evidenced successful case studies combating stressors. whole, this extensively discusses advanced that aids understanding molecular basis developing novel improve crops’ organisms’ resilience
Language: Английский
Citations
1Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 226, P. 109449 - 109449
Published: Sept. 21, 2024
Language: Английский
Citations
4Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 15
Published: Jan. 7, 2025
As the source of data acquisition, sensors provide basic support for crop planting decision management and play a foundational role in developing smart planting. Accurate, stable, deployable on-site make intelligent monitoring various scenarios possible. Recent breakthroughs plant advanced rapid development manufacturing artificial intelligence (AI) have driven towards miniaturization, intelligence, multi-modality. This review outlines key technologies new sensors, such as micro-nano technology, flexible electronics micro-electromechanical system technology. The latest technological frontiers trends sensor principles, fabrication processes, performance parameters soil different segmented are systematically expounded. Finally, future opportunities, challenges, prospects discussed. We anticipate that introducing like nanotechnology AI will rapidly radically revolutionize accuracy agricultural leading to levels innovation.
Language: Английский
Citations
0ACS Sensors, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 12, 2025
Large-area, flexible pyroelectric sensors have received increasing attention in a range of applications including electronic skin, robotics, and military. However, existing struggle to achieve both high performance excellent mechanical properties simultaneously. Here, we propose universal island-bridge percolation structure inspired by the electric organ ray that can enable nonpyroelectric substrates with generate effect. The network made particles (island) carboxyl-functionalized multiwalled carbon nanotubes (bridge) achieved transmission superposition effect through film polarization sensor based on not only inherits but also substrates. fabricated from polydimethylsiloxane (PDMS) exhibit good reliability even under 30% tensile rate 5,000 tensile-retraction cycles, those polyimide (PI) serve as skin for robots detect heat sources possess infrared sensing maximum distance 8 cm. This study provides ideas fabricate highly high-performance properties.
Language: Английский
Citations
0Sensors, Journal Year: 2025, Volume and Issue: 25(4), P. 1118 - 1118
Published: Feb. 12, 2025
Today, innovative engineering solutions, including IoT devices, enable the precise monitoring of plant health and early detection diseases. However, lifespan devices used for real-time environmental or parameters in precision agriculture is typically only a few months, from planting to harvest. This short creates challenges managing e-waste generated by smart agriculture. One potential solution reduce volume impact use more environmentally friendly biodegradable materials replace non-degradable components (substrates) currently structure devices. In this study, we estimate electromagnetic properties at 2565 MHz leaves three widely grown crops: winter wheat, corn, sunflower. We found that wheat sunflower have values real part relative permittivity ranging about 33 69 (wheat) 13 32 (sunflower), respectively, while corn exhibits value 33.5. Our research indicates position leaf on stem its distance soil significantly affect These relationships, however, are not evident leaves.
Language: Английский
Citations
0Optics & Laser Technology, Journal Year: 2025, Volume and Issue: 188, P. 112991 - 112991
Published: April 18, 2025
Language: Английский
Citations
0Journal of Materials Chemistry A, Journal Year: 2024, Volume and Issue: 12(34), P. 22396 - 22416
Published: Jan. 1, 2024
Recent advances in wearable electrochemical bioelectronics offer promising solutions for sensitive, real-time detection of biomarkers agriculture.
Language: Английский
Citations
3