1 publication

• Published Subscription Review Article 6 Jan 2026

  A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction

  By Mr. Raghunath Maji, Mr. Swarup Ghosh, Mr. Dipankar Barui, Mr. Sourav Chowdhury, Ms. Shreya Patra, Dr. Biswajit Gayen

  Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …

  Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article →