¬Novel Freshness Indication Packaging Technology for Frozen Shrimps

Korlepara, N S D Prakash; Chandra, G. Phani; Seshagiri, B.; Raju, V S N Narasimha; Veeraiah, N.; Pragaspathy, S.

doi:10.1109/icaeca52838.2021.9675565

Cited by 2 publications

(1 citation statement)

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“…The ESP32, an economical 32-bit microcontroller, comes equipped with built-in Bluetooth and Wi-Fi capabilities, rendering it particularly suitable for IoT applications [24]. Featuring 48 general-purpose input-output (GPIO) pins, it can seamlessly integrate multiple sensors and devices.…”

Section: Esp32mentioning

confidence: 99%

Real-Time Precision Irrigation System for Optimal Crop Yield and Water Conservation

Prakash Korlepara,

Narasimha Raju,

Satyanarayana

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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In contemporary farming, efficient water management plays a crucial role in achieving optimal crop yields, endorsing water conservation, and upholding ecological balance. Current irrigation systems often lack precision, resulting in water wastage, suboptimal plant growth, and environmental degradation. This issue is pronounced evident in piped and micro irrigation networks, where manual control fails to adapt to fluctuating soil moisture conditions. This inconsistency in water distribution negatively affects agricultural yield and water conservation efforts. The core problem is the absence of an automated mechanism to regulate water release based on real-time soil moisture and centralised monitoring system. To tackle this, we’ve developed a real-time unified monitoring platform for automatic regulation of water release valves. Through the integration of soil moisture sensors, monitoring systems, and decision-making processes, our solution addresses the gap between water supply and crop demand, enhancing resource utilization and minimizing environmental impact. The amalgamation of instantaneous soil moisture information from various sensors into a centralized dashboard demands robust mechanisms for data collection, transmission, and processing. This real-time model, which unequivocally scrutinizes soil moisture data and associated parameters, significantly contributes to informed decisions concerning the timing and volume of water release.

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Section: Esp32mentioning

confidence: 99%