DropLeaf - Spraying Meter
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About this app
DropLeaf - Spraying Meter™ automatically measures the efficacy of spraying methods and nozzles using images of water-sensitive papers (WSP) either captured from a smartphone or loaded from the photo gallery.
If you are using our application, please cite us:
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture. Volume 180, 105906, January 2021.
Full paper: http://brunobrandoli.com/assets/papers/2021DROPLEAF.pdf
and
A smartphone application to measure the quality of pest control spraying machines via image analysis. SAC '18 Pages 956-963. Proceedings of the 33rd Annual ACM Symposium on Applied Computing. 2018.
Full paper: http://dropleaf.icmc.usp.br/paper/2017DROPLEAF.pdf
Key-features:
• Automatic and accurate quantification of the spray cards.
• Suitable for several kinds of water-sensitive papers.
• A 4-language interface available for Android.
• Useful on the adjustment and on the assessment of pesticide spraying machines.
DropLeaf - Spraying Meter™ was developed by researchers from the Dalhousie University, University of São Paulo, in collaboration with researchers of the Federal University of Mato Grosso do Sul.
Contact:
If you have any questions or suggestions, please send us an email at upvisiongroup@gmail.com or to Prof. Bruno Brandoli at brunobrandoli@gmail.com. Your feedback is very important to improving our app. We are open to collaboration.
If you are using our application, please cite us:
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. Computers and Electronics in Agriculture. Volume 180, 105906, January 2021.
Full paper: http://brunobrandoli.com/assets/papers/2021DROPLEAF.pdf
and
A smartphone application to measure the quality of pest control spraying machines via image analysis. SAC '18 Pages 956-963. Proceedings of the 33rd Annual ACM Symposium on Applied Computing. 2018.
Full paper: http://dropleaf.icmc.usp.br/paper/2017DROPLEAF.pdf
Key-features:
• Automatic and accurate quantification of the spray cards.
• Suitable for several kinds of water-sensitive papers.
• A 4-language interface available for Android.
• Useful on the adjustment and on the assessment of pesticide spraying machines.
DropLeaf - Spraying Meter™ was developed by researchers from the Dalhousie University, University of São Paulo, in collaboration with researchers of the Federal University of Mato Grosso do Sul.
Contact:
If you have any questions or suggestions, please send us an email at upvisiongroup@gmail.com or to Prof. Bruno Brandoli at brunobrandoli@gmail.com. Your feedback is very important to improving our app. We are open to collaboration.
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What's new
- Performance improvement: Optimizations have been implemented resulting in better overall performance of OpenCV, providing a faster and more efficient experience for users.
- Minor bug fixes: Several minor bugs have been fixed, enhancing the stability and reliability of OpenCV.
- Minor bug fixes: Several minor bugs have been fixed, enhancing the stability and reliability of OpenCV.