Prediction of the Effect of Nutrients on Plant Parameters of Rice by Artificial Neural Network - Shankar, Tanmoy; Malik, Ganesh Chandra; Banerjee, Mahua; Dutta, Sudarshan; Praharaj, Subhashisa; Lalichetti, Sagar; Mohanty, Sahasransu; Bhattacharyay, Dipankar; Maitra, Sagar; Gaber, Ahmed; Das, Ashok K.; Sharma, Ayushi; et al. (Agronomy (Basel), 2022)
Keywords: Agricultural production; agronomy; Amino acids; Analysis; artificial neural network; Artificial neural networks; Back propagation networks; Cereal crops; Crop growth; crop performance; Crop yield; Crop yields; dietary recommendations; digital agriculture; Dry matter; dry matter accumulation; Environmental management; Ethylenediaminetetraacetic acid; Experiments; Fertilizers; food security; grain yield; Leaf area; Leaf area index; Leaves; Loam soils; Mathematical models; Metabolism; Neural networks; Nitrogen; nutrient management; Nutrients; Parameters; Phosphorus; Plant growth; plant height; plant nutrients; Plants; Plants (botany); pollution; Potassium; prediction; Prediction models; Productivity; Propagation; Rice; Soil fertility; straw; Sulfur; Training; India