Proceedings :: International Society of Precision Agriculture

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Zarco-Tejada, P.J

Lee, K

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Authors

Rodrigues Junior, F.A

Ortiz-Monasterio, I

Zarco-Tejada, P.J

Ammar, K

Gérard, B.G

Rodrigues Jr., F.A

Ortiz-Monasterio, I

Zarco-Tejada, P.J

Toledo, F.H

Schulthess, U

Gérard, B

Lee, K

Sudduth, K.A

Zhou, J

Topics

Sensor Application in Managing In-season CropVariability

Remote Sensing Applications in Precision Agriculture

Proximal and Remote Sensing of Soil and Crop (including Phenotyping)

Type

Oral

Year

2014

2016

2022

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Filter results3 paper(s) found.
1. Using Precision Agriculture And Remote Sensing Techniques To Improve Genotype Selection In A Breeding Program Precision Agriculture (PA) and Remote Sensing (RS) technologies are increasingly being used as tools to assess crop and soil properties by breeders and physiologists. These technologies are showing potential to improve genotype selections over their traditional field measurements, by providing quick access to crop properties throughout the crop cycle and yield estimation. The objective of this work was to use vegetation indices (VIs) and soil apparent electrical conductivity... F.A. Rodrigues junior, I. Ortiz-monasterio, P.J. Zarco-tejada, K. Ammar, B.G. Gérard Download paper
2. High Resolution Hyperspectral Imagery to Assess Wheat Grain Protein in a Farmer's Field The agricultural research sector is working to develop new technologies and management knowledge to sustainably increase food productivity, to ensure global food security and decrease poverty. Wheat is one of the most important crops into this scenario, being among the three most important cereal commodities produced worldwide. Precision Agriculture (PA) and specially Remote Sensing (RS) technologies have become in the recent years more affordable which has improved the availability and flexibility... F.A. Rodrigues jr., I. Ortiz-monasterio, P.J. Zarco-tejada, F.H. Toledo, U. Schulthess, B. Gérard Download paper
3. Hay Yield Estimation Using UAV-based Imagery and a Convolutional Neural Network Yield monitoring systems are widely used commercially in grain crops to map yields at a scale of a few meters. However, such high-resolution yield monitoring and mapping for hay and forage crops has not been commercialized. Most commercial hay yield monitoring systems only obtain the weight of individual bales, making it difficult to map and understand the spatial variability in hay yield. This study investigated the feasibility of an unmanned aerial vehicle (UAV)-based remote sensing system for... K. Lee, K.A. Sudduth, J. Zhou Download paper

Filter results3 paper(s) found.

1. Using Precision Agriculture And Remote Sensing Techniques To Improve Genotype Selection In A Breeding Program

Precision Agriculture (PA) and Remote Sensing (RS) technologies are increasingly being used as tools to assess crop and soil properties by breeders and physiologists. These technologies are showing potential to improve genotype selections over their traditional field measurements, by providing quick access to crop properties throughout the crop cycle and yield estimation. The objective of this work was to use vegetation indices (VIs) and soil apparent electrical conductivity... F.A. Rodrigues junior, I. Ortiz-monasterio, P.J. Zarco-tejada, K. Ammar, B.G. Gérard

Download paper

2. High Resolution Hyperspectral Imagery to Assess Wheat Grain Protein in a Farmer's Field

The agricultural research sector is working to develop new technologies and management knowledge to sustainably increase food productivity, to ensure global food security and decrease poverty. Wheat is one of the most important crops into this scenario, being among the three most important cereal commodities produced worldwide. Precision Agriculture (PA) and specially Remote Sensing (RS) technologies have become in the recent years more affordable which has improved the availability and flexibility... F.A. Rodrigues jr., I. Ortiz-monasterio, P.J. Zarco-tejada, F.H. Toledo, U. Schulthess, B. Gérard

Download paper

3. Hay Yield Estimation Using UAV-based Imagery and a Convolutional Neural Network

Yield monitoring systems are widely used commercially in grain crops to map yields at a scale of a few meters. However, such high-resolution yield monitoring and mapping for hay and forage crops has not been commercialized. Most commercial hay yield monitoring systems only obtain the weight of individual bales, making it difficult to map and understand the spatial variability in hay yield. This study investigated the feasibility of an unmanned aerial vehicle (UAV)-based remote sensing system for... K. Lee, K.A. Sudduth, J. Zhou

Download paper