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Precision Poultry Farming Using Iot And Ai

Abstract: The system for Precision Poultry Farming utilizing the combined power of the Internet of Things (IoT) and Artificial Intelligence (AI). The system encompasses a comprehensive network of sensors strategically placed within poultry sheds to continuously monitor both environmental and bird-related parameters. Environmental data covers temperature, humidity, ammonia and carbon dioxide levels, power consumption, and fan functionality. Bird-related monitoring includes automated body weight measurements, water quality analysis, thermal imaging for body temperature, and detection of physical abnormalities like lameness, swollen wattles, and curled toes. Additionally, the system analyzes chick vocalizations to identify early signs of ill health. A robust data communication infrastructure ensures real-time data collection, while an analytical dashboard equipped with machine learning algorithms processes the data and triggers early-warning alerts for abnormal conditions and potential health issues in the poultry flock. This system empowers farmers to make data-driven decisions for optimizing environmental conditions, preventing disease outbreaks, and ensuring the health and productivity of their poultry through precise real-time monitoring and AI-powered insights.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
14 February 2024
Publication Number
10/2024
Publication Type
INA
Invention Field
MECHANICAL ENGINEERING
Status
Email
Parent Application

Applicants

MLIT-SOL PRIVATE LIMITED
Flat No: 201, Sairam Homes, Near Chaitanya College, Balaji Nagar, Kukatpally, Hyderabad, Telangana, India

Inventors

1. Srinivas Chindam
MLIT-SOL PRIVATE LIMITED, Flat No:201, Sairam Homes, Near Chaitanya College, Balaji Nagar, Kukatpally, Hyderabad, Telangana – 500072, India

Specification

Description:The system for Precision Poultry Farming utilizing the combined power of the Internet of Things (IoT) and Artificial Intelligence (AI). The system encompasses a comprehensive network of sensors strategically placed within poultry sheds to continuously monitor both environmental and bird-related parameters. Environmental data covers temperature, humidity, ammonia and carbon dioxide levels, power consumption, and fan functionality. Bird-related monitoring includes automated body weight measurements, water quality analysis, thermal imaging for body temperature, and detection of physical abnormalities like lameness, swollen wattles, and curled toes. Additionally, the system analyzes chick vocalizations to identify early signs of ill health. A robust data communication infrastructure ensures real-time data collection, while an analytical dashboard equipped with machine learning algorithms processes the data and triggers early-warning alerts for abnormal conditions and potential health issues in the poultry flock. This system empowers farmers to make data-driven decisions for optimizing environmental conditions, preventing disease outbreaks, and ensuring the health and productivity of their poultry through precise real-time monitoring and AI-powered insights. , Claims:The system for Precision Poultry Farming utilizing the combined power of the Internet of Things (IoT) and Artificial Intelligence (AI). The system encompasses a comprehensive network of sensors strategically placed within poultry sheds to continuously monitor both environmental and bird-related parameters. Environmental data covers temperature, humidity, ammonia and carbon dioxide levels, power consumption, and fan functionality. Bird-related monitoring includes automated body weight measurements, water quality analysis, thermal imaging for body temperature, and detection of physical abnormalities like lameness, swollen wattles, and curled toes. Additionally, the system analyzes chick vocalizations to identify early signs of ill health. A robust data communication infrastructure ensures real-time data collection, while an analytical dashboard equipped with machine learning algorithms processes the data and triggers early-warning alerts for abnormal conditions and potential health issues in the poultry flock. This system empowers farmers to make data-driven decisions for optimizing environmental conditions, preventing disease outbreaks, and ensuring the health and productivity of their poultry through precise real-time monitoring and AI-powered insights.

Documents

Application Documents

# Name Date
1 202441010230-STATEMENT OF UNDERTAKING (FORM 3) [14-02-2024(online)].pdf 2024-02-14
2 202441010230-REQUEST FOR EARLY PUBLICATION(FORM-9) [14-02-2024(online)].pdf 2024-02-14
3 202441010230-PROOF OF RIGHT [14-02-2024(online)].pdf 2024-02-14
4 202441010230-POWER OF AUTHORITY [14-02-2024(online)].pdf 2024-02-14
5 202441010230-FORM-9 [14-02-2024(online)].pdf 2024-02-14
6 202441010230-FORM FOR STARTUP [14-02-2024(online)].pdf 2024-02-14
7 202441010230-FORM FOR SMALL ENTITY(FORM-28) [14-02-2024(online)].pdf 2024-02-14
8 202441010230-FORM 1 [14-02-2024(online)].pdf 2024-02-14
9 202441010230-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [14-02-2024(online)].pdf 2024-02-14
10 202441010230-EVIDENCE FOR REGISTRATION UNDER SSI [14-02-2024(online)].pdf 2024-02-14
11 202441010230-DECLARATION OF INVENTORSHIP (FORM 5) [14-02-2024(online)].pdf 2024-02-14
12 202441010230-COMPLETE SPECIFICATION [14-02-2024(online)].pdf 2024-02-14