Results 141 to 150 of about 37,961 (191)

A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice. [PDF]

Plant Genome
Hu X, Xian L, Cao G, Liu S, Wang D, Che Y, Huang W, Lin Y, He L.   +8 more
europepmc   +1 more source

Soil test crop response based fertilizer calibration and soil nutrient forecasting for aerobic rice on Alfisols of Southern India. [PDF]

Sci Rep
Nagaraju B, Kadappa BP, Rangaiah KM, Kasturappa G, Hussain Sab MS, Veerabadraiah GG, Dey P.   +6 more
europepmc   +1 more source

Trait-based modeling of buffalograss seed yield using UAV-derived plant height and canopy nitrogen concentration. [PDF]

Front Plant Sci
Wang C, Qu X, Wang Y, Maes WH, Li M, Sun Y.   +5 more
europepmc   +1 more source

Genetic enhancement of root, tuber and cereal crops via pangenomics, multi-omics integration and AI-driven prediction. [PDF]

Front Plant Sci
Diakite S, Norman PE, Kamara L, Pehlivan N, Zargar M.   +4 more
europepmc   +1 more source

AI Based Crop Farming with Crop Yield Prediction

Iconic Research and Engineering Journals
openaire   +1 more source

Smart sensing-enabled risk-aware nitrogen prescriptions via conformal profit bounds for precision agriculture. [PDF]

Front Plant Sci
Khan A, Junaid A, Iqbal A, Iqbal S, Almuqren L, Husnain G, Bukhari SHR, Al-Naeem M.   +7 more
europepmc   +1 more source

A Robust Lemuria Framework for efficient crop prediction. [PDF]

Sci Rep
Tamilselvi M, Vishnupriya S, Ushanandhini K, Dhanamathi A.   +3 more
europepmc   +1 more source

Assimilation of satellite data in crop monitoring and yield prediction

, 1998
Werker, A. R., Steven, M. D., Milnes, M.
core  

Sustainable regional corn yield prediction for the United States through interpretable machine learning approach. [PDF]

Sci Rep
Kehkashan T, Abdelhaq M, Al-Shamayleh AS, Hamza M, Khan MA, Alharthi SZ, Akhunzada A.   +6 more
europepmc   +1 more source

Enhancing rapeseed biomass and yield estimation with ensemble learning and synergistic multidimensional features. [PDF]

J Zhejiang Univ Sci B
Zhang Y, Chai X, Hu J, Niu Y, Xu L.
europepmc   +1 more source