Development and Testing of a Smart Bin toward Automated Rearing of Black Soldier Fly Larvae

TL;DR

This paper presents a novel automated rearing system for Black Soldier Fly larvae that reduces manual labor by using smart sensors, aeration, and real-time monitoring, achieving comparable growth results to manual methods.

Contribution

The paper introduces a retrofit of existing BSF rearing bins with a smart lid system that automates aeration and monitoring, enhancing scalability and efficiency.

Findings

Automated system matches manual larvae growth performance.

Real-time bio-information improves rearing conditions.

Smart lid reduces manual labor in BSF farming.

Abstract

The Black Soldier Fly (BSF), can be an effective alternative to traditional disposal of food and agricultural waste (biowaste) such as landfills because its larvae are able to quickly transform biowaste into ready-to-use biomass. However, several challenges remain to ensure that BSF farming is economically viable at different scales and can be widely implemented. Manual labor is required to ensure optimal conditions to rear the larvae, from aerating the feeding substrate to monitoring abiotic conditions during the growth cycle. This paper introduces a proof-of-concept automated method of rearing BSF larvae to ensure optimal growing conditions while at the same time reducing manual labor. We retrofit existing BSF rearing bins with a "smart lid," named as such due to the hot-swappable nature of the lid with multiple bins. The system automatically aerates the larvae-diet substrate and provides bio-information of the larvae to users in real time. The proposed solution uses a custom aeration method and an array of sensors to create a soft real time system. Growth of larvae is monitored using thermal imaging and classical computer vision techniques. Experimental testing reveals that our automated approach produces BSF larvae on par with manual techniques.