This project is from the team Monsoon, which was awarded with the Second Prize in the Global AI Innovation Challenge 2021 - Intelligent Weather Forecast for Better life.
Clorofish is a fishing area recommendation system based on chlorophyll-A concentration and meteorological parameters. We also provide information on sailing risks for fishermen.
Indonesia is an archipelagic country, 74.26% of its territory is the ocean. This makes more than 2 million Indonesians work as fishermen. With this vast sea area, it certainly has very abundant marine resources. However, according to the Ministry of Maritime Affairs and Fisheries in 2020, fisheries production in Indonesia has only reached 7.5 million tons; this is quite far from the estimated potential for fisheries production which should be 12.53 million tons. Furthermore, Indonesian territories with high LQ (Location Quotient) value for the fishing industry unfortunately have low production volume instead.
We came up with an idea to help fishermen to maximize fish catches and minimize operating costs by recommending good fishing spots and providing sailing risk matrix map. This is done by combining meteorology, oceanography, and artificial intelligence technology. The fishing spots recommendation is based on the meteorological parameters and chlorophyll-A concentration, which is one of the indicators for phytoplankton abundance. Phytoplankton are essential sources of food for fishes. To predict chlorophyll-A based on meteorological parameters, we use Deep Neural Network. As for predicting the sea wave height and wind speed in certain region for the next day, we use Recurrent Neural Network. It will then be classified by Deep Neural Network as a sailing risk for certain region.
In this Clorofish prototype, we created an information system based on telegram bot. Our service is built using Django framework, Telegram Bot API, and using postgreSQL as database.
We used ECS to run our back-end system so that it can be enjoyed by all Telegram users wherever they are for 24 hours.
To support the system, we used the ApsaraDB database service to get more secure data security.
In this future application development, it’s possible that we will explore using other Alibaba Cloud services such as PAI, MaxCompute, Big Data systems, security, or other services to support our system services.
Hello, we are the Monsoon Team, consisting of three Indonesian youth coming from three different background studies: Instrumentation, Meteorology, and Computer Science. We work on this Clorofish project by combining our background study into interdisciplinary application.
Project Showcase | Global Flight Delay Prediction Using Machine Learning
113 posts | 21 followers
FollowAsiaStar Focus - July 1, 2022
Alibaba Cloud MaxCompute - September 18, 2019
Alibaba Clouder - September 30, 2019
Alibaba-Cloud-GTS - August 25, 2021
Alibaba Clouder - January 9, 2017
Alibaba Clouder - April 1, 2021
113 posts | 21 followers
Follow
1688 Cloud Hub Solution
Alibaba Cloud 1688 Cloud Hub is a cloud-based solution that allows you to easily interconnect your 1688.com store with your backend IT systems across different geographic regions in a secure, data-driven, and automated approach.
Learn More
Cloud Migration Hub
Cloud Migration Hub (CMH) provides automatic and intelligent system surveys, cloud adoption planning, and migration management for you to perform migration to Alibaba Cloud.
Learn More
Personalized Content Recommendation Solution
Help media companies build a discovery service for their customers to find the most appropriate content.
Learn More
AIRec
A high-quality personalized recommendation service for your applications.
Learn MoreMore Posts by Alibaba Cloud Project Hub
