The Advancement of An Imperishable Method for Agriculture Production Using Seawater Based on Machine Learning Algorithm

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Ramprashath R, Vedhanayagan T, Nesamani S, Mathiyarasan S, Mukesh L

Abstract

In this project,  proposed the majority of shore locales suitable for agriculture using treated ocean water. There is also the option of treating sea water with greenhouse techniques and determining the best location for agriculture. Even though there is a rising need for desalinated water, it takes a lot of energy to desalinate seawater. Desalinating seawater takes a lot of energy despite the rising demand for desalinated water. Due to the high volume of water needed, using desalinated water for agriculture would significantly increase CO2 emissions. Because the desalination process requires a significant amount of energy, we have implemented a solar panel system to address this issue. Gradient Boosting Algorithm and Ada Boosting Algorithm must be used in this case.. Ada and the Gradient Boosting Algorithm When a lot of data needs to be analysed in order to produce precise predictions, boosting techniques are employed. An ensemble learning approach called boosting increases robustness by fusing the predictive potency of various base estimators. After predicting the suitable location for this process we have to give suggesting how implementing the process and what type of materials are used for this process based on the client requirements. Finally, we have predicted what type of plants samplings are suitable for the location because samplings grow under specific conditions such as climatic conditions, water conditions, and soil conditions. For analysing the material, estimate and predict the appropriate plant samples for that location. Another effective algorithm used for this purpose is the Apriori Algorithm. The Apriori algorithm is an unsupervised learning algorithm for solving association problems. It produces association rules for transactional databases using frequently occurring item sets. Using these association rules, it establishes the degree of connection between two things. .To efficiently calculate the item set, this algorithm employs a breadth-first search and a Hash Tree. The algorithm iteratively searches the large dataset for frequent item sets. To provide sustainable local food production, the Seawater Greenhouse combines a growing environment that uses as little water as possible  with a desalination system that is primarily driven by solar energy.

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