DESIGN AND DEVELOPMENT OF SOIL NUTRIENTS BASED PREDICTION SYSTEM FOR RICE CROP YIELD USING PREDICTIVE ANALYTICS

Abstract

Due to escalation of worldwide populace and changing dietetic needs have scaled up the requirement for food and raw materials supplied to the industry. Due to a number of risks that could affect crop yields, the agriculture sector is attempting to maintain the level of necessary crop yields. The threat posed by climate change has increased the number of agricultural production risks over the previous two decades. There is a climacteric requirement to address this issue with proper insights into the data attributes impacting the crop yield. There are two important factors that are necessary to be considered while cultivating the crops. First factor is soil quality, and the second factor is climatic conditions. Nowadays, climatic conditions are adversely affected by global warming, and this leads to failure in traditional prediction approaches. The other one is the soil that hold a prominent role at the time of cultivation. Soil should have good water holding capacity, a sufficient amount of Micronutrients, Macronutrients and pH value of the soil. Due to the more usage of chemical fertilizers, nutrients present in the soil are affected drastically. This is another reason for the failure of traditional prediction approaches that cause huge loss of money and sometimes farmers and their family members are ending their lives very badly.