SPECTRAL INDEX-BASED ESTIMATION OF TOTAL NITROGEN IN FORAGE MAIZE: A COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS

Spectral Index-Based Estimation of Total Nitrogen in Forage Maize: A Comparative Analysis of Machine Learning Algorithms

Nitrogen plays a fundamental role as a nutrient for the growth of leaves and the process of photosynthesis, as it directly influences the quality and yield of corn.The importance of knowing the foliar nitrogen content through Machine Learning algorithms will help determine the efficient use of nitrogen fertilization in a context of sustainable agro

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Online Dual-Network-Based Adaptive Dynamic Programming for Solving Partially Unknown Multi-Player Non-Zero-Sum Games With Control Constraints

In this article, a novel online method for multi-player non-zero-sum (NZS) differential games of nonlinear partially unknown continuous time (CT) systems with control constraints is developed based on neural networks (NN).The issue of multi-player NZS games with saturated actuator is elaborately analyzed and the unknown dynamics model is learned by

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Synaptotagmin 7 switches short-term synaptic plasticity from depression to facilitation by suppressing synaptic transmission

chinese pistache keith davey Abstract Short-term synaptic plasticity is a fast and robust modification in neuronal presynaptic output that can enhance release strength to drive facilitation or diminish it to promote depression.The mechanisms that determine whether neurons display short-term facilitation or depression are still unclear.Here we show

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