Mar 05, 2024
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Completed
How to Use Computer Vision in Agriculture for Detecting Diseased Banana Leaves
$50,000+
4-6 months
Germany
2-5
Service categories
Service Lines
AR & VR
Artificial Intelligence
Domain focus
Other
Programming language
Python
Subcategories
Artificial Intelligence
Deep Learning
Machine Learning
Challenge
The client was concerned about the possibility of using computer vision in agriculture to detect plant disease and prevent crop loss automatically. On the tech side of things, our team faced a scarcity of data available to train AI-based computer vision solutions.
The client was concerned about the possibility of using computer vision in agriculture to detect plant disease and prevent crop loss automatically. On the tech side of things, our team faced a scarcity of data available to train AI-based computer vision solutions.
Solution
We came up with a solution to place cameras in the greenhouse which take periodic snapshots of banana seedlings. The client can adjust the frequency of these snapshots.
Deep learning for object detection and classification:
Timspark made a computer vision software module that grabs pictures of the leaves spotted by the camera. These pictures later get sent to the deep learning classifier model, which has a closer look at images and tells if a banana leaf is healthy or damaged. It can even figure out what kind of damage it is.
Plant condition reports and analytics:
Our computer vision software checks out the uploaded pictures and generates a PDF with the results. It further gives recommendations on what to do next based on the analyzed data.
We came up with a solution to place cameras in the greenhouse which take periodic snapshots of banana seedlings. The client can adjust the frequency of these snapshots.
Deep learning for object detection and classification:
Timspark made a computer vision software module that grabs pictures of the leaves spotted by the camera. These pictures later get sent to the deep learning classifier model, which has a closer look at images and tells if a banana leaf is healthy or damaged. It can even figure out what kind of damage it is.
Plant condition reports and analytics:
Our computer vision software checks out the uploaded pictures and generates a PDF with the results. It further gives recommendations on what to do next based on the analyzed data.
Results
Timspark didn’t just create and tweak the classifier model; we did it thoroughly, making sure it fits the project’s special needs and industry standards. The client is satisfied with the outcome and still partners with us on more projects to facilitate computer vision in agriculture.
Timspark didn’t just create and tweak the classifier model; we did it thoroughly, making sure it fits the project’s special needs and industry standards. The client is satisfied with the outcome and still partners with us on more projects to facilitate computer vision in agriculture.