@article{Karadağ*_2022, title={Computer aided decision making to use optimum water in safflower growing}, volume={34}, url={https://ejfa.me/index.php/journal/article/view/2948}, DOI={10.9755/ejfa.2022.v34.i9.2948}, abstractNote={<p><span id="page1940R_mcid158" class="markedContent"><span dir="ltr" role="presentation">n plants, it is one of the important factors to provide ecological factors for productivity. Plants perceive the effects of environmental factors</span></span><span id="page1940R_mcid159" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">outside as stress and create appropriate physiological responses in their metabolism. Water stress is a type of abiotic stress and is one</span></span><span id="page1940R_mcid160" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">of the important factors affecting the growth and development of plants. Irrigation water management is very important for sustainable</span></span><span id="page1940R_mcid161" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">use of water resources. Therefore, support tools are becoming increasingly important in deciding irrigation. With the developments the</span></span><span id="page1940R_mcid162" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">technology, computerized support applications are usually used in agricultural areas. In the study, it is aimed to determine the effects of</span></span><span id="page1940R_mcid163" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">irrigation applications performed in different periods on yield quality and spectral reflections of safflower plant and to create applicable</span></span><span id="page1940R_mcid164" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">irrigation programs in safflower cultivation. From the reflections detained from safflower leaves by using spectroradiometer device, the</span></span><span id="page1940R_mcid165" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">determination of safflower plant according to water ratio different situations is done. Reflections are taken as three groups where the</span></span><span id="page1940R_mcid166" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">plants are grown at wavelengths of 325</span> <span dir="ltr" role="presentation">nm to 1075</span> <span dir="ltr" role="presentation">nm. Water due diligence related with safflower is consist of two stages. The first</span></span><span id="page1940R_mcid167" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">stage is the provision of the feature vector, the second stage is the classification of the feature vector related to data. As classification</span></span><span id="page1940R_mcid168" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">methods, support vector machine, k-nearest neighbor and decision tree are used. In comparison of three groups, the average value of</span></span><span id="page1940R_mcid169" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">the performance is high. As a result, considering the fallowed method and the procedure used, it is evaluated that such studies can be</span></span><span id="page1940R_mcid170" class="markedContent"><br role="presentation"><span dir="ltr" role="presentation">used in agriculture and cultivation.</span></span></p>}, number={9}, journal={Emirates Journal of Food and Agriculture}, author={Karadağ*, Kerim}, year={2022}, month={Nov.} }