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Jukema, J.N
Lee, J
Scarpin, G.J
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Authors
P.W Clevers, J.G
Wijnholds, K.H
Jukema, J.N
Lee, J
Fulton, J
Port, K
Colley III, R
BHATTARAI, A
Jakhar, A
Bastos, L
Scarpin, G.J
Topics
Remote Sensing Application / Sensor Technology
Decision Support Systems
Precision Agriculture for Sustainability and Environmental Protection
Type
Oral
Poster
Year
2008
2018
2024
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1. Remote Sensing-based Biomass Maps for an Efficient Use of Fertilizers

For decades the main objective of farmers was to get the highest yields from their farmland. Nowadays, quality of agricultural products is becoming more and more important for the largest returns. In addition, the effects on our environment are also becoming important. These put increasing limitations on modern agriculture. So-called site-specific management can optimize the input of, for instance, nutrients and pesticides to the need of the plants. In this study, the objective was to study whether... J.G. P.w clevers, K.H. Wijnholds, J.N. Jukema

2. Overview and Value of Digital Technologies for North American Soybean Producers

In the current state of digital agriculture, many digital technologies and services are offered to assist North American soybean producers.  Opportunities for capturing and analyzing information related to soybean production methods are made available through the adoption of these technologies.  However, often it is difficult for producers to know which digital tools and services are available to them or understand the value they can provide.  The objective of this... J. Lee, J. Fulton, K. Port, R. Colley iii

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