Climate-crop connection is extremely important in agriculture to build new data-intensive research opportunities in multidisciplinary agricultural technology. Current machine learning, deep learning algorithms, and specific crop models are used to generate new opportunities to unravel, measure, and understand data-intensive processes in agricultural operational environments. In this paper,a detailed study of the various agricultural technologies and the work analyzed are categorized into (a) Crop models (b) Weather Prediction (c) Machine learning in agriculture (d) deep learning in agriculture. Through using machine training for sensor data, agricultural management systems evolve into artificial intelligence applications allowing rich guidance and insights for promoting and acting farmer decisions. © 2019 by Advance Scientific Research.