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Agriculture is certainly the most important food supplier while it globally accounts for more than 70% of water used and contributes significantly to water pollution. Irrigated agriculture is facing rising competition worldwide for access to reliable, low cost, and high-quality water resources. However, irrigation as the major tool and determinant of affecting agricultural productivity and environmental resources plays a critical role in food security and environment sustainability. Innovative irrigation technologies and practices may enhance agricultural water efficiency and production, in the meantime decrease the water demand and quality issues. I am very pleased to invite you to submit manuscripts in agricultural irrigation which assess current challenges and offer improvement approaches and opportunities for future irrigation.
benchmarking --- evaluation of performance --- performance indicator --- principal component analysis --- climate change adaptation --- irrigated crops --- net irrigation requirements --- crop evapotranspiration --- monthly changes --- irrigation water regimes --- leaf mineral composition --- semi-arid regions --- available water capacity --- biomass production --- total yield --- pumping plants --- energy audit --- life cycle assessment --- greenhouse gas emission --- center-pivot irrigation --- treated wastewater irrigation --- salinization --- model simulation --- global sensitivity analysis --- farming data --- precision agriculture --- site-specific irrigation --- deficit irrigation --- Mediterranean region --- tomato fruit yield --- irrigation water use efficiency --- downy mildew --- drip irrigation --- irrigation management --- organic production --- spinach --- cover crop --- lettuce production --- irrigation --- mulch --- row cover --- temperature variations --- water application rate --- slope gradient --- infiltration depth --- optimal irrigation time
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This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
genetic programming --- driving scoring functions --- driving events --- risky driving --- intelligent transportation systems --- mixture experiments --- single component constraints --- genetic algorithm --- IV-optimality criterion --- multiobjective optimization --- optimal control --- model order reduction --- model predictive control --- location routing problem --- rubber --- modify differential evolution algorithm --- vehicle routing problem --- differential evolution algorithm --- crop planning --- economic crops --- improvement differential evolution algorithm --- averaged Hausdorff distance --- evolutionary multi-objective optimization --- power means --- metric measure spaces --- performance indicator --- Pareto front --- surrogate-based optimization --- numerical simulations --- shape morphing --- bulbous bow --- open-source framework --- U-shaped assembly line balancing --- basic differential evolution algorithm --- improved differential evolution algorithm --- optimal solutions --- Genetic Programming --- Bloat --- NEAT --- Local Search --- EvoSpace --- improved differential evolution algorithm --- flexible job shop scheduling problem --- local search and jump search --- evolutionary computation --- multi-objective optimization --- decision space diversity
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