AI-Powered Precision Farming: Mapping, Detection, Planning, and Spot Spraying (Old ID 31107)
Role
Principal Investigator
Description
High-tech solutions in agriculture offer many benefits for improved crop and land management. However, current methods rely heavily on human experts for monitoring and planning. To address this, we propose a state-of-the-art AI-based spraying strategy software that: • takes aerial images of the farm/land vegetation (using drones, planes, satellites, etc.) and detects field requirements, • generates a pre-spray map on GIS systems, considering the existing terrain topographies, • optimally plans the detailed spraying strategy and suggests one or a combination of proper spraying methods such as blanket, vehicular spot, or aerial spraying, and • whenever possible, effectively commands and controls appropriate devices to spray, such as drones, vehicles, people, etc. It might also receive feedback and correspondingly optimize the process/plan. This AI-Powered system helps farmers and producers precisely spray, saving costs and the environment.
Date
01 Sep 2023 - 29 Nov 2024
Project Type
GRANT
Keywords
Precision Farming;Spot Spraying;Planning;Machine Learning;Deep Learning
Funding Body
James Cook University
Amount
100000
Project Team
Alzayat Saleh;Nathan Waltham;Mostafa Rahimi Azghadi