A wide range of literature sources was explored to conduct this review, including journal articles, annual report, newspaper articles, and conference proceedings. The main keywords chosen in this study to conduct searches were "COVID-19," "agriculture," "impact," "crop production," "livestock sector," "aquaculture and fisheries sector," "Bangladesh," "COVID-19 recovery," "agro-based industries," "fruits production and marketing," and "international trade." The search included both scientific and gray literature relevant to our research topic. The scientific literature included both peer-reviewed and nonpeer-reviewed articles, whereas gray literature comprised annual organizational and governmental reports. Google Scholar, Scopus, ProQuest, and Web of Science were among the databases searched.Other sources of retrieving literature included concurrent newspaper articles and different reports. The results of these searches were confined to English literature published between the years 2020 and 2021, which coincides with COVID-19's arrival. It is important to note that we were unable to follow the systematic literature review due to the unavailability of research articles in all sub-sectors of agriculture, allowing us to offer an overview of the impact instead. As a result, we relied on some reports from international and national agencies, government reports, and working papers alongside the published research articles to create an overview.The incorporation of secondary data in conjunction with a survey of related literature constitutes the mixed method approach employed in this study. This is because, in the mid-stage of COVID-19, not all parts of the agriculture sectors were adequately explored; as a result, no literature was accessible on certain issues, such as the change in the price of agricultural commodities. As a result, we gathered secondary data from the government database that updates the daily pricing data of various major agricultural commodities in order to illustrate the impact. However, the secondary data used in this study was collected from the website of the Department of Agricultural Marketing (http://www.dam.gov.bd/), Ministry of Agriculture, Government of Peoples Republic of Bangladesh. In addition, we identified multiple break dates in farm-level broiler meat, egg, and milk prices using the Bai-perron test to pinpoint the exact date when the situation worsened due to the coronavirus pandemic.