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A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop

Irrigation plays a crucial role in maize cultivation, as watering is essential for optimizing crop yield and quality, particularly given maize’s sensitivity to soil moisture variations. In the current study, a hybrid Long Short-Term Memory (LSTM) approach is presented aiming to predict irrigation sc...

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Guardat en:
Autors principals: Konstantinos Dolaptsis, Xanthoula Eirini Pantazi, Charalampos Paraskevas, Selçuk Arslan, Yücel Tekin, Bere Benjamin Bantchina, Yahya Ulusoy, Kemal Sulhi Gündoğdu, Muhammad Qaswar, Danyal Bustan, Abdul Mounem Mouazen
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2024-01-01
Col·lecció:Agriculture
Matèries:
precision agriculture
artificial intelligence
long short-term memory
predictive control
deep learning
moisture content
Accés en línia:https://www.mdpi.com/2077-0472/14/2/210
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