Article
Agronomy
Ramiro Salgado, Luciano Mateos
Summary: The study compared two remote sensing approaches for estimating crop evapotranspiration and found that using the vegetation index-based method can improve accuracy, especially in the context of actual irrigation schedules and specific field conditions.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agronomy
Paul B. Hegedus, Bruce Maxwell, John Sheppard, Sasha Loewen, Hannah Duff, Giorgio Morales-Luna, Amy Peerlinck
Summary: This study evaluates the use of on-farm experiments with precision agriculture technologies and open-source data to gain local knowledge of the spatiotemporal variability in agroeconomic performance. The proposed methodology improves farmers' ability to make site-specific agronomic input decisions and provides probabilities of outcomes as management recommendations. It represents an advancement over traditional research methods and allows for probabilistic inference on which management scenarios will increase producer profits.
Article
Energy & Fuels
Parthasarathy Velusamy, Santhosh Rajendran, Rakesh Kumar Mahendran, Salman Naseer, Muhammad Shafiq, Jin-Ghoo Choi
Summary: Agriculture is the primary source of income in developing countries like India. The monitoring and early detection of crop diseases and pest infestations are still challenging, but unmanned aerial vehicles (UAVs) have proven to be effective tools for precision-based crop monitoring and pest management.
Article
Biophysics
Ivo Z. Goncalves, Christopher M. U. Neale, Andy Suyker, Fabio R. Marin
Summary: This long-term study in Nebraska, one of the most intensely irrigated regions in the world, found that crop coefficient (Kc) tends to decrease at high evaporative demand (ETr), creating an inverse relationship. This suggests that the Kc-ETr approach needs adjustment for improved irrigation depth and management.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Biophysics
Ivo Z. Goncalves, Fernando C. Mendonca, Arthur C. Sanches, Fabio R. Marin
Summary: This study investigated the water needs of tropical forage crops in Southern Brazil based on a robust experimental database. The results showed a negative correlation between crop evapotranspiration and reference evapotranspiration, suggesting the need for adjustments in crop coefficient curves for different ranges of reference evapotranspiration to improve irrigation effectiveness.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Jatin Kala, Annette L. Hirsch, Tilo Ziehn, Sarah E. Perkins-Kirkpatrick, Martin G. De Kauwe, Andy Pitman
Summary: Adapting to future warming is a challenge, and one proposed strategy is crop albedo enhancement for reducing heatwave impacts. This study shows that increasing crop albedo can reduce heatwave frequency and temperature anomalies, but has limited effect on heatwave duration. The changes are largely driven by reduced net radiation and sensible heat flux, presenting advantages for implementation.
WEATHER AND CLIMATE EXTREMES
(2022)
Article
Agronomy
Admire R. Dzvene, Weldemichael A. Tesfuhuney, Sue Walker, Gert Ceronio
Summary: This study evaluated the effects of sunn hemp intercropping time and stand density on radiation interception and use efficiency in a maize-based system. The results showed that simultaneous planting of sunn hemp with maize captured the most growing season PAR and had the highest RUE, indicating that it can significantly enhance dry matter accumulation and carbon sequestration in dryland agroecosystems. Optimizing planting time and density can further increase radiation utilization in maize/sunn hemp intercropping systems.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Plant Sciences
Jie Liu, Alisdair R. Fernie, Jianbing Yan
Summary: Crops are essential for human society, but challenges like growing populations and water shortages are threatening food security. According to FAO statistics, the number of people suffering severe food insecurity is on the rise.
JOURNAL OF PLANT PHYSIOLOGY
(2021)
Article
Agriculture, Multidisciplinary
Paul B. Hegedus, Bruce D. Maxwell
Summary: This study aimed to provide site-specific knowledge base through modern precision agriculture technologies, quantify the spatiotemporal variation of crop responses, and identify the variables driving crop production, quality, and farmer net-return. The results showed that the degree of crop response varied across time and space, the drivers of net-return varied among fields and years, indicating the need for specific field-based management decisions. On-farm experimentation can help farmers identify these drivers and make informed management decisions.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Environmental Sciences
Alessandra Vinci, Raffaella Brigante, Chiara Traini, Daniela Farinelli
Summary: A simple and innovative procedure using images acquired by a UAV was proposed, evaluated, and validated for canopy characterization in a hazelnut orchard. The method showed promising results for estimating parameters like radius, canopy height, and tree height, except for trunk height. The performance of the method was evaluated by comparing manual and UAV data using correlation coefficients and RMSE.
Article
Engineering, Civil
Xin Han, Qingyun Zhou, Baozhong Zhang, Zheng Che, Zheng Wei, Rangjian Qiu, He Chen, Yinong Li, Taisheng Du
Summary: Crop evapotranspiration (ETc) is crucial for agronomic and water resource management, but accurate forecasting has been a challenge. In this study, real-time short and medium-term ETc forecast models were developed based on dynamic crop coefficient and historical threshold modification. The results showed that the new models accurately predicted ETc for different crops, with higher accuracy in shorter forecast periods. The study also found that integrating historical empirical threshold further improved the accuracy of short and medium-term ETc forecast.
JOURNAL OF HYDROLOGY
(2022)
Article
Agronomy
Zhentao Zhang, Shuang Sun, Fangliang Zhang, Shibo Guo, Erjing Guo, Zhijuan Liu, Jin Zhao, Chuang Zhao, Tao Li, Xiaoguang Yang
Summary: This study highlights the importance of accurate radiation data in agricultural impact analyses. By comparing estimated radiation with measured radiation, it was found that using estimated radiation as input data leads to an overestimation of crop yields in China. The overestimation is greater in the south compared to the north, and greater for winter wheat compared to maize. Moreover, using estimated radiation exaggerates the negative impact of climate variability on simulated crop yield.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agronomy
Lili Zhangzhong, Hairong Gao, Wengang Zheng, Jianwei Wu, Jingjing Li, Dequn Wang
Summary: This study aims to understand crop evapotranspiration and develop models to estimate it, in order to efficiently schedule irrigation. The study proposes a new approach of non-destructive online acquisition of evapotranspiration data using mobile phones. The models developed in the study show high accuracy and performance in estimating water requirements for different types of lettuce.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agronomy
Munashe Mashabatu, Zanele Ntshidi, Sebinasi Dzikiti, Nebojsa Jovanovic, Timothy Dube, Nicky J. Taylor
Summary: Inaccurate crop coefficients lead to inefficient use of water resources. This study evaluated the method of deriving crop coefficients developed by Allen and Pereira (2009) for various irrigated fruit tree crops in South Africa. The study adjusted the stoma-tal sensitivity function in the model by replacing the ratio of the leaf resistance to the standard leaf resistance with a resistance parameter specific to each crop. The derived crop coefficients were standardized and tabulated for transferability between sites, but more crop-specific information is needed to improve accuracy.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agronomy
Si Yang Han, Thomas Francis Aloysius Bishop, Patrick Filippi
Summary: By utilizing advanced technology and data, it is possible to forecast sugarcane yield in the Australian sugar industry, helping growers to better manage agricultural resources.
FIELD CROPS RESEARCH
(2022)
Article
Multidisciplinary Sciences
Doudou Guo, Jiaxiang Juan, Liying Chang, Jingjin Zhang, Danfeng Huang
SCIENTIFIC REPORTS
(2017)
Article
Plant Sciences
Xiao Yang, Xiaoxian Cui, Li Zhao, Doudou Guo, Lei Feng, Shiwei Wei, Chao Zhao, Danfeng Huang
FRONTIERS IN PLANT SCIENCE
(2017)
Article
Plant Sciences
Xiao Yang, Shiwei Wei, Bin Liu, Doudou Guo, Bangxiao Zheng, Lei Feng, Yumin Liu, Francisco A. Tomas-Barberan, Lijun Luo, Danfeng Huang
HORTICULTURE RESEARCH
(2018)
Article
Engineering, Multidisciplinary
Shunkui Ke, Doudou Guo, Qingliang Niu, Danfeng Huang
ENGINEERING OPTIMIZATION
(2015)
Article
Multidisciplinary Sciences
Xiaotao Ding, Yuping Jiang, Hong Zhao, Doudou Guo, Lizhong He, Fuguang Liu, Qiang Zhou, Dilip Nandwani, Dafeng Hui, Jizhu Yu
Proceedings Paper
Automation & Control Systems
Xiao Yang, Jingjin Zhang, Doudou Guo, Xin Xiong, Liying Chang, Qingliang Niu, Danfeng Huang