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Ono, S
Chen-Chang, L
Giselsson, T.M
Chen, H
Chou, C
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Authors
Giselsson, T.M
Jørgensen, R.N
Midtiby, H.S
J�??�?�¸rgensen, R.N
Midtiby, H.S
Giselsson, T.M
Chou, C
Liu, A
Chen, H
Ono, S
Chen-Chang, L
Topics
Precision Crop Protection
Type
Poster
Year
2012
2025
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Filter results6 paper(s) found.

1. Estimating the Plant Stem Emerging Points (PSEPS) of Sugar Beets at Early Growth Stages

Successful intra-row mechanical weed control of sugar beet (beta vulgaris) in early growth stages requires precise knowledge about location of crop plants. A computer vision system for locating Plant Stem Emerging Point (PSEP) of sugar beet in early growth stages was developed and tested. The system is based on detection of individual leaves; each leaf location is described by center of mass and petiole location. After leaf detection the true PSEP locations were annotated manually and... T.M. Giselsson, R.N. Jørgensen, H.S. Midtiby

2. BrainWeed - Teach-In System for Adaptive High Speed Crop / Weed Classification and Targeting

Conducting inter row mechanical weeding requires the precise location of each individual crop plant is known. One technique is to record the global position of each seed when sown using  RTK-GPS systems. Another... R.N. JÃ???Ã??Ã?¸rgensen, H.S. Midtiby, T.M. Giselsson

3. 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

4. HMI-integrated Environmental Sensing for Poultry Water-intake Forecast

Environmental monitoring is crucial in poultry farming, yet traditional reliance on manual inspection is often labor-intensive and inefficient. This study addresses these challenges by developing a comprehensive poultry production management system. The research utilized environmental data—specifically temperature, humidity, carbon dioxide (CO₂), and ammonia (NH₃)—from a guinea fowl population at the Biaoyu Husbandry Farm in Miaoli County. The core of the system is a Human-Machine... H. Chen

5. How Do Different Data Intervals in Exponential Sine Model Affect Prediction of Strawberry Flowering Dynamics?

In strawberry cultivation, where harvests occur periodically, predicting flowering dynamics is crucial for optimizing yield. This study aimed to organize fundamental information on the exponential sine model, which could play a central role in developing prediction processes for strawberry flowering dynamics. To achieve this, the model was applied to flowering data, and the impacts of different data intervals on predictive performance (trends and accuracy) were evaluate. Over three cultivating... S. Ono

6. The Effects of Thermal Aging and Ultraviolet Radiation Aging on the Performance of Greenhouse Plastic Films with Different Thicknesses

Due to Taiwan’s hot and humid climate, it is necessary to consider the haze, tensile strength, and aging resistance of greenhouse plastic films of different thicknesses to evaluate whether replacement is required. This study focuses on commonly used commercial plastic films in Taiwan’s agricultural facilities, mainly composed of linear low-density polyethylene (LLDPE), with thicknesses of 0.15 mm, 0.18 mm, and 0.20 mm. These greenhouse films were subjected to artificial accelerated... L. Chen-chang