Predicting Eggplant Individual Fruit Weight Using an Artificial Neural Network-Reference-Cited by-同舟云学术

Predicting Eggplant Individual Fruit Weight Using an Artificial Neural Network

Published:2017-02-06 Issue:4 Volume:23 Page:331-339
ISSN:1931-5260
Container-title:International Journal of Vegetable Science
language:en
Short-container-title:International Journal of Vegetable Science

Author:

Naroui Rad Mohammad Reza¹,Ghalandarzehi Abdolrahim¹,Koohpaygani Jahangir Abbas²

Affiliation:

1. Horticulture Crops Research Department, Sistan Agriculture and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Zabol, Iran

2. Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization, Karaj, Iran

Publisher

Informa UK Limited

Subject

Plant Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19315260.2017.1290001

Reference19 articles.

1. Prediction of permeate flux decline in crossflow membrane filtration of colloidal suspension: a radial basis function neural network approach

2. Effect of Water Deficit Stress on Diffusive Resistance, Transpiration, and Spikelet Desiccation of Rice (Oryza sativa L.)

3. Seed yield prediction of sesame using artificial neural network

4. Forecasting maturity of green peas: An application of neural networks

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