IoT-Driven Precision Farming: Enhancing Crop Yield and Sustainability Through Real-Time Data Analytics
Precision farmers are enhancing crop yields and crop life through the implementation of IoT-based agricultural management. This investigation investigates the methods by which precision farmers are employing Internet of Things (IoT) devices for real-time crop management through data collection, analysis, and decision-making. The impact of IoT on soil moisture, nutrient levels, and ambient conditions is investigated in this study using a sensor network, drones, and smart irrigation systems. Yield, resource efficacy, and cost-effectiveness are significantly enhanced in comparison to conventional agricultural methods. The IoT is employed in precision farming to address current agricultural issues in novel ways. It accomplishes this by precisely regulating agricultural inputs and providing data analytics insights. According to the research, IoT technology has the potential to address the increasing global demand for food in a sustainable and environmentally favorable manner. The study scales and interoperate the IoT to advance precision farming.
Authors
- Resmi R. Nair (ORCID: https://orcid.org/0000-0003-3733-0487)
- R Hema
- Laldinpuia Laldinpuia
- Rayappan Lotus
- Y P Ragini
- J. P. (ORCID: https://orcid.org/0009-0007-2333-9954)
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- Mizoram University (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icses63760.2024.10910662
- Citations
- 1
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.60