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'APPRENTISSAGE AUTOMATIQUE' 
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Article
C. Coman ; E. Coman ; V. Gherhes ; A. Bucs ; D. Rad |The growing demand for sustainable food production has driven significant advancements in modern agriculture, including increasing interest in Controlled Environment Agriculture (CEA), a high-tech solution designed to provide fresh, local, and o[...]
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Y. Xu ; A. Albalawneh ; M. Al-Zoubi ; H. Baroud |Climate variability poses a significant threat to crop production in arid and semi-arid regions, where droughts are becoming more frequent and intense. This study employs a variance-based sensitivity analysis combined with machine learning to as[...]
Article
Artificial intelligence (AI) techniques, particularly machine learning and deep learning, have shown great promise in advancing wheat crop monitoring and management. However, the application of AI in this domain faces persistent challenges that [...]
Article
Modern technologies are continuously entering every aspect of our lives...
Article
J. Botero-Valencia ; V. García-Pineda ; A. Valencia-Arias ; J. Valencia ; E. Reyes-Vera ; M. Mejia-Herrera ; R. Hernández-García |Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision agriculture improves agricultural productivity and profitability while reducing costs[...]
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Article
K.P. Devkota ; A. Bouasria ; M. Devkota ; V. Nangia |Wheat plays a crucial role in Morocco?s food security, economic stability, and livelihoods of farming communities. Assessing key vegetation indices (as yield predictors), along with understanding potential yield, yield gap, and major determinant[...]
Article
T.L. Mthembu ; R. Kunz ; S. Gokool ; T. Mabhaudhi |There is growing interest in promoting neglected and underutilized crop species to enhance agrobiodiversity and contribute to food systems transformation under climate change. A lack of available measured data has hindered the mainstreaming of t[...]
Ouvrage
V.J.P.D. Martinho | Cham [Suisse] : Springer | SpringerBriefs in Applied Sciences and Technology, ISSN 2191-530X | 2024This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. The book focuses on the agricultural s[...]
Ouvrage
S. Krishnan, ed. ; A.J. Anand, ed. ; N. Prasanth, ed. ; S. Goundar, ed. ; C. Ananth, ed. | Boca Raton [États-Unis] : CRC Press | 2024Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricult[...]
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