ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	Integrated Nutrient Management for Tomato Crop Based on Soil Analysis for Sustaining Soil Fertility and Reducing Environmental Impact
Authors	:	Balakrishna K, Dr. Mahesh Rao, Dr. Sharath Kumar Y H
Keywords	:	Integrated Nutrient Management (INM); NPK Nutrients; Back Propagation Neural Network (BPN); Saturation time and Release time:
Issue Date	:	Jul-Aug 2018
Abstract	:	Plant growth requires along with water, good amount of nutrients, either already present in the soil or externally added like through the fertilization process. Improper use of fertilizers without having proper knowledge about the release of nutrient from the coated granule leads to loss of the fertility of the soil while increasing the input cost for the farmers. So the concept of integrated nutrient management plays a vital role in deciding optimal uptake of nutrients by the plants. In this paper, by taking the tomato plant as an example, authors discuss the back propagation neural network (BPN) model for nutrient management along with evaluating the performance criteria by Root mean Square Error (RMSE) and Correlation Coefficient (CC) in the first stage. In the second stage, control-release of nutrients from coated fertilizer granules for optimal uptake by plants is mathematically modeled and is used for simulation. The simulated result for saturation and release time from the spherical granule with varying values of radius, point of contact to the ground surface, release rate, evaporation factor, nutrient and water diffusion coefficient, etc are presented. From the computer simulation, results show that in the first stage using BPN model for optimizing the nutrients to be fed for tomato plant on weekly basis performance lies between 82.846-83.545% for selected 72 out of 100 plots dataset. In the second stage, the saturation and nutrient release time of the granule studied by varying the radius, point of contact with a ground surface, evaporation loss, diffusion coefficient, nutrient release time and nutrient diffusion time.
Page(s)	:	154-162
ISSN	:	2319-7323
Source	:	Vol. 7, No. 4