| Abstract | Abstract---Coconut farming requires continuous
monitoring of environmental parameters to ensure
high yield and sustainable management. Traditional
farming practices often rely on manual observation,
which is time-consuming and less accurate. This
paper presents a real-time IoT-based monitoring
system for coconut farms, integrated with the Blynk
application and weather insights. The proposed
system uses sensors to collect key parameters such as
soil moisture, temperature, humidity, and light
intensity. A NodeMCU microcontroller processes the
data and transmits it via Wi-Fi to the Blynk platform,
enabling farmers to remotely monitor and control
irrigation systems through their smartphones.
Additionally, weather monitoring and forecasting are
incorporated to provide predictive insights, allowing
better irrigation scheduling and crop management.
This smart system not only minimizes water usage
but also reduces labor costs and supports climateresilient farming practices. The integration of IoT
with Blynk and weather analytics thus enhances
productivity, promotes sustainable resource
utilization, and improves decision-making for
coconut farmers.
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