Research on the Development of Decision Support Systems in Crop Breed-ing through AI
This study proposes model parameter adjustments,data cleaning and preprocessing strategies,and ad-dresses the challenges of farmer training and user acceptance,based on the data quality and the applicability of de-cision support systems in practical agriculture.Additionally,through experimental results and performance analy-sis,the study evaluates existing systems and showcases application cases in actual farms.By conducting in-depth research on precision agriculture,the application of machine learning and deep learning technologies in crop pre-diction and genomics,and the design and optimization of decision support systems,this study aims to enhance the efficiency of crop breeding.It seeks to provide advanced decision support tools for the agricultural sector,promote sustainable agricultural development,increase the efficiency of food production,and serve as a reference for fur-ther advancements in agricultural science and technology.
Artificial intelligence(AI)Crop breedingPrecision agricultureMachine learningDeep learningDecision support systems
NETL
NSTL
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