Seasonal crop yield forecast: Methods, applications, and accuracies
The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …
Methodological evolution of potato yield prediction: a comprehensive review
Y Lin, S Li, S Duan, Y Ye, B Li, G Li, D Lyv… - Frontiers in Plant …, 2023 - frontiersin.org
Timely and accurate prediction of crop yield is essential for increasing crop production,
estimating planting insurance, and improving trade benefits. Potato (Solanum tuberosum L.) …
estimating planting insurance, and improving trade benefits. Potato (Solanum tuberosum L.) …
[PDF][PDF] 农业遥感研究现状与展望
史舟， 梁宗正， 杨媛媛， 郭燕 - 农业机械学报, 2015 - researchgate.net
遥感技术具有覆盖面积大, 重访周期短, 获取成本相对低等优势, 对大面积露天农业生产的调查,
评价, 监测和管理具有独特的作用. 从20 世纪70 年代出现民用资源卫星后 …
评价, 监测和管理具有独特的作用. 从20 世纪70 年代出现民用资源卫星后 …
[HTML][HTML] Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops
A Kross, H McNairn, D Lapen, M Sunohara… - International Journal of …, 2015 - Elsevier
Leaf area index (LAI) and biomass are important indicators of crop development and the
availability of this information during the growing season can support farmer decision …
availability of this information during the growing season can support farmer decision …
The application of multiple linear regression and artificial neural network models for yield prediction of very early potato cultivars before harvest
Yield forecasting is a rational and scientific way of predicting future occurrences in
agriculture—the level of production effects. Its main purpose is reducing the risk in the …
agriculture—the level of production effects. Its main purpose is reducing the risk in the …
Monitoring within-field variability of corn yield using Sentinel-2 and machine learning techniques
Monitoring and prediction of within-field crop variability can support farmers to make the right
decisions in different situations. The current advances in remote sensing and the availability …
decisions in different situations. The current advances in remote sensing and the availability …
Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …
Potato yield prediction using machine learning techniques and sentinel 2 data
Traditional potato growth models evidence certain limitations, such as the cost of obtaining
the input data required to run the models, the lack of spatial information in some instances …
the input data required to run the models, the lack of spatial information in some instances …
A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation
Rice is one of the most important food crops worldwide, and large-scale rice yield estimation
is thus critical for planners to formulate successful strategies to address food security and …
is thus critical for planners to formulate successful strategies to address food security and …
Prediction of potato crop yield using precision agriculture techniques
Crop growth and yield monitoring over agricultural fields is an essential procedure for food
security and agricultural economic return prediction. The advances in remote sensing have …
security and agricultural economic return prediction. The advances in remote sensing have …