FORECAST PLANT DEVELOPMENT AND YIELD

FORECAST PLANT DEVELOPMENT AND YIELD

1Dr. Shankaragowda BB, 2Megha S Holur

1HOD, Associate Professor, Department of Master of Computer Application, BIET, Davanagere

 2Student, BIET, Davanagere

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

Keywords: Plant Development and yield, machine learning, Prediction, Environmental elements.