Determination of wheat seeding success with remote sensing technology and development of re-seeding decision support system

In this thesis, it was aimed to observing wheat fields planting uniformity and re-plant of the areas where were unsuccess planting. Landsat 5 TM and Sentinel-2 satellite data were used for observing wheat planting uniformities. The area of no plant, no germinated or very low germinated were determined as a unsuccessful areas. A decision support system was developed to determine the areas to be re-planted. Remote sensing technique was used for the decision support system. After lower reference areas to be re-planted were determined, re-planting was carried out by following the climate data and soil conditions in these areas. Yield parameters in re-planted areas and successful planted areas were also found out in the trials. These were yield (kg/da), number of grains per spike (piece) and weight of thousand grains (g). The research was carried out in the Yagci Village of the Suleymanpasa, Tekirdag. According to the results of the research, the minimum area that can be re-planted economically was determined as 200 m2. NDVI values were determined by processing the satellite data of the experimental areas. The NDVI values of October, November, December, January and February, when green vegetation can be observed, were evaluated. The planting was carried out on October 15, 2021. And re-plant was on 30 November 2021. Re-planted areas yielded 14% less yield than the previous planted areas. Since emergence of seed rate were equal in both areas, there was no change in the number of spikes. Although no change was observed in the number of spikes, the number of grains per spike was determined to be 6% less in the re-planted areas. As a result of the research, it has been determined that significant profit can be obtained by re-planting the areas that unsuccessful planting.