KSTAGE: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction
M Qiao, X He, X Cheng, P Li, Q Zhao, C Zhao… - Information Sciences, 2023 - Elsevier
Accurate and timely crop yield prediction is difficult to achieve due to the nonlinear and
dynamic spatial–temporal correlations included during the crop growth process. The latest …
dynamic spatial–temporal correlations included during the crop growth process. The latest …
[HTML][HTML] Deep multiview image fusion for soybean yield estimation in breeding applications
Reliable seed yield estimation is an indispensable step in plant breeding programs geared
towards cultivar development in major row crops. The objective of this study is to develop a …
towards cultivar development in major row crops. The objective of this study is to develop a …
Common practices and taxonomy in deep multi-view fusion for remote sensing applications
The advances in remote sensing technologies have boosted applications for Earth
observation. These technologies provide multiple observations or views with different levels …
observation. These technologies provide multiple observations or views with different levels …
Using machine learning enabled phenotyping to characterize nodulation in three early vegetative stages in soybean
The symbiotic relationship between soybean [Glycine max L.(Merr.)] roots and bacteria
(Bradyrhizobium japonicum) lead to the development of nodules, important legume root …
(Bradyrhizobium japonicum) lead to the development of nodules, important legume root …
Maize yield prediction based on multi-modality remote sensing and LSTM models in nitrogen management practice trials
Genotype x Environment x Management focused field studies are necessary to improve
policies related to nitrogen use. Time series data were acquired by multiple sensors on …
policies related to nitrogen use. Time series data were acquired by multiple sensors on …
Development of digital phenotyping methods for breeding applications in stress phenotyping, spatial adjustments, and end season yield prediction
ME Carroll - 2023 - search.proquest.com
Plant scientists now have a large array of sensors and phenotyping vehicles, which they are
able to exploit to collect large volumes of high dimensional data with minimal human labor …
able to exploit to collect large volumes of high dimensional data with minimal human labor …
[PDF][PDF] A DATA MINING FRAMEWORK TO MODEL INTERACTION DY-NAMICS BETWEEN FARMS AND ENVIRONMENT: CROP YIELDS MODELLING IN ECUADOR
MGP Hernandez - 2023 - doctoradoinformatica.epn.edu.ec
The objective is to employ these prediction to predict subsequent yields. More specifically, I
compare methods based on multiple regression (linear and non-linear), a machine learning …
compare methods based on multiple regression (linear and non-linear), a machine learning …
A Crop Model Based on Dual Attention Mechanism for Large Area Adaptive Yield Prediction
W Xiang, L Long, Z Liu, F Dai, Y Zhang, H Li… - Available at SSRN … - papers.ssrn.com
Accurate estimation of crop yield over a large geographical area is crucial for food security
and sustainable development. With the rapid advancement of machine learning, methods for …
and sustainable development. With the rapid advancement of machine learning, methods for …
Research Article Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications
Reliable seed yield estimation is an indispensable step in plant breeding programs geared
towards cultivar development in major row crops. The objective of this study is to develop a …
towards cultivar development in major row crops. The objective of this study is to develop a …