Shaokun Li
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View article: Decadal changes in wind speed have offset and then aggravated the impact of warming on maize production in China since 1980
Decadal changes in wind speed have offset and then aggravated the impact of warming on maize production in China since 1980 Open
Wind is a critical meteorological factor for crop production, yet the effect of its long-term changes on crop yield has not been adequately discussed. Here, we assess the effect of wind on maize yield and production in China with statistic…
View article: Optimizing nitrogen application frequency to enhance the post‐flowering matter accumulation, yield and water/nitrogen use efficiency of densely planted and drip‐irrigated maize
Optimizing nitrogen application frequency to enhance the post‐flowering matter accumulation, yield and water/nitrogen use efficiency of densely planted and drip‐irrigated maize Open
BACKGROUND Maize yield stability is crucial for China's national food security. Conventional irrigation and nitrogen application methods have problems like low yield, inefficiency and environmental pollution. Optimizing water/fertilizer ma…
View article: Maize Plant Morphology Affects Resistance to Stalk Breaking by Affecting Plant Stress
Maize Plant Morphology Affects Resistance to Stalk Breaking by Affecting Plant Stress Open
The critical wind speed for stalk breaking is a direct and rapid method for evaluating stalk-breaking resistance. Maize lodging resistance is determined by the plant’s wind-induced stress and the stalk’s mechanical strength, yet the factor…
View article: Drip Fertigation Improves Maize Yield, Resource Utilization, and Economic Benefits by Increasing Light Interception Under Dense Planting in Southwest China
Drip Fertigation Improves Maize Yield, Resource Utilization, and Economic Benefits by Increasing Light Interception Under Dense Planting in Southwest China Open
Seasonal drought and traditional water‐fertilizer management limit the increase in the grain yield of summer maize in Southwest China. Drip fertigation mode (HM) can effectively improve crop yields. However, research on drip fertigation ha…
View article: AID-YOLO: An Efficient and Lightweight Network Method for Small Target Detector in Aerial Images
AID-YOLO: An Efficient and Lightweight Network Method for Small Target Detector in Aerial Images Open
The progress of object detection technology is crucial for obtaining extensive scene information from aerial perspectives based on computer vision. However, aerial image detection presents many challenges, such as large image background si…
View article: Increasing plant density improved maize yield without penalty of harvest grain moisture in extensive field trials
Increasing plant density improved maize yield without penalty of harvest grain moisture in extensive field trials Open
The harvest moisture content (MC) of maize (Zea mays L.) is an important factor affecting industrial processing and harvest quality. However, higher MC levels may escalate drying expenses during production. While augmented plant density ha…
View article: Optimizing Maize Yield and Resource Efficiency Using Surface Drip Fertilization in Huang-Huai-Hai: Impact of Increased Planting Density and Reduced Nitrogen Application Rate
Optimizing Maize Yield and Resource Efficiency Using Surface Drip Fertilization in Huang-Huai-Hai: Impact of Increased Planting Density and Reduced Nitrogen Application Rate Open
Improving crop yield and resource utilization efficiency is essential for agricultural productivity. In the Huang-Huai-Hai maize region of China, optimizing planting density, nitrogen (N) application, and fertilization methods are key stra…
View article: Comparison and Optimal Method of Detecting the Number of Maize Seedlings Based on Deep Learning
Comparison and Optimal Method of Detecting the Number of Maize Seedlings Based on Deep Learning Open
Effective agricultural management in maize production operations starts with the early quantification of seedlings. Accurately determining plant presence allows growers to optimize planting density, allocate resources, and detect potential…
View article: MTP-YOLO: You Only Look Once Based Maritime Tiny Person Detector for Emergency Rescue
MTP-YOLO: You Only Look Once Based Maritime Tiny Person Detector for Emergency Rescue Open
Tiny person detection based on computer vision technology is critical for maritime emergency rescue. However, humans appear very small on the vast sea surface, and this poses a huge challenge in identifying them. In this study, a single-st…
View article: Photosynthetic capacity and assimilate transport of the lower canopy influence maize yield under high planting density
Photosynthetic capacity and assimilate transport of the lower canopy influence maize yield under high planting density Open
Photosynthesis is a major trait of interest for the development of high-yield crop plants. However, little is known about the effects of high-density planting on photosynthetic responses at the whole-canopy level. Using the high-yielding m…
View article: Comparison of Drone-Assisted Maize Seedling Detection Models Based on Deep Learning
Comparison of Drone-Assisted Maize Seedling Detection Models Based on Deep Learning Open
Effective agricultural management in maize production operations starts with the early quantification of seedlings. Accurately determining plant presence allows growers to optimize planting density, allocate resources, and detect potential…
View article: Increasing Planting Density and Optimizing Irrigation to Improve Maize Yield and Water-Use Efficiency in Northeast China
Increasing Planting Density and Optimizing Irrigation to Improve Maize Yield and Water-Use Efficiency in Northeast China Open
We investigated the effects of variety, planting density, and irrigation amount on grain yield, water-use efficiency (WUE), and evapotranspiration (ETc). The trial was conducted in Tong Liao, Inner Mongolia, from 2021 to 2022, with compact…
View article: A Residual Network with Efficient Transformer for Lightweight Image Super-Resolution
A Residual Network with Efficient Transformer for Lightweight Image Super-Resolution Open
In recent years, deep learning approaches have achieved remarkable results in the field of Single-Image Super-Resolution (SISR). To attain improved performance, most existing methods focus on constructing more-complex networks that demand …