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Enhanced strawberry image classification using multi-task deep neural learning., , and . SAC, page 971-978. ACM, (2022)A family of IDMRL tests with unknown turning point, and . Statistics, 37 (5): 457--462 (2003)Predicting the Yields of Field Vegetable Using the Multiple Functional Regression Model., , and . ICUFN, page 632-635. IEEE, (2019)Testing whether failure rate changes its trend with unknown change points, , and . Journal of Statistical Planning and Inference, 129 (1-2): 317--325 (Feb 15, 2005)Determination on environmental factors and growth factors affecting tomato yield using pattern recognition techniques., , and . Multimedia Tools Appl., 78 (20): 28815-28834 (2019)Discrimination of Environmental Factors Affecting Strawberry Yield., , , , , and . Intelligent Environments (Workshops), volume 23 of Ambient Intelligence and Smart Environments, page 79-86. IOS Press, (2018)New concepts of principal component analysis based on maximum separation of clusters., , , and . Commun. Stat. Simul. Comput., 51 (5): 2429-2439 (2022)A modified least angle regression algorithm for interaction selection with heredity., , , and . Stat. Anal. Data Min., 15 (5): 630-647 (2022)A survey on smart farming data, applications and techniques., , , , , and . Comput. Ind., (2022)Duo Attention with Deep Learning on Tomato Yield Prediction and Factor Interpretation., , , and . PRICAI (3), volume 11672 of Lecture Notes in Computer Science, page 704-715. Springer, (2019)