Artificial Neural Networks and its Role in Plant Breeding Under Drought Stress

Journal Title: Current Investigations in Agriculture and Current Research - Year 2018, Vol 1, Issue 2

Abstract

All plants need water for the process of photosynthesis to take place effectively. Lack of enough water in plants decreases stomata conductivity that limits the uptake of carbon dioxide which is a necessary element for photosynthesis. The best way of increasing yield and subsequent profit is by performing early detections and managing the problems relating to crop yield. It is, therefore, important to develop models to evaluate crop production behavior specifically weather as it helps in minimizing costs incurred through operation and analysis and evaluate stability In stimulating the egg plant relative water content's response to condition of weather of sis tan, two models; Multilayer Perception (MLP) and Artificial Neural Network (ANN) together with some input variables such as; the height of a plant, weight of a fruit, length of a fruit, widths of a fruit, number of fruits, fruit lengths ratio to its width, chlorophyll, total yield and canopy temperature were developed. According to the results obtained from the ANN model, it was found that the ANN Model was the best. This is because the results obtained from; training, testing phase's precision and validating had a very low absolute error of 0.035, 0.033 and 0.027 respectively for MLP 9-151in egg plant. The highest correlation coefficient characteristics were the selected network at the concurrently low amplitude among the sets: validation, training, and the test one 0.83, 0.86 and 0.83 respectively. In conditions of insufficient water that is during dry seasons, physiological and morphological responses shows that it leads to; a reduction in the fruit yield, plant vegetative development, quality, increase in stomata resistance and photosynthetic activity decreases [1]. Morphological and physiological responses under limited water conditions in dry weather condition, results commonly showed reduction in fruit yield, quality, plant vegetative development and increase in stomata resistance, decrease in photosynthetic activity [2-4]. Egg plant can present various shapes, colors and sizes given that it is a tropical fruit. However, this depends on the weather of cultivator, where it growth in [5]. Excessive soil moisture and deficiency gross effects on plant growth are known with drainage and irrigation. However, the farmer has higher chances of exercising control over the soil moisture than he or she can do with the other physical characteristics of the soil. This is a lively controversy which has been existing for several years concerning whether the available moisture is really equally available for growth of a plant or only available with the difficulties found in growth of a plant in that they are retarded even before they reach the wilting period. All these points of view have been summarized by [6] in their article reviews. Stress resistance crop genetic improvement needs investigation of probable physiological and Genetic improvement of crops for stress resistance requires investigation of probable physiological and results to attributes together with their genetic variation exploitation [7].

Authors and Affiliations

Mohammad Reza Naroui Rad

Keywords

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  • EP ID EP567423
  • DOI 10.32474/CIACR.2018.01.000106
  • Views 155
  • Downloads 0

How To Cite

Mohammad Reza Naroui Rad (2018). Artificial Neural Networks and its Role in Plant Breeding Under Drought Stress. Current Investigations in Agriculture and Current Research, 1(2), 33-35. https://europub.co.uk/articles/-A-567423