Results 91 to 100 of about 163,439 (186)

Engineering analysis of ERTS data for southeast Asian agriculture [PDF]

The present program focuses on rice because of its importance world-wide as a food. Specifically, the focus is on rice fields in the Philippines. Two primary program objectives are: (1) to establish the feasibility of extracting from ERTS imagery the ...
Heydt, H. L., Mcnair, A. J.
core   +1 more source

Estimating Bermudagrass Aboveground Biomass Using Stereovision and Vegetation Coverage

Remote Sensing
Accurate information about the amount of standing biomass is important in pasture management for monitoring forage growth patterns, minimizing the risk of overgrazing, and ensuring the necessary feed requirements of livestock.
Jasanmol Singh, Ali Bulent Koc, Matias Jose Aguerre, John P. Chastain, Shareef Shaik   +4 more
doaj   +1 more source

Using numerical plant models and phenotypic correlation space to design achievable ideotypes

, 2017
Numerical plant models can predict the outcome of plant traits modifications resulting from genetic variations, on plant performance, by simulating physiological processes and their interaction with the environment.
Casadebaig, Pierre, Costes, Evelyne, Da Silva, David, Faivre, Robert, Picheny, Victor, Trépos, Ronan, Vincourt, Patrick   +6 more
core   +1 more source

Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models. [PDF]

Sensors (Basel), 2022
Pham HT, Awange J, Kuhn M.
europepmc   +1 more source

Winter Wheat Yield Prediction Based on the ASTGNN Model Coupled with Multi-Source Data

Agronomy
Timely and accurate prediction of winter wheat yields, which is crucial for optimizing production management, maintaining supply–demand balance, and ensuring food security, depends on interactions among numerous factors, such as climate, surface ...
Zhicheng Ye, Xu Zhai, Tianlong She, Xiaoyan Liu, Yuanyuan Hong, Lihui Wang, Lili Zhang, Qiang Wang   +7 more
doaj   +1 more source

Choosing multiple linear regressions for weather-based crop yield prediction with ABSOLUT v1.2 applied to the districts of Germany. [PDF]

Int J Biometeorol, 2022
Conradt T.
europepmc   +1 more source

Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices. [PDF]

Sensors (Basel), 2022
Pham HT, Awange J, Kuhn M, Nguyen BV, Bui LK.   +4 more
europepmc   +1 more source

Crop growth models for the -omics era: the EU-SPICY project [PDF]

The prediction of phenotypic responses from genetic and environmental information is an area of active research in genetics, physiology and statistics.
Barócsi, A., Bink, M.C.A.M., Dieleman, J.A., Eeuwijk, F.A., van, Glasbey, C., Heijden, G.W.A.M., van der, Heuvelink, E., Magán, J., Palloix, A., Voorrips, R.E., Vuylsteke, M.   +10 more
core   +1 more source

Crop yield prediction integrating genotype and weather variables using deep learning. [PDF]

PLoS One, 2021
Shook J, Gangopadhyay T, Wu L, Ganapathysubramanian B, Sarkar S, Singh AK.   +5 more
europepmc   +1 more source

Adapting precision farming principles to organic crop production [PDF]

, 2006
Precision farming is a discipline that aims to increase efficiency in the management of agriculture throughout new technologies. Organic crop production systems in the future need to combine satisfactory productivity with long term sustainability.
David, C.
core