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Mercuri, P
Muvva, V
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Authors
L, M
Diaz-Zorita, M
Mercuri, P
Joseph, K
Pitla, S
Muvva, V
Muvva, V
Mwunguzi, H
Pitla, S
Joseph, K
Topics
Precision Nutrient Management
Artificial Intelligence (AI) in Agriculture
Robotics and Automation with Row and Horticultural Crops
Type
Poster
Oral
Year
2010
2024
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1. Variability In Wheat Crop Production Based On Management Zones In Humid Pampas Region, Argentina

Crop productivity within fields is heterogeneous and it responds to the variation in crop management patterns, and in previous, random, and natural crop management factors. The methodologies for the delimitation of management zones (MZ) within production fields differ based on their application objectives. The objectives... M. L, M. Diaz-zorita, P. Mercuri

2. Obstacle-aware UAV Flight Planning for Agricultural Applications

The use of unmanned aerial vehicles (UAVs) has emerged as one of the most important transformational tools in modern agriculture, offering unprecedented opportunities for crop monitoring, management, and optimization. To ensure effective and safe navigation in agricultural environments, robust obstacle avoidance capabilities are required to mitigate collision risks and to ensure efficient operations. Mission planners for UAVs are typically responsible for verifying that the vehicle is following... K. Joseph, S. Pitla, V. Muvva

3. Implementation of Autonomous Material Re-filling Using Customized UAV for Autonomous Planting Operations

This project introduces a groundbreaking use case for customized Unmanned Aerial Vehicles (UAVs) in precision agriculture, focused on achieving holistic autonomy in agricultural operations through multi-robot collaboration.  Currently, commercially available drones for agriculture are restrictive in achieving collaborative autonomy with the growing number of unmanned ground robots, limiting their use to narrow and specific tasks.  The advanced payload capacities of multi-rotor UAVs,... V. Muvva, H. Mwunguzi, S. Pitla, K. Joseph