Sugar Tech最新文献

{"title":"Sugar Beet Seed Classification for Production Quality Improvement by Using YOLO and NVIDIA Artificial Intelligence Boards","authors":"Abdullah Beyaz,&nbsp;Zülfi Saripinar","doi":"10.1007/s12355-024-01402-3","DOIUrl":"10.1007/s12355-024-01402-3","url":null,"abstract":"<div><p>All inputs are required for excellent and proper crop production, especially seed quality. In this way fewer disease and insect issues, increased seedling germination, uniform plant population and maturity, and better responsiveness to fertilizers and nutrients, leading to higher returns per unit area and profitability, and low labor costs could be possible. Because of this reason, NVIDIA Jetson Nano and TX2 artificial intelligence boards were used to test the efficiency of the YOLOv4 and YOLOv4-tiny models for sugar beet monogerm and multigerm seed classification for better production. YOLOv4-tiny outscored the other model based on FPS with 8.25–8.37 at NVIDIA Jetson Nano, 12.11–12.36 at NVIDIA TX2 artificial intelligence boards with accuracy 81–99% for monogerm seeds, and 89–99% for multigerm seeds at NVIDIA Jetson Nano, 88–99% for monogerm seeds, and 90–99% for multigerm at NVIDIA TX2 accuracy, respectively, implying that the YOLOv4 is more accurate but slow with based on FPS with 1.10–1.21 at NVIDIA Jetson Nano, 2.41–2.43 at NVIDIA TX2 artificial intelligence boards with 95–99% for monogerm seeds and 95–100% for multigerm seeds at NVIDIA Jetson Nano, 92–99% for monogerm seeds and 98–100% for multigerm seeds at NVIDIA TX2, respectively. As a result of the evaluations, NVIDIA Artificial Intelligence cards and YOLO deep learning model will be used effectively in classifying monogerm and multigerm sugar beet seeds, thus reducing seed loss with the help of NVIDIA Artificial Intelligence cards classification.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 6","pages":"1751 - 1759"},"PeriodicalIF":1.8,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12355-024-01402-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Isolation, Characterization and Genome-Wide Identification of Cys-2/His-2 Type Zinc Finger Nuclease, a Transcription Activator in Saccharum Complex Under Abiotic Stress Conditions","authors":"S. R. Harish Chandar, Mahalakshmi Subramanian, Sakthivel Surya Krishna, Thangavel Swathi, Murugavelu Girija Sangari, Chinnusamy Viswanathan, Nallusamy Saranya, V.P. Sobhakumari, Raju Gomathi, Chinnaswamy Appunu","doi":"10.1007/s12355-024-01397-x","DOIUrl":"https://doi.org/10.1007/s12355-024-01397-x","url":null,"abstract":"<p>Abiotic stress plays a substantial role in morphological and physiological changes of plants leading to yield loss. Drought and salinity tolerance (<i>DST</i>) is a zinc finger protein serving an indispensable function in stress resilience through modulation of stomatal closure. Yet, no known report of their roles in sugarcane exists. This research presents a comprehensive study on isolation, characterization and identification of <i>ShDST</i> genes by employing a combination of in silico and experimental methods. The isolated full-length coding region of the <i>ShDST</i> gene transcribed a single open reading frame of 810 base pairs encoding 269 amino acids possessing a molecular weight of 27.7 kilo Daltons and an isoelectric point (Pi) of 7.70. Subcellular localization studies highlighted the presence of <i>ShDST</i> within the nucleus. A molecular docking study revealed a significant affinity between <i>ShDST</i> and Hydrogen peroxide suggesting a potential interaction and implication for oxidative stress response. In the course of this investigation, a total of 21 genes were identified utilizing Hidden Markov Models, for comprehensive genome-wide identification, contributing to a deeper understanding of genetic diversity and variation within the <i>Saccharum</i> species. Comparative evolutionary analysis, including phylogeny, collinearity, and synteny analysis was employed to compare the <i>Saccharum DST</i> gene families with various crops under Poaceae family. A heat map representation of Cis-element occurrence further elucidated the distribution and abundance of the regulatory elements, providing a valuable tool for assessing potential transcriptional activity and regulatory significance. This first systematic analysis of <i>DST</i> families in sugarcane provides a basis for further functional study and provides valuable insights into the potential to enhance crop breeding practices for improved sustainability and adaptability to challenging environmental conditions in sugarcane.</p>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"51 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Frost Tolerance in Sugar Beet Cultivars During Early Growth Stages","authors":"Engin Gökhan Kulan,&nbsp;Mehmet Demir Kaya","doi":"10.1007/s12355-024-01398-w","DOIUrl":"10.1007/s12355-024-01398-w","url":null,"abstract":"<div><p>Late spring frost is the most hazardous abiotic stress affecting the survival of sugar beet seedlings. Therefore, it is very important to identify frost-tolerant cultivars during the early seedling development stage. In the study, the physiological and morphological responses of ten sugar beet cultivars (Ernestina, Isabella, Orthega, Serenada, Kuno, Taurus, Tuna, Mohican, Rodeo, and Smılodon) to frost stress at different growth stages (V1.1, V2.1, and V3.1) were evaluated. Seedlings were exposed to − 3 °C for 2 h at all stages. Percent damage (%), leaf chlorophyll content (SPAD), leaf surface temperature (°C), electrolyte leakage (%), leaf relative water content (%), and turgidity loss (%) were examined. The results showed that higher damage percentages were observed in earlier growth stages of sugar beet, with recorded values of 29.7% in V1.1, 15.4% in V2.1, and 3.6% in V3.1. A great genotypic variation was observed among the cultivars; electrolyte leakage increased from 15.6% in control to 52.6% in frost stress, and higher electrolyte leakage was obtained from frost-stressed plants. The relative water content of leaves increased only at stage V2.1, although frost decreased turgor loss. Sugar beet showed sensitivity to frost in earlier seedling growth stages, but their tolerance levels increased in later growth stages. The study revealed that electrolyte leakage is a reliable indicator for identifying sugar beet cultivars that exhibit tolerance to frost stress during early development.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 5","pages":"1274 - 1282"},"PeriodicalIF":1.8,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12355-024-01398-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140594176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Wonder Cane Varieties on Sugar Production, Consumption and Prices in India","authors":"S. Niranjan,&nbsp;P. Murali,&nbsp;D. Puthira prathap,&nbsp;S. Kumaravel,&nbsp;G. Hemaprabha","doi":"10.1007/s12355-024-01394-0","DOIUrl":"10.1007/s12355-024-01394-0","url":null,"abstract":"<div><p>Being the largest consumer of sugar, India had relied on sugar imports during the first decade of twenty-first century. However, advent of wonder varieties developed by Sugarcane Breeding Institute of the Indian Council of Agricultural Research (ICAR-SBI) has revolutionized sugar production since 2010, and the country has turned into a sugar exporter since 2016. The objective of the study is to analyse the impact of such wonder varieties on sugar production, consumption and prices. Here, sugar prices were compared with the WPI of primary articles and analysed for a possible difference in the prices with and without adjusting for inflation. It was found that, sugar prices were lesser than the inflation adjusted sugar price during the study period (2010–2022), depicting the impact of production surplus in meeting the rise in consumption demand. Although domestic sugar prices were over and above the global sugar prices, the prices remained stable with no short-term spike in the sugar prices. It is therefore evident that the wonder varieties have not only created production surplus but also stabilized sugar prices during the study period. Using the historic time series data, ARIMA results revealed that the demand for sugar would be around 341.64 lakh tonnes by 2032–33, which is expected to grow at an annual average rate of 1.55 per cent per annum. The study suggests a sustained sugarcane and sugar production in the country to protect the domestic market from global price shocks taking into account the fuel ethanol production for EBP (ethanol blended petroleum) programme.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 3","pages":"809 - 819"},"PeriodicalIF":1.8,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioethanol Production Using Mixtures of Sorghum Juice and Sugarcane Molasses: Experimental Data and Kinetic Modeling","authors":"E. H. Silva,&nbsp;D. A. Lemos,&nbsp;A. J. G. Cruz,&nbsp;A. C. Badino,&nbsp;R. G. Silva,&nbsp;J. L. S. Sonego","doi":"10.1007/s12355-024-01393-1","DOIUrl":"10.1007/s12355-024-01393-1","url":null,"abstract":"<div><p>In Brazilian distilleries, bioethanol is mainly produced using musts obtained from sugarcane, with production restricted to the sugarcane harvest period. The present work evaluated ethanol production using fermentation musts prepared from a mixture of sorghum juice and diluted sugarcane molasses, with the aim of shortening the off-season of ethanol production. Firstly, kinetic modeling of ethanol fermentation was performed employing musts prepared solely with diluted sugarcane molasses and sweet sorghum juice. Subsequently, ethanol fermentations were carried out with musts prepared by mixing diluted sugarcane molasses and sweet sorghum juice in different proportions. The hybrid Andrews–Levenspiel model provided excellent fits to the experimental data for the fermentations performed with the individual musts. In all the fermentations with mixed musts, there was faster substrate uptake and earlier substrate exhaustion, compared to the fermentation using only diluted sugarcane molasses. The fermentation initiated with a mixture of 25% diluted molasses and 75% sweet sorghum juice resulted in around 17% higher ethanol productivity (in units of g L⁻¹ h⁻¹), compared to the fermentation with sugarcane molasses alone.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 3","pages":"799 - 808"},"PeriodicalIF":1.8,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Continuous Cropping and Application of Bio-organic Fertilizers on Growth, Yield and Quality of Sugar Beet under Reduced Chemical Fertilizer Application","authors":"Xiaoxia Guo,&nbsp;Lu Tian,&nbsp;Yinghao Li,&nbsp;Baiquan Song,&nbsp;Chunyan Huang,&nbsp;Zhi Li,&nbsp;Peng Zhang,&nbsp;Caiyuan Jian,&nbsp;Kang Han,&nbsp;Dejuan Kong,&nbsp;Zhenzhen Wang,&nbsp;Jia Liu,&nbsp;Jianchao Zhou,&nbsp;Wenbin Su","doi":"10.1007/s12355-024-01386-0","DOIUrl":"10.1007/s12355-024-01386-0","url":null,"abstract":"<div><p>A major problem in the cultivation of sugar beet is continuous cropping cycle. A study was carried out in the 2019–2021 season at the Agriculture and Forestry Sciences of Ulanqab, Inner Mongolia, to assess the impacts on the growth, root yield, and sugar content of sugar beet of various continuous cropping years with bio–organic fertilizers. A split plot system with three replications was set up to carry out the field testing. The main plots had five planting years, with the non-continuous of each growing season serving as the control (CK) and continuous cropping for one, two, three, and four years (designated as C1, C2, C3, and C4, respectively). The subplots had two bio-organic fertilizer levels: 6000 kg ha⁻² (Y) and 0 (N). The results demonstrated that continuous cropping stunted sugar beet growth and lowered yield and quality. The plant height, leaf area index, root volume, root yield, and sugar yield of sugar beet significantly decreased with the extension of continuous cropping years. Compared with CKN (CKY), plant height, leaf area index, root volume, and fresh weight of C1N (C1Y), C2N (C2Y), C3N (C3Y), and C4N (C4Y) all showed a significantly decreased trend. Furthermore, the plant height, leaf area index, root volume, and fresh weight reductions had amplitudes of 5.60–27.36%, 9.53–67.86%, 17.71–57.35%, and 17.54–45.03%, respectively. The distinctions between C1 and C2 were essentially not statistically significant, and the same was evident for C3 and C4. The root yield and sugar yield exhibit noteworthy relationships with each growth indices. Compared with CKN (CKY), C1N, C2N, C3N, and C4N significantly reduced their root yield and sugar yield by 19.20% and 25.08% (19.63% and 25.67%), 24.13% and 31.02% (24.74% and 32.32%), 44.03% and 55.15% (48.47% and 58.09%), and 47.89% and 61.85% (52.35% and 64.43%). Bio-organic fertilizers applied during the same planting year all had effects on the growth and yield of sugar beet; however, these effects were only significant under the planting year treatments of CK, C1, and C2. The amplitude of the increase in plant height, leaf area index, root volume, fresh weight, and root yield reached 2.76–7.95%, 10.21–24.67%, 10.66–14.88%, 7.03–14.83%, and 18.74–19.69%, respectively. Above all, sugar beet were hindered by continuous cropping, and bio-organic fertilizer can greatly increase sugar beet yield and growth for continuous cropping lasting one or two years; for continuous cropping lasting three or more years, additional measures should be considered.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 3","pages":"786 - 798"},"PeriodicalIF":1.8,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Susceptibility of Diatraea saccharalis Populations (Lepidoptera: Crambidae) to Bt Toxins Expressed in Genetically Modified Corns for Development of Transgenic Sugarcane in Argentina","authors":"Florencia García Degano,&nbsp;María L. del P. Pérez,&nbsp;Luciana Dami,&nbsp;Analía Salvatore,&nbsp;M. Inés Herrero,&nbsp;Amin Nikpay,&nbsp;Santiago Ostengo,&nbsp;Gerardo Gastaminza","doi":"10.1007/s12355-024-01392-2","DOIUrl":"10.1007/s12355-024-01392-2","url":null,"abstract":"<div><p>The sugarcane borer, <i>Diatraea saccharalis</i>, is one of the most important pests of sugarcane and corn crops in Argentina. In general, there are no control methods to manage this insect in the cane fields in the country. So, the development of borer resistance in sugarcane through transgenic technology could be the best approach, as in the case of Bt corn derived of the <i>Bacillus thuringensis</i> bacterium that has been the primary tool for managing this borer in the field. However, sugarcane borer control has been threatened by observations of resistance to certain varieties of Bt corn and the protein used in many new varieties. The susceptibility of two populations of sugarcane borer to different Bt toxins expressed in five genetically modified corns (two single and three pyramided genes) was determined for the development of a transgenic sugarcane. In laboratory bioassays, larval mortality of both populations on Bt corn leaf tissue containing Cry1F toxin was lower than other Bt technologies at 3 days of exposure. However, there were no significant differences between larval mortality of the five Bt corns at 7 days after infestation. In a greenhouse trial, larval survival and plant injury were not significant in Bt corns. The results suggest that any Bt protein could be incorporated into sugarcane crops for managing <i>D. saccharalis</i>.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 3","pages":"776 - 785"},"PeriodicalIF":1.8,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140370014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing PtSn Composition in Direct Sugarcane Extract Fuel Cells: A Sustainable Bioenergy Solution","authors":"Bruno D. Q. Villardi,&nbsp;Victoria A. Maia,&nbsp;Julio Nandenha,&nbsp;Priscilla J. Zambiazi,&nbsp;Rodrigo F. B. de Souza,&nbsp;Almir O. Neto","doi":"10.1007/s12355-024-01391-3","DOIUrl":"10.1007/s12355-024-01391-3","url":null,"abstract":"<div><p>Pt₉₀Sn₁₀/C composition exhibited a strong maximum power density value and a good sugar oxidation response in sugar extract solution in comparison with others electrocatalysts prepared. Pt₉₀Sn₁₀/C demonstrated a maximum power density approximately 93% higher than that of Pt₈₀Sn₂₀/C, which is the second most active material and more than 8 times bigger than Pt/C. The primary difference between the two lies in glucose consumption, which is approximately 90% higher in Pt₉₀Sn₁₀/C. It is important to highlight that in the more active materials; fructose consumption remains relatively constant, ranging between 7 and 8%. The enhanced performance could be attributed to both the altered electronic properties resulting from tin integration into the platinum crystal lattice and the activation of water at less positive potentials by a bifunctional mechanism. XRD results showed that the lattice parameters were expanded indicating the insertion of Sn to Pt, while that cyclic voltammetry showed that all materials present the hydrogen adsorption–desorption region over Pt (− 0.2 to 0.15 V); however, when increasing the tin content in the catalyst, the region decreases the definition and is associated with the presence of transition metals such as Sn. TEM images and histograms for PtSn showed the increase in the average particle size accompanying the tin enrichment in the composition; this effect could be tin oxide in material surface and is in agreement with other works.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 3","pages":"767 - 775"},"PeriodicalIF":1.8,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140313416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fermentation Optimization and In-Vitro Antioxidant Activity of Exopolysaccharides Produced by Leuconostoc suionicum LSBM1 Using Sugar Beet Molasses","authors":"Xiaoyu Long,&nbsp;Xiaoyan Hou,&nbsp;Shanshan Li,&nbsp;Anjun Chen,&nbsp;Zhiqing Zhang,&nbsp;Guanghui Shen","doi":"10.1007/s12355-024-01396-y","DOIUrl":"10.1007/s12355-024-01396-y","url":null,"abstract":"<div><p>The purpose of this study was to screen for high-yield exopolysaccharide (EPS) producing lactic acid bacteria (LAB) from sugar beet molasses and to evaluate the production capacity of EPS using sugar beet molasses. A highly EPS-producing LAB strain LSBM1 isolated from sugar beet molasses was identified, and the fermentation conditions for EPS using sugar beet molasses as the substrate were optimized by the single-factor experiment and response surface methodology. Strain LSBM1 was identified as <i>Leuconostoc suionicum</i> based on morphological characteristics, and 16S rRNA gene sequence analysis. The optimal culture medium for EPS production was composed of 300 g/L beet molasses, 20.0 g/L yeast extract, 20.0 g/L K₂HPO₄·3H₂O, 0.01 g/L MgSO₄·7H₂O, 0.01 g/L NaCl, 0.01 g/L CaCl₂, 0.01 g/L MnSO₄·H₂O, 0.01 g/L FeSO₄·7H₂O, 0.01 g/L. The maximum EPS yield (31.78 g/L) was achieved under the optimized conditions of loading volume 200 mL/250 mL, inoculum size 2%, initial pH value 8.1, culture temperature of 37.59 °C, and culturing period 38.5 h. The in-vitro antioxidant activity showed that LSBM1 EPS had good scavenging activity against DPPH and ABTS radicals. Together, these results provide a LAB strain and the production conditions for obtaining high EPS yields using sugar beet molasses as substrate, and suggest that the harvested LAB-EPS might have potential applications as functional ingredients in the food industry.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 5","pages":"1405 - 1414"},"PeriodicalIF":1.8,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140313414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-Driven Prediction of Sugarcane Quality Attributes Using Satellite Imagery","authors":"Tatiana Fernanda Canata,&nbsp;Marcelo Rodrigues Barbosa Júnior,&nbsp;Romário Porto de Oliveira,&nbsp;Carlos Eduardo Angeli Furlani,&nbsp;Rouverson Pereira da Silva","doi":"10.1007/s12355-024-01399-9","DOIUrl":"10.1007/s12355-024-01399-9","url":null,"abstract":"<div><p>Anticipating the sugar content of sugarcane crop is a crucial aspect that holds the key to develop innovative data-driven solutions for determining the ideal time of mechanized harvest. However, traditional laboratory-based approaches are laborious, time-consuming, and limited in their scalability. Thus, we explored the potential of integrating multispectral data and cutting-edge artificial intelligence algorithms to predict the sugar content attributes of sugarcane, namely Brix and Purity. The sugarcane quality attributes were measured in a routine laboratory using 510 georeferenced samples from two commercial areas. Crop canopy reflectance values and growing degree days (GDD) were used as inputs on developing predictive models. Two artificial intelligence (AI) algorithms, artificial neural network (ANN) and random forest (RF), and multiple linear regression (MLR) were performed to create the predictive models for mapping the sugarcane quality. The models’ performance proved that RF regression was better for °Brix prediction. In contrast, Purity values were better predicted by ANN algorithm. GDD was the most important variable on performance of RF modeling for both outputs, followed by Green spectral band from satellite imagery. Timely results were achieved integrating satellite imagery and AI-based model on prediction of qualitative attributes for sugarcane. It can provide useful data layers to support site-specific management strategies within season by agroindustry and supporting the decision-making of harvesting in large scale.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 3","pages":"741 - 751"},"PeriodicalIF":1.8,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140299563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}