Proceedings :: International Society of Precision Agriculture

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Gunzenhauser, B

Gonçalves Trevisan, R

Gutteridge, M

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Authors

Hoffmann Silva Karp, F

Feritas Colaço, A

Gonçalves Trevisan, R

Molin, J.P

Gutteridge, M

Xiong, X

Myers, D

DeBruin, J

Gunzenhauser, B

Sampath, N

Ye, D

Underwood, H

Hensley, R

Topics

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

Robotics, Guidance and Automation

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

Type

Oral

Year

2018

2022

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Authors

Filter results3 paper(s) found.
1. Canopy Parameters in Coffee Orchards Obtained by a Mobile Terrestrial Laser Scanner The application of mobile terrestrial laser scanner (MTLS) has been studied for different tree crops such as citrus, apple, olive, pears and others. Such sensing system is capable of accurately estimating relevant canopy parameters such as volume and can be used for site-specific applications and for high throughput plant phenotyping. Coffee is an important tree crop for Brazil and could benefit from MTLS applications. Therefore, the purpose of this research was to define a field protocol for... F. Hoffmann Silva Karp, A. Feritas Colaço, R. Gonçalves Trevisan, J.P. Molin Download paper
2. Possibilities for Improved Decision Making and Operating Efficiency Derived from the Predictability of Autonomous Farming Operations For the last 6 years, small autonomous agricultural vehicles have been operating on Harper Adams University’s fields in Shropshire. Starting with a single tractor on a single rectangular hectare (2.5 acres) and moving on to three tractors on 5 irregularly shaped fields covering over 30 hectares (75 acres). Multiple crops have been grown; planting, tending, and harvesting with autonomous tractors and harvesters. The fields are worked using a Controlled Traffic Farming system,... M. Gutteridge
3. Functional Soil Property Mapping with Electrical Conductivity, Spectral and Satellite Remote Sensors Proximal electrical conductivity (EC) and spectral sensing has been widely used as a cost-effective tool for soil mapping at field scale. The traditional method of calibrating proximal sensors for functional soil property prediction (e.g., soil organic matter, sand, silt, and clay contents) requires the local soil sample data, which results in a field-specific calibration. In this large-scale study consisting of 126 fields, we found that the traditional local calibration method had suffered weak... X. Xiong, D. Myers, J. Debruin, B. Gunzenhauser, N. Sampath, D. Ye, H. Underwood, R. Hensley Download paper

Filter results3 paper(s) found.

1. Canopy Parameters in Coffee Orchards Obtained by a Mobile Terrestrial Laser Scanner

The application of mobile terrestrial laser scanner (MTLS) has been studied for different tree crops such as citrus, apple, olive, pears and others. Such sensing system is capable of accurately estimating relevant canopy parameters such as volume and can be used for site-specific applications and for high throughput plant phenotyping. Coffee is an important tree crop for Brazil and could benefit from MTLS applications. Therefore, the purpose of this research was to define a field protocol for... F. Hoffmann Silva Karp, A. Feritas Colaço, R. Gonçalves Trevisan, J.P. Molin

Download paper

2. Possibilities for Improved Decision Making and Operating Efficiency Derived from the Predictability of Autonomous Farming Operations

For the last 6 years, small autonomous agricultural vehicles have been operating on Harper Adams University’s fields in Shropshire. Starting with a single tractor on a single rectangular hectare (2.5 acres) and moving on to three tractors on 5 irregularly shaped fields covering over 30 hectares (75 acres). Multiple crops have been grown; planting, tending, and harvesting with autonomous tractors and harvesters. The fields are worked using a Controlled Traffic Farming system,... M. Gutteridge

3. Functional Soil Property Mapping with Electrical Conductivity, Spectral and Satellite Remote Sensors

Proximal electrical conductivity (EC) and spectral sensing has been widely used as a cost-effective tool for soil mapping at field scale. The traditional method of calibrating proximal sensors for functional soil property prediction (e.g., soil organic matter, sand, silt, and clay contents) requires the local soil sample data, which results in a field-specific calibration. In this large-scale study consisting of 126 fields, we found that the traditional local calibration method had suffered weak... X. Xiong, D. Myers, J. Debruin, B. Gunzenhauser, N. Sampath, D. Ye, H. Underwood, R. Hensley

Download paper