- Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks 2020-06-11 Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction. Based on the nature of rapeseed, the number of tillering leaves is strongly related to its growth stages. However, no field study has been reported on estimating rapeseed stand count by the number ...
- Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks2020-06-11
- Simple Analysis of Split Award Auctions2020-05-30
- Within-Season Producer Response to Warmer Temperatures: Defensive Investments by Kenyan Farmers2020-05-26
- Improving potential of nitrogen linked gray water footprint in China's intensive cropping systems2020-05-20
- Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection2020-04-30
- Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: performance and influencing factors2020-04-12
- Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring2020-04-09
- Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory2020-04-04
- The Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of Soybean and Maize Yields in the Midwestern USA2020-03-31
- Evaluation of Global Decametric-Resolution LAI, FAPAR and FVC Estimates Derived from Sentinel-2 Imagery2020-03-13
- A radiative transfer model for solar induced fluorescence using spectral invariants theory2020-03-07
- Blockchain Technology for Agriculture: Applications and Rationale2020-02-23
- Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt2020-02-11
- Improving leaf area index retrieval over heterogeneous surface mixed with water2020-02-09
- A Radiative Transfer Model for Patchy Landscapes Based on Stochastic Radiative Transfer Theory2019-12-13
- 区块链技术在食品安全管理中的应用研究2019-09-30
- Assimilating Soil Moisture Retrieved from Sentinel-1and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation2019-07-28
