Any country's economy must prioritise the sustainable development of agriculture and related services. Understanding the effect of intelligent computing on sustainable agriculture requires examining the different challenges this study has brought up. About 600 research papers on intelligent computing for sustainable agriculture were gathered for the qualitative study. Additionally, 66 papers from the research papers that took a proper screening for relevance were selected. These papers have been divided into three categories: blockchain applications for sustainable agriculture, blockchain applications for IoT in agriculture, and the impact of machine learning and blockchain on agriculture. It was noted in all of the studies that there is growing interest in using technology for sustainable agriculture, and it was also noted that the majority of the study has only recently been started. Therefore, the application of modern technologies for security, trust, and confidentiality among stockholders may make sustainable agriculture viable.