Achievements

ICAR-Central Institute of Freshwater Aquaculture

Development of SMART POND

SMART Pond Components:
1. Mechanised Pond Applicator
2. Water Quality Sensor (ICAR-CIFRI)
3. Smart Aerator
4. CIFA Smart PondFeeder
5. CIFA AquaMegh Cloud & App

CIFA Smart PondFeeder

CIFA Smart PondFeeder is a viable solution to address feed optimization in pond-based commercial aquaculture. By automating feed dispensation, this innovative device helps reduce costs, improve feed efficiency, and enhance sustainability.Feeder capacity is 100kg and 1-4 mm size feed can be dispensed and feed can be dispensed for any desired quantity and time. It is Solar-Powered, has 5G Router
that ensures reliable, high-speed connectivity for data transfer. there is an Integrated IP camera that monitors fish and feeding activity and gives informed decisions and timely issue resolution. It also allows IoT Integration and Remote Monitoring to manage feeding activities remotely.It is monitored and controlled via CIFA AquaMegh App (Android & iOS).

CIFA Smart RASFeeder

CIFA Smart RASFeeder optimizes feed management in RAS, BioFloc, koi ponds and Ornamental fish rearing tanks. This innovative device uses a programmable IoT-driven mechanism to dispense feed at set intervals, ensuring precise and consistent feeding schedules. Optimize feeding management, minimize feed wastage, reduce labour costs, and enhance sustainability in aquaculture operations. It integrates with a centralized data management console, allowing remote scheduling and monitoring via CIFA AquaMegh App (Android & iOS).

CIFA Smart AquariumFeeder

CIFA Smart AquariumFeeder addresses feed optimization in aquariums with a programmable IoT-driven mechanism. It ensures precise and consistent feeding schedules, mostly used as vacation times. The device integrates with a centralized data management console for remote scheduling and monitoring via CIFA AquaMegh App (Android and iOS). Feeder capacity of this is 100 g and 0.1 mm to 1.0 mm size feed can be dispensed. It is a Rotator motor based feed dispenser, with which feed can be dispensed in any desired quantity and for any desired time.

Catfish – Recirculating Aquaculture System

Established recirculatory aquaculture system (RAS) for intensive seed production of catfishes. RAS hatchery facility was established with automated and energy-efficient filtration systems.
Rearing Tanks:

• Egg incubation and Larval rearing tanks: 16 tanks, (300-liter capacity), having water shower for egg incubation and hatchlings production
• Fry and Fingerlings rearing tanks: 15 tanks, each with a 500-liter capacity for fingerlings  production.

Automated Filtration System

System Efficiency:
• Ensures consistent water quality, reducing manual labour and enhancing operational efficiency. Automated filtration systems help in regular removal of sludge and suspended particles.
• Also, it minimizes the accumulation of nitrogenous wastes. Biological filter helps is efficient removal of anomia and nitrite.

Energy Efficiency:
• Low Energy Consumption: Utilizes a 0.5 hp recirculation pump operating 24/7 and additional motors running for just 30 seconds per hour depends upon the biomass of the rearing tanks.
• Cost-Effective: Consumes approximately 25 units of energy for 24-hour operation, significantly reducing operational costs.

Economic Feasibility:
• Demonstrates significant in water efficient, energy savings and high production potential, making it a highly economically feasible system for intensive seed production of high-value species.

CIFA AquaNIRNAY

CIFA AquaNIRNAY is an advanced Geospatial Decision Support System (DSS) designed to enhance aquaculture planning in India. Using high-resolution satellite imagery and machine learning algorithms, it offers critical insights into water body dynamics for sustainable aquaculture development.

Key Features:
Geospatial Visualization and Mapping:

  • Utilizes Sentinel 2A satellite data with advanced image classification on Google Earth Engine for precise mapping of water bodies.

Machine Learning Integration:

  • Employs machine learning models for automated feature extraction and classification of water bodies by size, improving accuracy and reliability.

Seasonal Dynamics Analysis:

  • Uses algorithms to classify water bodies into pre-monsoon and post-monsoon categories, aiding in understanding seasonal hydrological variations.

Hierarchical Access Control:

  • Implements hierarchical access control to manage user permissions within state fisheries departments and uses the CIFA AquaNIRNAY mobile app for ground truthing and data collection.

Benefits:
Comprehensive and Data-Driven Evaluation:

  • Assesses water body suitability based on retention periods and size classes, enabling the selection of optimal aquaculture sites through scientific and data-driven insights. This maximizes resource utilization and operational efficiency, ensuring sustainable growth and effective aquaculture planning.

Ultra High-Resolution Mapping of ICAR-CIFA Farm using Drones

Spectral Spectroscopy Drone imaging of CIFA farm complex has been completed with the support of Dr R.N. Sahoo, PI, NePPA, IARI, New Delhi for mapping and database creation. Another study on estimation of pond water chlorophyll content to develop models for prediction of Phosphorus, Nitrogen, and Carbon in water to provide advisories for pond management are under progress.