Abstract: Remote sensing data and field measurements were combined in this work to produce a simple yet reliable method for calculating tobacco hectarage and yield in Zimbabwe. Tobacco yield projections are currently based on seed purchase records. Land area records, and a visual assessment of the crop. This is prohibitively, time-consuming, and unreliable. Starting in September-2010 and endingin September-2013, Landsat Thematic Mapper Composite of agricultural field boundaries in pseudo natural Colour (TM) Satellite imagery was Digitised and graphically interpreted. MODIS photos that are cloud-free and cover the time period the data was retrieved and georeferenced data from September until the end of march. The NDVI was calculated for every MODIS image. Estimated. These crops’ mean temporal NDVI profiles for these crops were created. using data from sampled tobacco farms calculate and compared on its own. According to the findings of this study, the third to fourth weeks of November and the third to fourth weeks of February are the best times for distinguishing irrigated from non-irrigated tobacco on MODIS NDVI data. Model of regression in comparison to the previous three seasons, the average yield projections were 98.8% accurate. The traditional method received 122 percent of the vote.
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DOI:
10.17148/IJARCCE.2022.11509
