Proceedings :: International Society of Precision Agriculture

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Inamasu, R

Fortes, R

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Authors

Dutra, R

Sousa, R

Porto, A

Inamasu, R

Lopes, W

Tronco, M

Tabile, R

Porto, A

Inamasu, R

Sousa, R

Kolln, O.T

Sanches, G.M

Rossi Neto, J

Castro, S.G

Mariano, E

Otto, R

Inamasu, R

Magalhães, P.S

Braunbeck, O.A

Franco, H.C

Cabrera Dengra, M

Ferraz Pueyo, C

Pajuelo Madrigal, V

Moreno Heras, L

Inunciaga Leston, G

Fortes, R

Topics

Guidance, Robotics, Automation, and GPS Systems

Engineering Technologies and Advances

Precision Nutrient Management

Profitability and Success Stories in Precision Agriculture

Type

Poster

Oral

Year

2012

2014

2022

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Filter results4 paper(s) found.
1. Architecture and Model of Data Integration between Management Systems and Agricultural Machines for Precision Agriculture The development of robotic systems has challenges as the high degree of interdisciplinarity, the difficulty of integration between the various robotic control... R. Dutra, R. Sousa, A. Porto, R. Inamasu, W. Lopes, M. Tronco Download paper
2. Agribot: Development Of A Mobile Robotic Platform To Support Agricultural Data Collection Precision Agriculture and agricultural practices that take into account environment protection, leads to several research challenges. Sampling scale and the precision required by these new agricultural practices are often greater than those required by traditional agriculture, raising the costs of production. This whole process requests an expressive number of researches in developing automation instruments. Amongst them, the use of remote sensing techniques based on On-the-Go sensors... R. Tabile, A. Porto, R. Inamasu, R. Sousa Download paper
3. Optical Sensors To Predict Nitrogen Demand By Sugarcane The low effectiveness of nitrogen (N) from fertilizer is a substantial concern in worldwide which has been threatening the sustainability of sugarcane production. The increment of nitrogen use efficiency (NUE) by sugarcane genotypes associated to the best practices of fertilizer management and nutritional diagnosis methods have higher potential to reduce environment impacts of nitrogen fertilization. Due to the difficult to determine N status in soil test as well as there is not... O.T. Kolln, G.M. Sanches, J. Rossi neto, S.G. Castro, E. Mariano, R. Otto, R. Inamasu, P.S. Magalhães, O.A. Braunbeck, H.C. Franco Download paper
4. Use of MLP Neural Networks for Sucrose Yield Prediction in Sugarbeet INTRODUCTION Sugar beet is one of the more technified agro industries in Spain. In the last years, it has leaded as well the digital transformation with the objective of maintaining sugar beet competitivity both national and internationally. Among other lines, very high potential has been identified in determining the sucrose content using a combination of Artificial Intelligence and Remote Sensing. This work presents the conclusions of an extensive data acquisition task, creation of... M. Cabrera dengra, C. Ferraz pueyo, V. Pajuelo madrigal, L. Moreno heras, G. Inunciaga leston, R. Fortes Download paper

Filter results4 paper(s) found.

1. Architecture and Model of Data Integration between Management Systems and Agricultural Machines for Precision Agriculture

The development of robotic systems has challenges as the high degree of interdisciplinarity, the difficulty of integration between the various robotic control... R. Dutra, R. Sousa, A. Porto, R. Inamasu, W. Lopes, M. Tronco

Download paper

2. Agribot: Development Of A Mobile Robotic Platform To Support Agricultural Data Collection

Precision Agriculture and agricultural practices that take into account environment protection, leads to several research challenges. Sampling scale and the precision required by these new agricultural practices are often greater than those required by traditional agriculture, raising the costs of production. This whole process requests an expressive number of researches in developing automation instruments. Amongst them, the use of remote sensing techniques based on On-the-Go sensors... R. Tabile, A. Porto, R. Inamasu, R. Sousa

Download paper

3. Optical Sensors To Predict Nitrogen Demand By Sugarcane

The low effectiveness of nitrogen (N) from fertilizer is a substantial concern in worldwide which has been threatening the sustainability of sugarcane production. The increment of nitrogen use efficiency (NUE) by sugarcane genotypes associated to the best practices of fertilizer management and nutritional diagnosis methods have higher potential to reduce environment impacts of nitrogen fertilization. Due to the difficult to determine N status in soil test as well as there is not... O.T. Kolln, G.M. Sanches, J. Rossi neto, S.G. Castro, E. Mariano, R. Otto, R. Inamasu, P.S. Magalhães, O.A. Braunbeck, H.C. Franco

Download paper

4. Use of MLP Neural Networks for Sucrose Yield Prediction in Sugarbeet

INTRODUCTION Sugar beet is one of the more technified agro industries in Spain. In the last years, it has leaded as well the digital transformation with the objective of maintaining sugar beet competitivity both national and internationally. Among other lines, very high potential has been identified in determining the sucrose content using a combination of Artificial Intelligence and Remote Sensing. This work presents the conclusions of an extensive data acquisition task, creation of... M. Cabrera dengra, C. Ferraz pueyo, V. Pajuelo madrigal, L. Moreno heras, G. Inunciaga leston, R. Fortes

Download paper