Predictive analysis of soil moisture for agricultural applications using two fish algorithm in IOT comparing with fuzzy algorithm

This study aims to examine and debate a recently proposed approach to smart irrigation’s soil moisture monitoring. The effectiveness of the innovative soil moisture monitoring is evaluated using a combination of a two fish algorithm and a fuzzy algorithm. In all, 14 samples are utilised to generate the sample sizes for two methods. The mean soil moisture value from the two fish algorithm is 0.5443, which is better than the fuzzy algorithm’s 0.5514. Using Novel Two Fish Algorithms, we were able to improve upon the accuracy of fuzzy algorithms for measuring soil moisture by 97.4%. (94.5 percent ). Using a 95% confidence range, a statistical analysis of the soil moisture measurements reveals no statistically significant difference between the two groups (p>0.05). Results show that when comparing the two algorithms, the two fish algorithm is superior for soil moisture monitoring.