Optimizing Crop Production With Plant Phenomics Through High‐Throughput Phenotyping and AI in Controlled Environments

Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(1)

Published: Jan. 1, 2025

ABSTRACT Plant phenomics deals with the measurement of plant phenotypes associated genetic and environmental variation in controlled environment agriculture (CEA). Encompassing a spectrum from molecular biology to ecosystem‐level studies, it employs high‐throughput phenotyping (HTP) approaches quickly evaluate characteristics enhance yields crops smart facilities. HTP uses parameters for accuracy, such as software sensors, well hyperspectral imaging pigment data, thermal water content, fluorescence photosynthesis rates. They provide information on growth kinetics, physiological biochemical characteristics, genotype–environment interaction. Artificial intelligence (AI) machine learning (ML) are used large volume phenotypic data predict rates, determine optimal time plants, or detect diseases, nutrient deficiencies, pests at an early stage. The lighting factories is adjusted based specific phase using different light intensities, spectrums, durations germination, vegetative growth, flowering stages, hydroponics method providing nutrients, CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) improving certain resistance drought. These systems crop production, yields, adaptability, input use by optimizing utilizing precision breeding techniques. AI combination several disciplines, promoting understanding plant–environment interactions relation problems resource use, climate change. It affects their capacity develop that capture inputs, minimize chemical application, resilient Phenomics cost‐effective, reduces contributes more sustainable agricultural practices, being economically environmentally sound. Altogether, central CEA due its capitalize potential within advance sustainability food security. Through phenomic research, next advancements likely be even revolutionary terms practices worldwide.

Language: Английский

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High-temperature stress in wheat (Triticum aestivum L.): unfolding the impacts, tolerance and methods to mitigate the detrimental effects

Cereal Research Communications, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 16, 2025

Language: Английский

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Mitigating Heavy Metal Pollution in Agriculture: A Multi-Omics and Nanotechnology Approach to Safeguard Global Wheat Production

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100584 - 100584

Published: Dec. 1, 2024

Language: Английский

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Green synthesized iron oxide nanoparticles as a potential regulator of callus growth, plant physiology, antioxidative and microbial contamination in Oryza sativa L.

BMC Plant Biology, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 9, 2024

In tissue culture, efficient nutrient availability and effective control of callus contamination are crucial for successful plantlet regeneration. This study was aimed to enhance callogenesis, regeneration, contamination, substitute iron (Fe) source with FeO-NPs in Murashige Skoog (MS) media. Nanogreen oxide (FeO-NPs) were synthesized well characterized sizes ranging from 2 7.5 nm. as a supplement MS media at 15 ppm, significantly controlled by (80%). Results indicated that FeCl

Language: Английский

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An insight into heat stress response and adaptive mechanism in cotton

Journal of Plant Physiology, Journal Year: 2024, Volume and Issue: 302, P. 154324 - 154324

Published: Aug. 6, 2024

Language: Английский

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Transcriptome profiling reveals the impact of various levels of biochar application on the growth of flue-cured tobacco plants

BMC Plant Biology, Journal Year: 2024, Volume and Issue: 24(1)

Published: July 10, 2024

Abstract Background Biochar, a carbon-rich source and natural growth stimulant, is usually produced by the pyrolysis of agricultural biomass. It widely used to enhance plant growth, enzyme activity, crop productivity. However, there are no conclusive studies on how different levels biochar application influence these systems. Methods results The present study elucidated dose-dependent effects physiological performance, dry matter accumulation tobacco plants via field experiments. In addition, transcriptome analysis was performed 60-day-old (early stage) 100-day-old (late leaves determine changes in transcript at molecular level under various (0, 600, 1800 kg/ha). demonstrated that optimum enhances regulates enzymatic promotes biomass plants, while higher doses had adverse effects. Furthermore, revealed total 6561 differentially expressed genes (DEGs) were up- or down-regulated groupwise comparison treatments. KEGG pathways carbon fixation photosynthetic organisms (ko00710), photosynthesis (ko00195), starch sucrose metabolism (ko00500) significantly up-regulated optimal dosage (600 kg/ha) (1800 Conclusion Collectively, indicate an rate could positively affect fixation, which turn increased synthesis starch, thus promoting plants. disturbs crucial source-sink balance organic compounds inhibits

Language: Английский

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Current Challenges and Recent Advancements in the Adoption of Omics to Enhance Biofortification

Published: Feb. 27, 2025

Language: Английский

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The potential of advanced crop breeding technologies for sustainable food security

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 143025 - 143025

Published: April 1, 2025

Language: Английский

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Analysing rice (Oryza sativa L.) production trends—area harvested, quantity and yield stability in Tanzania

Discover Agriculture, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 10, 2025

Language: Английский

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Exploring Bidens Genomics: Evolutionary Insights and Applications

Published: Jan. 1, 2025

Language: Английский

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