A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints

Agriculture, Journal Year: 2024, Volume and Issue: 14(7), P. 1141 - 1141

Published: July 14, 2024

Water is considered one of the vital natural resources and factors for performing short- long-term agricultural practices on Earth. Meanwhile, globally, most available freshwater are utilized irrigation purposes in agriculture. Currently, many world regions facing extreme water shortage problems, which can worsen if not managed properly. In literature, numerous methods remedies used to cope with increasing global crises. The use precision water-saving systems (PISs) efficient management under climate change them a highly recommended approach by researchers. It mitigate adverse effects changing help enhance efficiency, crop yield, environmental footprints. Thus, present study aimed comprehensively examine review PISs, focusing their development, implementation, positive impacts sustainable management. addition, we searched literature using different online search engines reviewed summarized main results previously published papers PISs. We discussed traditional method its modernization enhancing PIS monitoring controlling, architecture, data sharing communication technologies, role artificial intelligence water-saving, future prospects PIS. Based brief review, concluded that PISs seems bright, driven need systems, technological advancements, awareness. As scarcity problem intensifies due population growth, poised play critical optimizing modernizing usage, reducing footprints, thus ensuring agriculture development.

Language: Английский

---

Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis

ACS Synthetic Biology, Journal Year: 2024, Volume and Issue: 13(6), P. 1600 - 1620

Published: June 6, 2024

Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentional and continuous exposure to antibiotics, as well challenges in accurate contagion diagnostics. Addressing AMR requires strategic approach that emphasizes early stage prevention through screening clinical, environmental, farming, livestock settings identify nonvulnerable antimicrobial agents the associated genes. Conventional diagnostics, like antibiotic susceptibility testing, possess drawbacks, including high costs, time-consuming processes, significant manpower requirements, underscoring need for intelligent, prompt, on-site diagnostic techniques. Nanoenabled artificial intelligence (AI)-supported smart optical biosensors present potential solution by facilitating rapid point-of-care detection with real-time, sensitive, portable capabilities. This Review comprehensively explores various types of nanobiosensors, such surface plasmon resonance sensors, whispering-gallery mode coherence tomography, interference reflection imaging surface-enhanced Raman spectroscopy, fluorescence microring tweezer biosensors, By harnessing unique advantages these nanoenabled revolutionary paradigm shift diagnostics can be achieved, characterized results, sensitivity, portability, integration Internet-of-Things (IoT) technologies. Moreover, enable personalized monitoring detection, significantly reducing turnaround time eliminating human resources needed sample preservation transportation. Their holistic environmental surveillance further enhances capabilities diverse settings, leading improved modern-age healthcare practices more effective management treatments. Embracing advanced tools promises bolster capacity combat safeguard Health.

Language: Английский

---

Advancing Optical Nanosensors with Artificial Intelligence: A Powerful Tool to Identify Disease-Specific Biomarkers in Multi-omics Profiling

Talanta, Journal Year: 2025, Volume and Issue: 287, P. 127693 - 127693

Published: Feb. 4, 2025

Language: Английский

---

Digital technologies for water use and management in agriculture: Recent applications and future outlook

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 309, P. 109347 - 109347

Published: Feb. 2, 2025

Language: Английский

---

Revolutionizing Crop Monitoring: AI-Driven Machine Vision for Real-time Adaptive Harvesting and Loss Mitigation

Irish Interdisciplinary Journal of Science & Research, Journal Year: 2024, Volume and Issue: 08(02), P. 132 - 140

Published: Jan. 1, 2024

The research on implementing management strategies for crops that utilize the ESP32-CAM microcontroller to mitigate losses during harvesting process. capabilities of in image processing and data transmission are utilized construct a live monitoring system agricultural fields. Using analysis machine learning algorithms, can identify maturity crops, presence pests, environmental conditions. It then provides practical advice help make timely decisions about when harvest. In addition, serves as tool remote surveillance management, enhancing efficiency farmers' activities enabling mitigation harvesting. highlights integration IoT technology with crop techniques contemporary precision agriculture, resulting improved sustainability production.

Language: Английский

---

An intelligent device with double fluorescent carbon dots based on smartphone for visual and point-of-care testing of Copper(II) in water and food samples

Food Chemistry X, Journal Year: 2024, Volume and Issue: 24, P. 101834 - 101834

Published: Sept. 16, 2024

Language: Английский

---

Assessing the Importance and Need of Artificial Intelligence for Precision Agriculture

Published: Jan. 1, 2024

Language: Английский

---