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Jakhar, A
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Authors
Lacerda, L
Felipe dos Santos, A
Bedwell, E
Jakhar, A
Costa Barboza, T.O
Ardigueri, M
Jakhar, A
Bhattarai, A
Bastos, L
Scarpin, G
BHATTARAI, A
Jakhar, A
Bastos, L
Scarpin, G.J
Topics
Education of Precision Agriculture Topics and Practices
In-Season Nitrogen Management
Precision Agriculture for Sustainability and Environmental Protection
Type
Oral
Poster
Year
2024
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Filter results3 paper(s) found.

1. Fostering Student Engagement and Leadership Development in Integrative Precision Agriculture Across Borders

Efforts to advance integrative precision agriculture technologies are growing exponentially across the globe with the common interest of upholding food security and developing more sustainable food and fiber production systems. Countries such as the United States and Brazil are among the biggest crop producers in the world and will play an even bigger role in food security in the next decades. It is of utmost importance that countries can advance together to overcome future food production challenges... L. Lacerda, A. Felipe dos santos, E. Bedwell, A. Jakhar, T.O. Costa barboza, M. Ardigueri

2. Proximal, Drone, and Satellite Sensors for In-season Variable Nitrogen Rate Application in Corn: a Comparative Study of Fixed-rate and Sensor-based Approaches

Effective nitrogen (N) management is essential for optimizing corn yield and enhancing agricultural sustainability. Traditional N application methods, typically uniform split pre-plant and in-season applications, often neglect the spatial and temporal variability of N requirements across different fields and years, potentially leading to N overuse. With the rise of precision agriculture technologies, it is crucial to reassess these conventional practices. This study had two main objectives: first,... A. Jakhar, A. Bhattarai, L. Bastos, G. Scarpin

3. Comparing Proximal and Remote Sensors for Variable Rate Nitrogen Management in Cotton

Sensing and variable rate technology are becoming increasingly important in precision agriculture. These technologies utilize sensors to monitor crop growth and health, enabling informed decisions such as diagnosing nitrogen (N) stress and applying variable rates of N. Sensor-based solutions allow for customized N applications based on plant needs and environmental factors. This approach has led to notable reductions in N application rates, minimized N losses by improving N use efficiency (NUE),... A. Bhattarai, A. Jakhar, L. Bastos, G.J. Scarpin