FORECAST PLANT DEVELOPMENT AND YIELD

Since it may help growers and farmers maximize crop yields preserve resources, predicting plant development is a significant topic in agriculture forestry. Machine learning offers potential tool for forecasting based on data, unlike older approaches that rely the shape of plant, we collect data growth utilize variety machine techniques, including linear regression, decision trees, neural networks. From geometry extract number geometric properties, curvature, length, breadth, feed these into algorithms. Our tests demonstrate great accuracy suggested method form. Keywords: Plant Development yield, learning, Prediction, Environmental elements.