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Costa, O.P
Jamei, M
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Authors
Felipe dos Santos, A
Silva, J.E
Costa, O.P
Inácio , F.D
Oliveira, R
Silva, W
Lacerda, L
Orlando Costa Barboza, T
Zaman, Q.U
Farooque, A
Jamei, M
Esau, T.J
Topics
Drone Spraying
Big Data, Data Mining and Deep Learning
Type
Oral
Poster
Year
2024
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1. Comparative Analysis of Spray Nozzles on Drones: Volumetric Distribution at Different Heights

Agricultural drones are emerging as a revolutionary tool in modern agriculture, aiming to enhance precision and efficiency in crop management. One of their main advantages is the ability to operate in adverse soil and canopy height conditions, making them a valuable instrument for the application of agrochemicals. In this context, the optimization of spraying systems plays a critical role, with the goal of ensuring the effective application of agrochemicals, aiming to maximize productivity and... A. Felipe dos santos, J.E. Silva, O.P. Costa, F.D. Inácio , R. Oliveira, W. Silva, L. Lacerda, T. Orlando costa barboza

2. Application of Advanced Soft Computing to Estimate Potato Tuber Yield: a Case Study from Atlantic Canada

The potato crop plays a crucial role in the economy of Atlantic Canada, particularly in Prince Edward Island and New Brunswick, where it contributes significantly to potato production. To help farmers make informed decisions for sustainable and profitable farming, this study was conducted to examine the variations in potato tuber yield based on thirty soil properties collected over four growing seasons through experimental trials. The study employed an advanced and explainable ensemble model called... Q.U. Zaman, A. Farooque, M. Jamei, T.J. Esau