Crop Model

Overview

ing Crop modeling is an important tool for estimating the yield of a given crop for a particular location and season. It uses various data sources—such as soil conditions, climate, and crop genetics—to simulate the growth, development, and yield of a crop. Crop modeling is useful for improving crop management practices, forecasting crop yields, and predicting changes in crop production due to climate change. Knowing expected crop yields can help farmers plan production and determine what crops to grow and when to plant. It can also help determine the best strategies for crop rotation, irrigation, and pest control. Furthermore, crop modeling can help promote sustainable and efficient agricultural production, which is essential for food security.

Research published in this journal

3 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 3 articles above have been cited 38 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Support Vector Classification Applied to Wheat and Ryegrass Spectral Signatures Discrimination: Dimensionality Reduction Analysis
  2026 · Journal of the Indian Society of Remote Sensing
• A data-driven approach for devising and assessing precision nitrogen management strategies applied to wheat systems in India
  2025 · Environmental Research: Food Systems
• Comparing indigenous and scientific (Palin test) soil fertility assessment approaches for better soil health monitoring, management, and farm decision-making in Uganda
  2025 · Discover Soil.
• Genetic Engineering for Crop Biofortification
  2025 ·
• Transformer vs CNN: A Comparative Study of Wheat Spike Detection Under Field Conditions
  2025 · European Journal of Applied Science, Engineering and Technology
• Comparing indigenous and scientific (Palin test) soil fertility assessment approaches for better soil health monitoring, management, and farm decision-making in Uganda
  2025 · Discover Soil
• Generative Artificial Intelligence in Healthcare: A Systematic Review of GANs, Diffusion Models, Large Language Models, and Variational Autoencoders for Medical Applications
  2025 · European Journal of Applied Science, Engineering and Technology
• Transformer vs CNN: A Comparative Study of Wheat Spike Detection Under Field Conditions
  2025 · Deleted Journal

A sample of recent works citing this journal's research on Crop Model, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

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