Agriculture Crop Simulation Models Using Computational Intelligence

Kosamkar, Pranali; Kulkarni, Vrushali

doi:10.34218/ijcet.10.3.2019.015

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…CSMs have evolved and advanced over the past three to four decades [182], monitoring the continuous irreversible increase in size and the number of crops as a result of distribution and differentiation that occurs in a plant [183]. CSMs measure the daily development of crops to estimate yields at harvest, identifying the influence of climatic variables on crop growth and development [129,183]. CSMs are easy to come by, cheap and fast for estimating the impacts of climate change on crop growth.…”

Section: Costs and Benefits Of Csmsmentioning

confidence: 99%

“…CSMs are easy to come by, cheap and fast for estimating the impacts of climate change on crop growth. Different regions and countries have used CSMs to simulate the climate change impacts on crops, e.g [77,113,118,119,121,125,128,129,132,134,178,[183][184][185][186]. However, the results are based on experimental soil, plant, weather, and management data and mostly a long-time accumulation of data; hence, collecting and gathering the required data takes a long time.…”

Section: Costs and Benefits Of Csmsmentioning

confidence: 99%

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Climate change impacts on global potato yields: a review

Adekanmbi,

Wang,

Basheer

et al. 2023

Environ. Res.: Climate

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Potatoes as a food crop contribute to zero hunger: Sustainable Development Goal 2. Over the years, the global potato supply has increased by more than double consumption. Changing climatic conditions are a significant determinant of crop growth and development due to the impacts of meteorological conditions, such as temperature, precipitation, and solar radiation, on yields, placing nations under the threat of food insecurity. Potatoes are prone to climatic variables such as heat, precipitation, atmospheric carbon dioxide (CO2), droughts, and unexpected frosts. A crop simulation model (CSM) is useful for assessing the effects of climate and various cultivation environments on potato growth and yields. This article aims to review recent literature on known and potential effects of climate change on global potato yields and further highlights tools and methods for assessing those effects. In particular, this review will explore (1) global potato production, growth and varieties; (2) a review of the mechanisms by which changing climates impact potato yields; (3) a review of CSMs as tools for assessing the impacts of climate change on potato yields, and (4) most importantly, this review identifies critical gaps in data availability, modeling tools, and adaptation measures, that lays a foundation for future research toward sustainable potato production under the changing climate.

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Section: Costs and Benefits Of Csmsmentioning

confidence: 99%

Section: Costs and Benefits Of Csmsmentioning

confidence: 99%

Climate change impacts on global potato yields: a review

Adekanmbi,

Wang,

Basheer

et al. 2023

Environ. Res.: Climate

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Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization

Maraveas,

Konar,

Michopoulos

et al. 2024

Computers and Electronics in Agriculture

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Title: Assessing Impact of Climate Variability and Change on Maize Yield in Gamo Zone, Southern Ethiopia: A Modelling Perspective.

Kassa

Getachew

Bhowmick

2023

Preprint

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Computing seasonal anomalies and Mann-Kendal trend test combined with APSIM maize crop modeling, the impact of climate variation and change on Maize crop production has been assessed; by comparing the simulated result during baseline and 3 CMIP5 climate model projections of 2 Representative Concentration Pathways (RCP 4.5&8.5) climate scenarios in Gamo Zone, Southern Ethiopia, case of 4 Woreda. Based on standardized precipitation index (SPI) analysis, a moderately wet and very wet climate condition will predominate during the 2nd rainy season (Sept - Nov). While the main rainy season (March-May), moderately dry and very dry climate conditions will predominate during the mid and end-term of the 21st century compared to the baseline period. Inconsistent decreasing and increasing temperatures and rainfall trends in response to climate change have been detected. The APSIM7.9 crop model adequately simulates the maize grain yield with a Root Mean Square Error value of (4.5 to 9.13 q/ha) across four selected woreda. The maize yield potential variation of lowest, highest limits and median ranges up to 1.2, 30.5 and 16 q/ha with a coefficient variation of 2.4% on average in future three particular periods. The median yield change showed a reduction up to 36.5% and 18.75% across all woreda during the mid term (2041-2070) and end- term (2071-2100) as compared to the baseline period (1980-2005), due to the reduction of precipitation in the main rainy season and annual total rainfall reduction; while it showed a positive change up to 29.2% during the near-term (2010-2040) period of the 21st century in both RCP scenarios.

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Agriculture Crop Simulation Models Using Computational Intelligence

Cited by 5 publications

References 14 publications

Climate change impacts on global potato yields: a review

Climate change impacts on global potato yields: a review

Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization

Title: Assessing Impact of Climate Variability and Change on Maize Yield in Gamo Zone, Southern Ethiopia: A Modelling Perspective.

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