AGRICULTURAL SURVEILLANCE SYSTEM

Abstract

ABSTRACT An agricultural surveillance system (100), the system (100) comprising: a body (102) comprising: a plurality of sensors (104) configured to detect different parameters associated with the surroundings of the body (102); a camera module (106) for capturing images of the field; a processor (108) communicatively coupled with the plurality of sensors (104) and the camera module (106), wherein the processor (108) is configured to: receive data from the plurality of sensors (104) and images from the camera module (106), analyze the data and images using machine learning (ML) algorithms, and determine the presence of conditions requiring intervention; and transmit the processed data to a remote database for further analysis and decision-making. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of agricultural surveillance technologies and, more specifically, to a surveillance system designed to monitor agricultural fields by integrating sensor technologies, image processing, and automated response mechanisms.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Traditional agricultural surveillance methods typically rely on manual observation or simplistic camera setups, often resulting in delayed responses to issues such as pest , Claims:1. An agricultural surveillance system (100), the system (100) comprising:
a body (102) comprising:
a plurality of sensors (104) configured to detect different parameters associated with the surroundings of the body (102);
a camera module (106) for capturing images of the field;
a processor (108) communicatively coupled with the plurality of sensors (104) and the camera module (106), wherein the processor (108) is configured to:
receive data from the plurality of sensors (104) and images from the camera module (106),
analyze the data and images using machine learning (ML) algorithms, and
determine the presence of conditions requiring intervention; and
transmit the processed data to a remote database for further analysis and decision-making.

2. The system (100) as claimed in claim 1, wherein the plurality of sensors (104) includes a proximity sensor, infrared sensor, and ultrasonic sensor.

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