M. Nejat
2015
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom M. Nejat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from M. Nejat's perspective
Ordered by how strongly the researchers M. Nejat trusts endorse each paper. Same corpus, a different order for every researcher.
- A review of energy models
- Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
- Artificial neural networks for corn and soybean yield prediction
- Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach
- Quantification of grain yield response to soil depth in Soybean, Maize, Sunflower, and Wheat
- Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology
- Differences in hydraulic architecture account for near‐isohydric and anisohydric behaviour of two field‐grown Vitis vinifera L. cultivars during drought
- Irrigation scheduling protocols using continuously recorded trunk diameter measurements (Irrigation science)
- Water relations and gas exchange in olive trees under regulated deficit irrigation and partial rootzone drying (Plant and Soil)
- Physiological tools for irrigation scheduling in grapevine (Vitis vinifera L.): An open gate to improve water-use efficiency?