Agro Gen-Next

The growing demand to improve profitability of the cultivators necessitates the use of new advanced cultivation and management techniques. Farmers' profits are highly dependent on market conditions such as supply and demand for agricultural products. An oversupply of certain crops or a fall in demand can lead to lower prices and less profitability for farmers. Due to fluctuating demand for agricultural products, farmers are not profitable and sometimes suffer losses. This can be addressed by growing crops that are in demand during harvest time. The project's purpose is to create a line of action that allows farmers to select the best crop in view of the soil conditions and meteorological variables such as temperature, soil and air humidity, and consumer demand. Because LSTM models are more accurate than previous regression techniques, we use them to forecast future demand. Soil moisture, light, and humidity are measured using field sensors. Field sensors are used to measure soil moisture, temperature, and humidity. Web scraping is used to find the climate at the desired location. There is a forum in the portal which enables the users to communicate with other. This connects the cultivators across places. It supports multiple language translation so that there is no language barrier. Cloud based API is used for the development of communication forum.

I. Introduction

Meeting the food and resource needs of an expanding global population depends heavily on the agriculture industry. However, as resources become scarcer and population pressures increase, it becomes crucial to optimize agricultural practices for sustainable and efficient food production.