Optimization of Photosynthetic Rate Parameters using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Crop growth is greatly affected by light intensity, temperature and CO2 concentration. The combinations of these factors are considered in growing crops. In this study, a system was developed using adaptive neuro-fuzzy inference system for the prediction of the photosynthetic rate of lettuce crop based on the temperature, light intensity and CO2. A fuzzy inference system is designed to generate the rules for the fuzzy logic where inputs of these are from the output of the trained neural network. Based on the result, the system was able to predict the photosynthetic rate of the lettuce crop based on the three input parameters. The RMSE value for the ANFIS model was found to be 2.7843e-05.

[1]  K. Koyama,et al.  Morning reduction of photosynthetic capacity before midday depression , 2014, Scientific reports.

[2]  Mohammad Reza Yousefi,et al.  A hybrid neuro-fuzzy approach for greenhouse climate modeling , 2010, 2010 5th IEEE International Conference Intelligent Systems.

[3]  S. Jayalalitha,et al.  Engineering analogs for conservational decisions in restoring abandoned traditional rice varieties in Tamil Nadu , 2012, 2012 - International Conference on Management Issues in Emerging Economies (ICMIEE).

[4]  B. Bugbee,et al.  Exploring the limits of crop productivity: beyond the limits of tipburn in lettuce. , 2004, Journal of the American Society for Horticultural Science. American Society for Horticultural Science.

[5]  H. A. Sanjay,et al.  A parameter based ANFIS model for crop yield prediction , 2015, 2015 IEEE International Advance Computing Conference (IACC).

[6]  K. J. Mccree.  Maintenance Requirements of White Clover at High and Low Growth Rates1 , 1982 .

[7]  Bipjeet Kaur,et al.  Inverse Problems and Data Fusion for Crop Production Applications Targeting Optimal Growth - Fertilization , 2015, 2015 26th International Workshop on Database and Expert Systems Applications (DEXA).

[8]  C. Clément,et al.  Physiological and molecular changes in plants grown at low temperatures , 2012, Planta.

[9]  Xiaoshu Zhu,et al.  Effects of CO2 enrichment on photosynthesis and growth in Gerbera jamesonii , 2014 .

[10]  Bijay Baran Pal,et al.  A genetic algorithm based hybrid goal programming approach to land allocation problem for optimal cropping plan in agricultural system , 2009, 2009 International Conference on Industrial and Information Systems (ICIIS).

[11]  H. Rogers,et al.  Elevated atmospheric CO2 effects on biomass production and soil carbon in conventional and conservation cropping systems , 2005 .

[12]  Jun Song,et al.  Characterization of the stage dependency of high temperature on green ripening reveals a distinct chlorophyll degradation regulation in banana fruit , 2014 .

[13]  M. Dorais,et al.  Daily Variations of Photosynthetic Efficiency of Greenhouse Tomato Plants during Winter and Spring , 2000 .

[14]  Jie He,et al.  Elevated root-zone CO2 protects lettuce plants from midday depression of photosynthesis , 2007 .

[15]  M. Oh,et al.  Environmental stresses induce health-promoting phytochemicals in lettuce. , 2009, Plant physiology and biochemistry : PPB.

[16]  H. Kläring,et al.  Accumulation and remobilisation of sugar and starch in the leaves of young tomato plants in response to temperature , 2014 .

[17]  Mohd Azlan Abu,et al.  Development and simulation of an agriculture control system using fuzzy logic method and Visual Basic environment , 2013, 2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems.

[18]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[19]  K. Borowiak,et al.  Effect of ozone treatment and light colour on photosynthesis and yield of lettuce , 2017 .

[20]  Rashedur M. Rahman,et al.  Analysis of Optimum Crop Cultivation using Fuzzy System , 2016, 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS).

[21]  R. Matsuda,et al.  Leaf photosynthesis, plant growth, and carbohydrate accumulation of tomato under different photoperiods and diurnal temperature differences , 2014 .

[22]  M. Żupnik,et al.  Effects of LED supplemental lighting on yield and some quality parameters of lamb's lettuce grown in two winter cycles , 2015 .