Proceedings :: International Society of Precision Agriculture

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Husband, S.C

Huang, L

Masnello, J.C

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Authors

Husband, S.C

Huang, L

Jin, H

He, Y

Liu, F

Zhou, Y

Yang, L

Huang, L

Meng, L

Wang, J

Wu, D

Fu, X

Li, S

Balboa, G

Masnello, J.C

De Oliveira Moreira, F

Canal Filho, R

Da Silva, E.R

Molin, J.P

Topics

Guidance, Auto Steer, and GPS Systems

Food Security and Precision Agriculture

Precision Crop Protection

Demonstration

Type

Oral

Poster

Year

2010

2014

2018

2024

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Filter results4 paper(s) found.
1. GPS Guidance Of Mechanized Site Preparation In Forestry Plantations: A Precision Forestry Approach Application of GPS guidance to mechanized site preparation in forestry plantations: a precision forestry approach By Steve Husband (Paper proposed for 10th International Conference on Precision Agriculture 2010) ABSTRACT This... S.C. Husband Download paper
2. Application Of Hyperspectral Imaging For Rapid And Non-Invasive Quantification Of Quality Of Mulberry Fruit This study investigated the potential of using hyperspectral imaging working in visible and short-wave near infrared region (380-1030 nm) for rapid and non-invasive determination of the total flavonoid in mulberry fruit. Mulberry fruit with its sweet flavor is widely used in jam, pies, tarts, wines, and liquor, and is a delicacy among humans and birds alike. The quality evaluation of mulberry is usually determined by chemical or sensory analysis. However these methods are not capable... L. Huang, H. Jin, Y. He, F. Liu, Y. Zhou Download paper
3. Rapid Identification of Mulberry Leaf Pests Based on Near Infrared Hyperspectral Imaging As one of the most common mulberry pests, Diaphania pyloalis Walker (Lepidoptera: Pyralididae) has occurred and damaged in the main sericulture areas of China. Naked eye observation, the most dominating method identifying the damage of Diaphania pyloalis, is time-wasting and labor consuming. In order to improve the identification and diagnosis efficiency and avoid the massive outbreak of Diaphania pyloalis, near infrared (NIR) hyperspectral imaging technology combined with partial least discriminant... L. Yang, L. Huang, L. Meng, J. Wang, D. Wu, X. Fu, S. Li Download paper
4. Sugarcane Yield Mapping Using an On-board Volumetric Sensor Few alternatives are available to the sugarcane sector for monitoring crop productivity. However, in recent years, research has been dedicated to developing methods ranging from estimation based on engine parameters to using sensors and artificial intelligence. This study aims to present a new tool for monitoring productivity applied to sugarcane cultivation, which utilizes a volumetric optical sensor, in contrast to other methods already used for this measurement, and is recently being introduced... G. Balboa, J.C. Masnello, F. De oliveira moreira, R. Canal filho, E.R. Da silva, J.P. Molin Download paper

Filter results4 paper(s) found.

1. GPS Guidance Of Mechanized Site Preparation In Forestry Plantations: A Precision Forestry Approach

Application of GPS guidance to mechanized site preparation in forestry plantations: a precision forestry approach By Steve Husband (Paper proposed for 10th International Conference on Precision Agriculture 2010) ABSTRACT This... S.C. Husband

Download paper

2. Application Of Hyperspectral Imaging For Rapid And Non-Invasive Quantification Of Quality Of Mulberry Fruit

This study investigated the potential of using hyperspectral imaging working in visible and short-wave near infrared region (380-1030 nm) for rapid and non-invasive determination of the total flavonoid in mulberry fruit. Mulberry fruit with its sweet flavor is widely used in jam, pies, tarts, wines, and liquor, and is a delicacy among humans and birds alike. The quality evaluation of mulberry is usually determined by chemical or sensory analysis. However these methods are not capable... L. Huang, H. Jin, Y. He, F. Liu, Y. Zhou

Download paper

3. Rapid Identification of Mulberry Leaf Pests Based on Near Infrared Hyperspectral Imaging

As one of the most common mulberry pests, Diaphania pyloalis Walker (Lepidoptera: Pyralididae) has occurred and damaged in the main sericulture areas of China. Naked eye observation, the most dominating method identifying the damage of Diaphania pyloalis, is time-wasting and labor consuming. In order to improve the identification and diagnosis efficiency and avoid the massive outbreak of Diaphania pyloalis, near infrared (NIR) hyperspectral imaging technology combined with partial least discriminant... L. Yang, L. Huang, L. Meng, J. Wang, D. Wu, X. Fu, S. Li

Download paper

4. Sugarcane Yield Mapping Using an On-board Volumetric Sensor

Few alternatives are available to the sugarcane sector for monitoring crop productivity. However, in recent years, research has been dedicated to developing methods ranging from estimation based on engine parameters to using sensors and artificial intelligence. This study aims to present a new tool for monitoring productivity applied to sugarcane cultivation, which utilizes a volumetric optical sensor, in contrast to other methods already used for this measurement, and is recently being introduced... G. Balboa, J.C. Masnello, F. De oliveira moreira, R. Canal filho, E.R. Da silva, J.P. Molin

Download paper