Crop Simulation Modeling: A Strategic Tool in Crop Management

Chijina Kundathil, Harithalekshmi Viswan and Prasann Kumar

Abstract

Recent advancements in agricultural technology and the increasing challenges posed by food scarcity have prompted growers to seek enhanced control over environmental conditions to optimize plant growth. In this context, crop simulation models have emerged as a valuable tool for developing innovative crop management systems, garnering significant interest from researchers over the years. This article explores the opportunities and applications of various crop models in addressing critical agricultural and environmental concerns. The key highlights include Climate Change Impact Assessment: Crop models play a pivotal role in assessing the potential impacts of climate change on agricultural systems, allowing for proactive adaptation and mitigation strategies. Fertilizer Management: Crop models enable precise fertilizer management, ensuring optimal nutrient application and minimizing environmental impacts, such as nutrient runoff. Yield Prediction: Accurate yield predictions facilitated by crop models empower farmers to make informed decisions regarding planting, harvesting, and marketing their crops. Irrigation and Phenological Studies: Crop models aid in the efficient management of irrigation resources, contribute to water conservation, and offer insights into plant phenology, enabling better timing for various agricultural practices. Disease and Pest Forecasting: Crop models are instrumental in predicting disease and pest outbreaks, allowing timely intervention strategies and reducing crop losses. The upsurge in technological advancements in agriculture and growing concerns related to food scarcity have elevated the need for advanced environmental control for optimal crop growth. Crop simulation models have emerged as a powerful tool, with applications spanning climate change impact assessment, fertilizer management, yield prediction, irrigation and phenological studies, as well as disease and pest forecasting. The research outlined in this article underscores the multifaceted opportunities and applications of crop models in addressing critical agricultural and environmental challenges, emphasizing their significance in fostering sustainable and resilient farming practices.

Published on: November 06, 2023
doi: 10.17756/jfcn.2023-s1-044
Citation: Kundathil C, Viswan H, Kumar P. 2023. Crop Simulation Modeling: A Strategic Tool in Crop Management. J Food Chem Nanotechnol 9(S1): S342-S358.

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