Implementation of pest sensing system on commercial sprayer for intelligent spraying

The conventional approach of applying agro-chemicals uniformly to control pests in the potato field may not be the most efficient solution. The non-uniform distribution of pests and weeds necessitated site-specific management utilizing variable-rate and real-time spraying. To this end, a project is currently underway to implement of camera and detection pest algorithm as sensing system on commercial sprayer like the Case IH 3340, owned by McCain Foods, thereby enabling intelligent spraying. The implementation of a standardized communication system based on ISO protocol will connect the sensing system with the electronic components mounted already on the sprayer. The project aims to evaluate the instantaneous response of the spraying to the commands received from the sensing system to increase both –cost-effectiveness and environmental friendliness. This innovative approach has the potential to revolutionize the farming industry and represent a significant step forward in the optimization of agricultural production.

Faculty Supervisor:

Ahmad Al-Mallahi

Student:

Partner:

McCain Foods

Discipline:

Engineering

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

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