• Mohammed Arif Khan
• Sunil Kumar Sahu
• Abha Mahalwar
• N. Kumar Swamy

The integration of machine learning (ML) techniques into the field of agriculture has led to significant advancements in predicting various agricultural outcomes. This review aims to provide an overview of recent developments and applications of machine learning for prediction in agriculture. The review begins by highlighting the importance of accurate predictions in agriculture, emphasizing how traditional methods often fall short due to the complexities of biological, environmental, and climatic factors. Machine learning offers a data-driven approach that can capture intricate relationships within these multifaceted systems, thus enabling more precise predictions. Various machine learning techniques employed in agriculture are explored, ranging from classical algorithms such as decision trees and support vector machines to more advanced approaches like random forests, gradient boosting, neural networks, and deep learning. The strengths and weaknesses of each technique in the context of agricultural prediction are discussed. The application areas covered in this review include crop yield prediction, disease and pest outbreak forecasting, soil health assessment, weather and climate impact analysis, and precision agriculture. For each application, representative studies are presented to illustrate the efficacy of machine learning in improving prediction accuracy and informing decision-making processes for farmers and stakeholders. Challenges associated with implementing machine learning in agriculture are also addressed. These challenges encompass data quality and availability, model interpretability, scalability, and the need for domain expertise. Potential solutions and ongoing research directions are discussed to mitigate these challenges and promote the widespread adoption of machine learning technologies in agriculture.

Crop yield prediction, Machine learning algorithms, agriculture and Classification techniques.

"A Review on Machine Learning Algorithm in the Field of Agriculture for Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.c756-c761, August-2023, Available :http://www.jetir.org/papers/JETIR2308289.pdf

"A Review on Machine Learning Algorithm in the Field of Agriculture for Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppc756-c761, August-2023, Available at : http://www.jetir.org/papers/JETIR2308289.pdf