Application of artificial neural networks for the prediction of quality characteristics of potato tubers - Innovator variety
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- Type
- article
- Published
- 2018-01-01
- Cited by
- 2
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W2980095095
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:209964625
Keywords
Innovator, Artificial neural network, Variety (cybernetics), Quality (philosophy), Artificial intelligence
References
- Seed yield prediction of sesame using artificial neural network
- Application of artificial neural network in predicting crop yield: a review
- Suitability of potato varieties grown in north-eastern Indian plains for processing.
- Wpływ warunków opadowo-termicznych na skład chemiczny oraz wybrane parametry jakości bulw średnio późnych i późnych odmian ziemniaka jadalnego
- Zmiennosc cech jakosciowych bulw ziemniaka odmiany Mila uprawianego na glebie lekkiej w zaleznosci od warunkow pogodowych
- CONVERSION TABLE FOR SPECIFIC GRAVITY, DRY MATTER AND STARCH CONTENT FROM UNDER WATER WEIGHT OF POTATOES GROWN IN NORTH-INDIAN PLAINS
- Wykorzystanie technik neuronowych w praktyce rolniczej
- Application of Artificial Neural Network in Predicting Farmers’ Response to Water Management Decisions on Wheat Yield
- Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction
- Application of soft computing to predict blast-induced ground vibration
- Influence of fertilizer management and soil fertility on tuber specific gravity: a review
- Evaluation of growth performance and dry matter partitioning of four processing potato (Solanum tuberosum) cultivars
- Yield and Price Forecasting for Stochastic Crop Decision Planning
- Variability analysis of selected quantitative characteristics in edible potato varieties
- Potato Breeding Lines Suitable For Production of Frozen French Fries
- A self-organizing cascade neural network with random weights for nonlinear system modeling
- Use of computer image analysis methods to evaluate the quality topping sugar beets with using artificial neural networks
- Wpływ warunków środowiskowych na zawartość skrobi w bulwach odmian ziemniaka średnio wczesnego
- BREEDING POTATO FOR QUALITY TRAITS
- Regression-based models for the prediction of unconfined compressive strength of artificially structured soil
Cited by
- Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data
- Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
- Neural Network-Based Modeling for Precise Potato Yield Prediction Using Soil Parameters