Estimation of Dry Matter Production and Yield Prediction in Greenhouse Cucumber without Destructive Measurements
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- Kelvin López-Aguilar & Adalberto Benavides-Mendoza & Susana González-Morales & Antonio Juárez-Maldonado & Pamela Chiñas-Sánchez & Alvaro Morelos-Moreno, 2020. "Artificial Neural Network Modeling of Greenhouse Tomato Yield and Aerial Dry Matter," Agriculture, MDPI, vol. 10(4), pages 1-14, April.
- Dayan, E. & van Keulen, H. & Jones, J. W. & Zipori, I. & Shmuel, D. & Challa, H., 1993. "Development, calibration and validation of a greenhouse tomato growth model: II. Field calibration and validation," Agricultural Systems, Elsevier, vol. 43(2), pages 165-183.
- Dayan, E. & van Keulen, H. & Jones, J. W. & Zipori, I. & Shmuel, D. & Challa, H., 1993. "Development, calibration and validation of a greenhouse tomato growth model: I. Description of the model," Agricultural Systems, Elsevier, vol. 43(2), pages 145-163.
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empirical model; leaf area index; light extinction coefficient; light use efficiency;All these keywords.
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