FORECASTING A PLANTATION USING MACHINE LEARNING AND INTERNET OF THINGS

Abstract

Farming has been crucial to the human race's survival for quite some time. Because of the
ever-increasing demand from consumers, the steadily decreasing number of producers, and the
widespread absence of adequate agricultural expertise, a substantial amount of food has been wasted
throughout the years. Predicting the optimal crop for a given area and plot of land employing IoT plus
computational methods might help enhance productivity. In the proposed technique, a sensor-equipped
agricultural stick is put on the ground to continuously gather data. This unprocessed information will be
sent to the cloud for analysis.By conserving water and reducing effort, the framework outperforms
inefficient conventional agricultural practises. The improved framework was contrasted with the presentday
one. The health of the population and the integrity of the building have been placed in jeopardy by the
recent recurrence of food security and quality concerns. There is a growing trend towards using data
innovation to propel the development of modern agriculture and gardening. For a very long time, weather
and climate have been completely ludicrous. This motivates many Indian ranchers to learn eco-friendly
gardening techniques