Скачать или смотреть Dimitra Technical Series: Yield Prediction

Yield prediction isn't just taking a wild guess at how much you'll harvest. It's a game-changer that can make or break a season for farmers, governments, and cooperatives. It's all about making smart decisions that can mean the difference between thriving and struggling in agriculture.

Just like any other business, agriculture requires investments in time, money, and labor for potential returns. Farmers around the world face crucial decisions on which crops to plant, relying on yield predictions to gauge profitability. This involves intricate considerations such as weather, crop history, and rotations. Dimitra's comprehensive model proves invaluable in navigating these complexities for informed choices and financial success.

Dimitra's model is a powerful machine learning tool that leverages Long Short-Term Memory (LSTM) networks and multivariate dependencies to precisely capture yield patterns. LSTMs, a type of advanced recurrent neural network (RNN), excel at processing sequential data, making them the ideal choice for analyzing complex time-series datasets, including historical yield and weather data.

This model ingests a vast amount of historical data spanning a few decades, including weather variables such as precipitation, solar radiation, evaporation, maximum and minimum temperatures for each month, alongside data on the area harvested and yield for the crop and country of interest.

Through careful training and validation processes, Dimitra's model learns the intricate relationships between these variables, discerning patterns and trends that influence the yield of the crop of interest. Once trained, the model can then forecast the crop yield for the next five years based on inputted weather forecasts and other relevant factors with impressive accuracy.

This model offers invaluable insights into future yield trends, helping farmers optimize decisions for productivity and sustainability. Governments, NGOs, farmers cooperatives or other clients also benefit by using its forecasts for policy-making and food security, supporting farmers and stabilizing markets to ensure food availability for communities.

I’m Sherif Badwy, Sales Enablement Director at Dimitra. Visit our site to learn more.

Visit our website to learn more:
https://dimitra.io/