Proceedings :: International Society of Precision Agriculture

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Chudy, T

Chou, C

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Authors

Gebbers, R

Dworak, V

Mahns, B

Weltzien, C

Büchele, D

Gornushkin, I

Mailwald, M

Ostermann, M

Rühlmann, M

Schmid, T

Maiwald, M

Sumpf, B

Rühlmann, J

Bourouah, M

Scheithauer, H

Heil, K

Heggemann, T

Leenen, M

Pätzold, S

Welp, G

Chudy, T

Mizgirev, A

Wagner, P

Beitz, T

Kumke, M

Riebe, D

Kersebaum, C

Wallor, E

Chou, C

Liu, A

Topics

Precision Nutrient Management

Type

Poster

Year

2016

2025

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Filter results2 paper(s) found.
1. Integrated Approach to Site-specific Soil Fertility Management In precision agriculture the lack of affordable methods for mapping relevant soil attributes is a fundamental problem. It restricts the development and application of advanced models and algorithms for decision making. The project “I4S - Integrated System for Site-Specific Soil Fertility Management” combines new sensing technologies with dynamic soil-crop models and decision support systems. Using sensors with different measurement principles improves the estimation of soil fertility... R. Gebbers, V. Dworak, B. Mahns, C. Weltzien, D. Büchele, I. Gornushkin, M. Mailwald, M. Ostermann, M. Rühlmann, T. Schmid, M. Maiwald, B. Sumpf, J. Rühlmann, M. Bourouah, H. Scheithauer, K. Heil, T. Heggemann, M. Leenen, S. Pätzold, G. Welp, T. Chudy, A. Mizgirev, P. Wagner, T. Beitz, M. Kumke, D. Riebe, C. Kersebaum, E. Wallor Download paper
2. Deep Learning Prediction of Methane Production in Mesophilic and Thermophilic Anaerobic Digestion Anaerobic digestion (AD) converts organic waste into methane-rich biogas but forecasting methane yield is difficult due to nonlinear dynamics. This study compares Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Temporal Convolutional Network (TCN), and Temporal Fusion Transformer （TFT） models for predicting methane production rate (MPR, L/L/d) under mesophilic (37°C) and thermophilic (55°C) conditions. Lab-scale reactor data with features including hydraulic retention... C. Chou, A. Liu Download paper

Filter results2 paper(s) found.

1. Integrated Approach to Site-specific Soil Fertility Management

In precision agriculture the lack of affordable methods for mapping relevant soil attributes is a fundamental problem. It restricts the development and application of advanced models and algorithms for decision making. The project “I4S - Integrated System for Site-Specific Soil Fertility Management” combines new sensing technologies with dynamic soil-crop models and decision support systems. Using sensors with different measurement principles improves the estimation of soil fertility... R. Gebbers, V. Dworak, B. Mahns, C. Weltzien, D. Büchele, I. Gornushkin, M. Mailwald, M. Ostermann, M. Rühlmann, T. Schmid, M. Maiwald, B. Sumpf, J. Rühlmann, M. Bourouah, H. Scheithauer, K. Heil, T. Heggemann, M. Leenen, S. Pätzold, G. Welp, T. Chudy, A. Mizgirev, P. Wagner, T. Beitz, M. Kumke, D. Riebe, C. Kersebaum, E. Wallor

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2. Deep Learning Prediction of Methane Production in Mesophilic and Thermophilic Anaerobic Digestion

Anaerobic digestion (AD) converts organic waste into methane-rich biogas but forecasting methane yield is difficult due to nonlinear dynamics. This study compares Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Temporal Convolutional Network (TCN), and Temporal Fusion Transformer （TFT） models for predicting methane production rate (MPR, L/L/d) under mesophilic (37°C) and thermophilic (55°C) conditions. Lab-scale reactor data with features including hydraulic retention... C. Chou, A. Liu

Download paper