AN IOT-ENABLED CROP PROTECTION SYSTEM AND METHOD THEREOF

Abstract

The present invention relates to an iot-enabled crop protection system and method thereof. The present invention comprises a network of interconnected sensors configured to monitor real-time parameters essential for crop protection, a plurality of Actuators configured to respond to system directives and perform irrigation, pesticide application, and environmental adjustments, and a central cloud-based platform that receives data from the sensors, processes it, and enables remote monitoring and control. Accompanied Drawing [FIG. 1]

Specification

Description:[001] The invention, in general, relates to the field of artificial intelligence (AI). More specifically, the present invention relates to an iot-enabled crop protection system and method thereof.
BACKGROUND OF THE INVENTION
[002] The following description provides the information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] Agriculture faces numerous challenges in effectively protecting crops from pests, diseases, and environmental stressors while optimizing resource use and maintaining sustainability. Traditional crop protection methods often rely on periodic inspections, broad-spectrum pesticide applications, and manual irrigation practices, which can be inefficient, costly, and environmentally damaging.
[004] Traditional methods lack the capability for continuous, real-time monitoring , Claims:1. An IoT-enabled crop protection system designed for enhanced management of crops, comprising:
A network of interconnected sensors configured to monitor real-time parameters essential for crop protection, including soil moisture, temperature, humidity, and pest activity;
A plurality of Actuators configured to respond to system directives and perform targeted actions, such as irrigation, pesticide application, and environmental adjustments;
A central cloud-based platform that receives data from the sensors, processes it, and enables remote monitoring and control.

2. A crop protection system as claimed in claim 1, wherein the sensors transmit data in real time to the cloud-based platform via a wireless communication network.

3. A crop protection system as claimed in claim 1, further comprising a machine learning module hosted on the cloud platform that analyses historical and real-time sensor data to identify patterns and predict potential threats, including pest infestations, diseases, and environmen

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