CropCast: Harvesting the future with interfused machine learning and advanced stacking ensemble for precise crop prediction

• Published in: Kuwait journal of science Vol. 51; no. 1; p. 100160
• Main Authors: Raju, Chetan, D.V., Ashoka, B.V., Ajay Prakash
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2024
• Subjects: Agriculture; Base learners; Ensemble; Environment; Metamodel; Prediction; Soil; Prediction; Ensemble; Soil; Environment; Agriculture; Metamodel; Base learners

The Agro-Ecological (AE) zone plays a vital role in determining which crops are suitable for cultivation in specific areas of land. However, changing environmental and climate conditions have made it increasingly difficult for farmers to choose the right crops, resulting in both time and financial l...