Results 91 to 100 of about 37,961 (191)

A knowledge-informed fusion network for process-aware crop yield prediction

International Journal of Applied Earth Observations and Geoinformation
Crop yield prediction is crucial for food security and agricultural decision-making. Conventional approaches struggle to reconcile the heavy parameter reliance of process-based models with the extensive label dependencies of data-driven models.
Ruixin Fang, Lei Yu, Nan Xie, Kexin Wang, Keyi Rao, Liheng Zhong, Jingdong Chen, Zhaocong Wu   +7 more
doaj   +1 more source

An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms. [PDF]

F1000Res, 2021
Anbananthen KSM, Subbiah S, Chelliah D, Sivakumar P, Somasundaram V, Velshankar KH, Khan MKAA.   +6 more
europepmc   +1 more source

A Spatio-temporal Model for Agricultural Yield Prediction

The paper presents a spatio-temporal statistical model of agricultural yield prediction based on spatial mixtures of distributions. The proposed method combines several hierarchical and sequential Bayesian estimation procedures that allow the general ...
Tokovenko, Oleksiy, Dorfman, Jeffrey H., Gunter, Lewell F.   +2 more
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Crop Yield Prediction using CNN

International Journal of Advanced Research in Science, Communication and Technology
Deep learning is a branch of Machine Learning which is completely based on artificial neural networks, as neural networks are going to mimic the human brain so deep learning is also a kind of mimic of the human brain. Farming is the main occupation of India.
null Ritik Bohra, null Shrunkhal More, null Shwetal Kamat, null Rishabh Pathak, null Prof. Manisha Shitole   +4 more
openaire   +1 more source

Optimal Timing of Carrot Crop Monitoring and Yield Assessment Using Sentinel-2 Images: A Machine-Learning Approach

Applied Sciences
Remotely sensed images provide effective sources for monitoring crop growth and the early prediction of crop productivity. To monitor carrot crop growth and yield estimation, three 27 ha center-pivot irrigated fields were studied to develop yield ...
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Mohamed K. Edrris, Haroon F. Edrees, Ahmed A. Alameen   +5 more
doaj   +1 more source

Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt. [PDF]

Sci Rep, 2021
Shahhosseini M, Hu G, Huber I, Archontoulis SV.   +3 more
europepmc   +1 more source

INCORPORATION OF WITHIN-SEASON YIELD GROWTH INTO A MATHEMATICAL PROGRAMMING SUGARCANE HARVEST SCHEDULING MODEL

This study focuses on the development of a optimal harvest scheduling mathematical programming model which incorporates within-season changes in perennial crop yields.
Salassi, Michael E., Champagne, Lonnie P., Legendre, Benjamin L.   +2 more
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Pre-harvest Forecasting of County Wheat Yield and Wheat Quality Conditional on Weather Information

Wheat regression models that account for the effect of weather are developed to forecast wheat yield and quality. Spatial lag effects are included. Wheat yield, protein, and test weight level are strongly influenced by weather variables.
Kenkel, Philip L., Lee, Byoung-Hoon, Brorsen, B. Wade   +2 more
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Developing sugar cane yield prediction algorithms from satellite imagery [PDF]

, 2012
THE RESEARCH PRESENTED in this paper discusses the accuracies of remote sensing and GIS as yield prediction tools at both a regional and crop scale over three Australian cane growing regions; Bundaberg, Burdekin and the Herbert.
Robson, Andrew, Abbott, Chris, Bramley, Rob, Lamb, David   +3 more
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Energy crop yield simulation and prediction system based on machine learning algorithm

, 2023
The yield of energy crops has been widely questioned by the public, but few researchers have analyzed the yield prediction of these crops, which has greatly limited their distribution and use.
Lıu, Zhidong, Zhang, Jie
core