An AI Based System Design to Develop and Monitor a Hydroponic Farm

Abstract

Soil Erosion leads to decrease in agricultural production leading to desertification. Also Factors like Overuse of Fertilizer which increases the salinity of the soil; Global warming and natural calamities which is creating an issue on the climate change; and Bio-tech Industries which are creating hybrid seeds with customized fertilizer eliminates the fixation of nitrogen cycle crops which in turn has an adverse effect on the soil and humans consuming it. These entire problems eventually leave a farmer with less fertile land to cultivate the crops. Solution to these problems is to start with a Hydroponic Farming where crops are grown without soil, into a closed or open environment depending on the size and width of the total crop length. Plants grown hydroponically are generally healthier than their soil-grown counter-parts, because they receive an almost perfectly balanced diet and rarely come in contact with soilborne pests and diseases. Since hydroponic systems reduce water and nutrient stress to the plants, they grow faster and can be grown closer together without starving each other. Healthier plants also produce higher harvests. In this paper, we proposed to prepare an Artificial Intelligent system to do hydroponic farming in closed environment which will automatically deliver mix of water and nutrient solution along with light, directly to the roots of plants using sensors. For experiment we are using Tomato F1 Hybrid Suhyana seed. This system will help in calculating the average growth rate ratio for Tomato F1 Hybrid Suhyana seed that are grown hydroponically and would compare it with soil grown plants. This system will not only benefit the local farmers whose land has been degraded but will also conserve water by stopping evaporation and runoff, Losses due to drought and flooding will be significantly reduced