Proceedings :: International Society of Precision Agriculture

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Wu, Q

Igartua, E

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Authors

Ma, Y

Zhang, J

Pan, D

Wu, Q

Xiaoyu, S

Xu, X

Gomez-Candon, D

Cabeza, A

Villegas, D

Casas, A.M

Igartua, E

Xiaoyu, S

Wu, Q

Ma, Y

Zhang, J

Dong, P

Xu, X

Topics

Precision Crop Protection, Pest, and Plant Health

UAV-Based Scouting, Imaging, and Targeted Applications

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Poster

Oral

Year

2026

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Authors

Filter results3 paper(s) found.
1. Inversion of Potato Chlorophyll Content Based on Radiation Transfer Model and Machine Learning Algorithm Leaf chlorophyll content (LCC) significantly correlates with crop growth conditions, nitrogen content, yield, etc. It is a crucial indicator for elucidating the senescence process of plants and can reflect their growth and nutrition status. However, the performance of traditional LCC inversion models is limited by the quality and scale of training data. It is difficult to satisfy the needs of precision agriculture. 【Objective】Therefore, this study proposes a hybrid modeling framework based... Y. Ma, J. Zhang, D. Pan, Q. Wu, S. Xiaoyu, X. Xu Download paper
2. Comparing UAV-based Multispectral Indices with Thermal and Energy Balance Models for Barley Yield Components Estimation Accurate estimation of barley yield components is essential for improving crop management and breeding strategies under contrasting water regimes. This study evaluates the potential of integrating unmanned aerial vehicle (UAV)-based multispectral and thermal imagery with energy balance modeling to predict grain yield (GY), thousand kernel weight (TKW), and grain filling period (GFP). A recombinant inbred line (RIL) population derived from SBCC073 × Cierzo was grown under irrigated and rainfed... D. Gomez-candon, A. Cabeza, D. Villegas, A.M. Casas, E. Igartua Download paper
3. Study on the Phenological Zoning Method for Winter Wheat in the Huang-Huai-Hai Region of China The impact of global climate change on agricultural phenology is becoming increasingly significant. As a major producer of winter wheat, China's cultivation areas span multiple climate zones. Against the backdrop of climate change, the spatiotemporal differentiation of crop phenology has raised new scientific demands for agricultural zoning. Phenological zoning has guiding significance for variety selection, irrigation management, and pest prediction. However, existing research often relies... S. Xiaoyu, Q. Wu, Y. Ma, J. Zhang, P. Dong, X. Xu Download paper

Filter results3 paper(s) found.

1. Inversion of Potato Chlorophyll Content Based on Radiation Transfer Model and Machine Learning Algorithm

Leaf chlorophyll content (LCC) significantly correlates with crop growth conditions, nitrogen content, yield, etc. It is a crucial indicator for elucidating the senescence process of plants and can reflect their growth and nutrition status. However, the performance of traditional LCC inversion models is limited by the quality and scale of training data. It is difficult to satisfy the needs of precision agriculture. 【Objective】Therefore, this study proposes a hybrid modeling framework based... Y. Ma, J. Zhang, D. Pan, Q. Wu, S. Xiaoyu, X. Xu

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2. Comparing UAV-based Multispectral Indices with Thermal and Energy Balance Models for Barley Yield Components Estimation

Accurate estimation of barley yield components is essential for improving crop management and breeding strategies under contrasting water regimes. This study evaluates the potential of integrating unmanned aerial vehicle (UAV)-based multispectral and thermal imagery with energy balance modeling to predict grain yield (GY), thousand kernel weight (TKW), and grain filling period (GFP). A recombinant inbred line (RIL) population derived from SBCC073 × Cierzo was grown under irrigated and rainfed... D. Gomez-candon, A. Cabeza, D. Villegas, A.M. Casas, E. Igartua

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3. Study on the Phenological Zoning Method for Winter Wheat in the Huang-Huai-Hai Region of China

The impact of global climate change on agricultural phenology is becoming increasingly significant. As a major producer of winter wheat, China's cultivation areas span multiple climate zones. Against the backdrop of climate change, the spatiotemporal differentiation of crop phenology has raised new scientific demands for agricultural zoning. Phenological zoning has guiding significance for variety selection, irrigation management, and pest prediction. However, existing research often relies... S. Xiaoyu, Q. Wu, Y. Ma, J. Zhang, P. Dong, X. Xu

Download paper