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Application of digital technologies for ensuring agricultural productivity
Over the decades, agri-food security has become one of the most critical concerns in the
world. Sustainable agri-food production technologies have been reliable in mitigating …
world. Sustainable agri-food production technologies have been reliable in mitigating …
Translating high-throughput phenoty** into genetic gain
Inability to efficiently implement high-throughput field phenoty** is increasingly perceived
as a key component that limits genetic gain in breeding programs. Field phenoty** must …
as a key component that limits genetic gain in breeding programs. Field phenoty** must …
Soybean yield prediction from UAV using multimodal data fusion and deep learning
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
Rapid and accurate biomass and yield estimation facilitates efficient plant phenoty** and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
Prediction of winter wheat yield based on multi-source data and machine learning in China
Wheat is one of the main crops in China, and crop yield prediction is important for regional
trade and national food security. There are increasing concerns with respect to how to …
trade and national food security. There are increasing concerns with respect to how to …
Crop monitoring using satellite/UAV data fusion and machine learning
Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenoty**, as well as decision making with regards to …
in precision agriculture and plant phenoty**, as well as decision making with regards to …
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning
Agricultural management at field-scale is critical for improving yield to address global food
security, as providing enough food for the world's growing population has become a wicked …
security, as providing enough food for the world's growing population has become a wicked …
Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning
An accurate in-field estimate of soil moisture content (SMC) is critical for precision irrigation
management. Current ground methods to measure SMC were limited by the disadvantages …
management. Current ground methods to measure SMC were limited by the disadvantages …
Evaluating soil moisture content under maize coverage using UAV multimodal data by machine learning algorithms
Timely and accurate estimation of soil moisture content (SMC) is essential for precise
irrigation management at the farm scale. Unmanned aerial vehicle (UAV) remote sensing …
irrigation management at the farm scale. Unmanned aerial vehicle (UAV) remote sensing …
Combining multi-source data and machine learning approaches to predict winter wheat yield in the conterminous United States
Winter wheat (Triticum aestivum L.) is one of the most important cereal crops, supplying
essential food for the world population. Because the United States is a major producer and …
essential food for the world population. Because the United States is a major producer and …