DropLeaf - Spraying Meter
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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.
Oxirgi yangilanish
Xavfsizlik — dastur ishlab chiquvchilar maʼlumotlaringizni qanday jamlashi va ulashishini tushinishdan boshlanadi. Maʼlumotlar maxfiyligi va xavfsizlik amaliyotlari ilovadan foydalanish, hudud va yoshga qarab farq qilishi mumkin. Bu axborot dastur ishlab chiquvchi tomonidan taqdim etilgan va keyinchalik yangilanishi mumkin.
Nima yangiliklar
- 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.