RSM and ANN Modeling of Camelina (<i>Camelina sativa</i> L. Crantz) Seed Yield as Affected by Nitrogen, Sulfur, Cow Manure, and Row Spacing

RSM and ANN Modeling of Camelina (<i>Camelina sativa</i> L. Crantz) Seed Yield as Affected by Nitrogen, Sulfur, Cow Manure, and Row Spacing

Camelina [<i>Camelina sativa</i> (L.) Crantz] is an annual versatile oilseed crop of the Brassicaceae family, with an increasingly cultivated area. Predicting camelina seed yield response to fertilization and planting density is of great importance in understanding production potential a...

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Bibliographic Details
Main Authors: Mohsen Yari, Asad Rokhzadi, Keyvan Shamsi, Babak Pasari, Abdol Rahman Rahimi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Horticulturae
Subjects:
artificial neural network
planting density
response surface methodology
seed yield prediction
Online Access:https://www.mdpi.com/2311-7524/10/1/66

Internet

https://www.mdpi.com/2311-7524/10/1/66

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