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

Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management

Journal of Sensor and Actuator Networks, Journal Year: 2024, Volume and Issue: 13(4), P. 39 - 39

Published: July 8, 2024

This paper explores the potential of smart crop management based on incorporation tools like digital agriculture, which considers current technological applied in such as Internet Things (IoT), remote sensing, and artificial intelligence (AI), to improve production efficiency sustainability. is essential context varying climatic conditions that affect availability resources for agriculture. The integration IoT sensor networks can allow farmers obtain real-time data their crops, assessing key health factors, soil conditions, plant water status, presence pests, environmental among others, finally result data-based decision-making optimize irrigation, fertilization, pest control. Also, this be enhanced by incorporating drones unmanned aerial vehicles (UAVs), increase monitoring capabilities through comprehensive field surveys high-precision growth tracking. On other hand, big analytics AI are crucial analyzing extensive datasets uncover patterns trends provide valuable insights improving agricultural practices. highlights advancements applications management, addressing challenges barriers global adoption these new types technologies emphasizing need ongoing research collaboration achieve sustainable efficient production.

Language: Английский

Calibration of Low-Cost Moisture Sensors in a Biochar-Amended Sandy Loam Soil with Different Salinity Levels

Sensors, Journal Year: 2024, Volume and Issue: 24(18), P. 5958 - 5958

Published: Sept. 13, 2024

With the increasing focus on irrigation management, it is crucial to consider cost-effective alternatives for soil water monitoring, such as multi-point monitoring with low-cost moisture sensors. This study assesses accuracy and functionality of sensors in a sandy loam (SL) amended biochar at rates 15.6 31.2 tons/ha by calibrating presence two nitrogen (N) potassium (K) commercial fertilizers three salinity levels (non/slightly/moderately) six contents. Sensors were calibrated across nine SL-soil combinations N K fertilizers, counting 21 treatments. The best fit content calibration was obtained using polynomial equations, demonstrating reliability R2 values greater than 0.98 each case. After second calibration, provide acceptable results concerning previous especially non- slightly saline treatments lower 0.17 cm

Language: Английский