Proceedings :: International Society of Precision Agriculture

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Negreiros, M

Neto, J.C

Qu, L

NADAGOUDA , B.T

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Authors

Ehsani, R

Sankaran, S

Maja, J.M

Neto, J.C

Sun, C

Ji, Z

Qian, J

Li, M

Zhao, L

Li, W

Zhou, C

Du, X

Xie, J

Wu, T

Qu, L

Hao, L

Yang, X

Potdar, M.P

Balol, G.B

SATYAREDDI, S.A

NADAGOUDA , B.T

CHANDRASHEKAR , C.P

de Souza, M.R

Bertani, T.D

Parraga, A

Bredemeier, C

Trentin, C

Doering, D

Susin, A

Negreiros, M

Topics

Precision Horticulture

Information Management and Traceability

Site-Specific Nutrient, Lime and Seed Management

Applications of Unmanned Aerial Systems

Type

Poster

Oral

Year

2012

2018

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Filter results4 paper(s) found.
1. Affordable Multi-Rotor Remote Sensing Platform for Applications In Precision Horticulture. Satellite and aerial imaging technologies have been explored for a long time as an extremely useful source of collecting cost-effective data for agricultural applications. In spite of the availability of such technologies, very few growers are using the technology... R. Ehsani, S. Sankaran, J.M. Maja, J.C. Neto Download paper
2. Towards a Multi-Source Record Keeping System for Agricultural Product Traceability Agricultural production record keeping is the basis of traceability system. To resolve the problem including single method of information acquisition, weak ability of real-time monitoring and low credibility of history information in agricultural production process, the... C. Sun, Z. Ji, J. Qian, M. Li, L. Zhao, W. Li, C. Zhou, X. Du, J. Xie, T. Wu, L. Qu, L. Hao, X. Yang Download paper
3. Soil Spatial Variability Assessment and Precision Nutrient Management in Maize (Zea Mays L.) Investigations on soil spatial variability and precision nutrient management based targeted yield approach in maize was carried out at Agricultural research station (ARS), Mudhol (Karnataka), India under irrigated condition during 2013-14, 2014-15 and 2015-16. ARS, Mudhol is located in northern dry zone of Karnataka at 160 20! N latitude, 750 15! E longitude and at an altitude of 577.6 meter above mean sea level. To assess the spatial variability, the study area was divided into 20 x20 m size... M.P. Potdar, G.B. Balol, S.A. Satyareddi, B.T. Nadagouda , C.P. Chandrashekar Download paper
4. Wheat Biomass Estimation Using Visible Aerial Images and Artificial Neural Network In this study, visible RGB-based vegetation indices (VIs) from UAV high spatial resolution (1.9 cm) remote sensing images were used for modeling shoot biomass of two Brazilian wheat varieties (TBIO Toruk and BRS Parrudo). The approach consists of a combination of Artificial Neural Network (ANN) with several Vegetation Indices to model the measured crop biomass at different growth stages. Several vegetation indices were implemented: NGRDI (Normalized Green-Red Difference Index), CIVE (Color Index... M.R. De souza, T.D. Bertani, A. Parraga, C. Bredemeier, C. Trentin, D. Doering, A. Susin, M. Negreiros Download paper

Filter results4 paper(s) found.

1. Affordable Multi-Rotor Remote Sensing Platform for Applications In Precision Horticulture.

Satellite and aerial imaging technologies have been explored for a long time as an extremely useful source of collecting cost-effective data for agricultural applications. In spite of the availability of such technologies, very few growers are using the technology... R. Ehsani, S. Sankaran, J.M. Maja, J.C. Neto

Download paper

2. Towards a Multi-Source Record Keeping System for Agricultural Product Traceability

Agricultural production record keeping is the basis of traceability system. To resolve the problem including single method of information acquisition, weak ability of real-time monitoring and low credibility of history information in agricultural production process, the... C. Sun, Z. Ji, J. Qian, M. Li, L. Zhao, W. Li, C. Zhou, X. Du, J. Xie, T. Wu, L. Qu, L. Hao, X. Yang

Download paper

3. Soil Spatial Variability Assessment and Precision Nutrient Management in Maize (Zea Mays L.)

Investigations on soil spatial variability and precision nutrient management based targeted yield approach in maize was carried out at Agricultural research station (ARS), Mudhol (Karnataka), India under irrigated condition during 2013-14, 2014-15 and 2015-16. ARS, Mudhol is located in northern dry zone of Karnataka at 160 20! N latitude, 750 15! E longitude and at an altitude of 577.6 meter above mean sea level. To assess the spatial variability, the study area was divided into 20 x20 m size... M.P. Potdar, G.B. Balol, S.A. Satyareddi, B.T. Nadagouda , C.P. Chandrashekar

Download paper

4. Wheat Biomass Estimation Using Visible Aerial Images and Artificial Neural Network

In this study, visible RGB-based vegetation indices (VIs) from UAV high spatial resolution (1.9 cm) remote sensing images were used for modeling shoot biomass of two Brazilian wheat varieties (TBIO Toruk and BRS Parrudo). The approach consists of a combination of Artificial Neural Network (ANN) with several Vegetation Indices to model the measured crop biomass at different growth stages. Several vegetation indices were implemented: NGRDI (Normalized Green-Red Difference Index), CIVE (Color Index... M.R. De souza, T.D. Bertani, A. Parraga, C. Bredemeier, C. Trentin, D. Doering, A. Susin, M. Negreiros

Download paper