Revolutionizing Agriculture through IoT Integration with AgriTechNet for Enhanced Sustainability and Productivity in Farming
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Abstract
This research paper is a detailed discussion of AgriTechNet, which is a comprehensive system of agricultural management, using sensor-driven monitoring equipment to improve the level of decision-making in precision farming. The process of implementing a multi-parametric sensor array can record real-time data on soil moisture, pH levels of the soil, surrounding humidity and temperature, and plant health factors such as the Normalized Difference Vegetation Index (NDVI). Between December 5th, 2023, and January 1st, 2024, the data underwent a thorough analytical procedure to generate actionable information. The results reported here demonstrate the strong potential of the proposed "AgriTechNet" to sustain the average decision-making latency below 1.5 seconds with the system remarkably adjusting to changing environmental data. The important in the plan of irrigation, humidity levels were observed showing oscillations between 40 percent and 90 percent, encouraging dynamic water management reactions. NDVI measurements showed differences that point out to plant health changes, where the range is within -0.6 to 0.8, to inform interventions. The Predicted yield analysis had a maximum of 8 tons/ha indicating the possibility of improving crop productivity via accurate agricultural activities. The soil moisture content measurement played an essential role in irrigation scheduling, and it ranged in measurements between 20 and 80 percent, whereas the soil pH level, which was between 5 and 8, was of use in soil conditioning processes. The analysis of temperature, 15C-35C, was important in the planning of phenology. The proposed system, AgriTechNet has shown an immense improvement over the conventional approaches, which justifies the effectiveness of IoT-based technology in sustainable farming.
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