Proceedings :: International Society of Precision Agriculture

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Inunciaga Leston, G

Inaba, S

Irby, J.T

Isaksson, T

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Authors

Isaksson, T

Korsaeth, A

Øvergaard, S

Hirai, Y

Beppu, Y

Mori, Y

Tomita, K

Hamagami, K

Mori, K

Uchida, S

Inaba, S

Prince Czarnecki, J.M

Wasson, L.L

Irby, J.T

Scholtes, A.B

Carver, S.M

Cabrera Dengra, M

Ferraz Pueyo, C

Pajuelo Madrigal, V

Moreno Heras, L

Inunciaga Leston, G

Fortes, R

Topics

Remote Sensing Applications in Precision Agriculture

Spatial and Temporal Variability in Crop, Soil and Natural Resources

Applications of Unmanned Aerial Systems

Profitability and Success Stories in Precision Agriculture

Type

Poster

Oral

Year

2012

2008

2018

2022

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Filter results4 paper(s) found.
1. Remote NIR-Sensor Fusion with Weather Data for Improved Prediction of Wheat Yield Models Prediction models for grain yield based on remote sensing data are commonly shown to perform reasonably well for one single cropping season. The model performances often drop, however, when data from more years is included. This may be caused by biased data, resulting from diverging growth conditions from year to year, which affects... T. Isaksson, A. Korsaeth, S. Øvergaard Download paper
2. Principal Component Analysis of Rice Production Environment in the Rice Terrace Region Environmental conditions that affect rice production, such as air temper- ature, relative humidity, solar radiation, effective cation exchangeable capacity (ECEC) of the soil, and total nitrogen in irrigation water, were assessed for 4 paddy fields in Hoshino village, Fukuoka prefecture in Japan. Also, environ- mental factors that affected rice quality (physicochemical properties of rice grains and cooked rice) were identified using data during the beginning of a ripening period (20 days after... Y. Hirai, Y. Beppu, Y. Mori, K. Tomita, K. Hamagami, K. Mori, S. Uchida, S. Inaba Download paper
3. Soybean Maturity Stage Estimation with Unmanned Aerial Systems Many agronomic decisions in soybean production systems revolve around crop maturity. The primary objective of this research was to evaluate the ability of UAS to determine when soybeans have reached maturity stage sufficient for harvest aid application. A producer typically applies harvest aid chemicals when he or she perceives the crop has reached a critical level of maturity (R6.5) based on a subjective assessment. A convention is to apply harvest aids when 65% of soybean pods reach a mature... J.M. Prince czarnecki, L.L. Wasson, J.T. Irby, A.B. Scholtes, S.M. Carver 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. Remote NIR-Sensor Fusion with Weather Data for Improved Prediction of Wheat Yield Models

Prediction models for grain yield based on remote sensing data are commonly shown to perform reasonably well for one single cropping season. The model performances often drop, however, when data from more years is included. This may be caused by biased data, resulting from diverging growth conditions from year to year, which affects... T. Isaksson, A. Korsaeth, S. Øvergaard

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2. Principal Component Analysis of Rice Production Environment in the Rice Terrace Region

Environmental conditions that affect rice production, such as air temper- ature, relative humidity, solar radiation, effective cation exchangeable capacity (ECEC) of the soil, and total nitrogen in irrigation water, were assessed for 4 paddy fields in Hoshino village, Fukuoka prefecture in Japan. Also, environ- mental factors that affected rice quality (physicochemical properties of rice grains and cooked rice) were identified using data during the beginning of a ripening period (20 days after... Y. Hirai, Y. Beppu, Y. Mori, K. Tomita, K. Hamagami, K. Mori, S. Uchida, S. Inaba

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3. Soybean Maturity Stage Estimation with Unmanned Aerial Systems

Many agronomic decisions in soybean production systems revolve around crop maturity. The primary objective of this research was to evaluate the ability of UAS to determine when soybeans have reached maturity stage sufficient for harvest aid application. A producer typically applies harvest aid chemicals when he or she perceives the crop has reached a critical level of maturity (R6.5) based on a subjective assessment. A convention is to apply harvest aids when 65% of soybean pods reach a mature... J.M. Prince czarnecki, L.L. Wasson, J.T. Irby, A.B. Scholtes, S.M. Carver

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