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Identification of variables affecting production outcome in prawn ponds: A machine learning approach.

, , and . Comput. Electron. Agric., (2019)

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Predicting Shellfish Farm Closures with Class Balancing Methods., , and . Australasian Conference on Artificial Intelligence, volume 7691 of Lecture Notes in Computer Science, page 39-48. Springer, (2012)Identification of mature grape bunches using image processing and computational intelligence methods., and . CIMSIVP, page 54-59. IEEE, (2014)Algae Growth Prediction through Identification of Influential Environmental Variables: a Machine Learning Approach., and . International Journal of Computational Intelligence and Applications, (2013)A Temporal Texture Characterization Technique Using Block-Based Approximated Motion Measure., and . IEEE Trans. Circuits Syst. Video Techn., 17 (10): 1370-1382 (2007)Sequence-to-Sequence Imputation of Missing Sensor Data., and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 265-276. Springer, (2019)Robotic Edge Resource Allocation for Agricultural Cyber-Physical System., , , , , and . IEEE Trans. Netw. Sci. Eng., 9 (6): 3979-3990 (2022)Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey., , , , , and . CoRR, (2021)Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management., , , , and . CoRR, (2022)Quality of Service Support in Wireless Ad Hoc Networks., and . Guide to Wireless Ad Hoc Networks, Springer, (2009)Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning., and . IEEE Trans. Knowl. Data Eng., 24 (4): 605-618 (2012)