Tons Of Sugar Research Articles

An Analysis of Indian Sugar Exports: Markov Chain Approach

India, the world's leading producer and exporter of sugar, plays a crucial role in the food industry due to sugar's sweet flavour and its multifaceted applications as a sweetener, preservative, texture enhancer, colouring agent, flavouring agent, and bulking agent. In the year 2020- 21 India exported an impressive 70 lakh tonnes of sugar, following 59 lakh tonnes in 2019- 20. India's sugar exports reach as many as 121 countries, with Sudan, Myanmar, Sri Lanka, Somalia, the United Arab Emirates, Pakistan, and Iran being some of the most consistent importers. The present study discusses the above approach envisaging the above analysis of Indian sugar exports to different countries from 2001-02 to 2020-21 employed Markov chain analysis, the results unveiled that Sudan retained the lion's share at 89.4% of India's sugar exports, followed by Myanmar at 57.3%, Somalia at 55.8%, Iran at 48%, the United Arab Emirates at 36.6%, Sri Lanka at 28.2%, Bangladesh at 10.7%, Pakistan at 5.4%, with the remaining 56.2% distributed among various other nations. Notably, India maintained loyal sugar exporters in Sudan, Myanmar, Somalia, Iran, the UAE, and Sri Lanka.

An Analysis of the Financial Gains from Colonialism of Great Britain

The British Empire is known for its large territory ranging all the way from the Americas to Oceania, with dozens of colonies that brought the empire great wealth and capacity to industrialize and mass produce. Based on data and information on the amount of British colonial production, this article focuses on calculations and estimations of the total colonial gain of the empire above. By estimating the amount of production in selected significant colonies, and then converting the results into the desired unit of measurement, a calculated value of colonial wealth can be achieved. The resulting values reveal that the British Empire is estimated to have generated more than 35 trillion British pounds, 56 million pounds of tobacco, 54 million tons of sugar, 173 million tons of rubber, 39 million tons of wool, and 26 million Terawatt hours of oil. Through calculations of the total colonial gains of the British Empire, the effect of colonization on the mother country and its influence on the modern world can be more easily and directly seen.

The use of UAS-based high throughput phenotyping (HTP) to assess sugarcane yield

A sensor mounted on an unmanned aerial system (UAS) may enable breeding programs’ selection efficiency. The objectives of this study were to investigate the use of UAS with red, green, and blue (RGB) camera to assess sugarcane yield and to investigate the direct and indirect influences of canopy features on cane yield of sugarcane. A trial was conducted from 2019 to 2021 at the Texas A&M AgriLife Research and Extension Center in Weslaco, Texas, and arranged in a complete randomized block design, consisting of 7 genotypes with 4 replications. Seven UAS image acquisitions were performed at the plant cane stage using an RGB sensor. At the first ratoon stage, five flights were conducted using RGB and multispectral sensors. Ground measurements were obtained, including pol, tons of sugar per hectare (TSH), and tons of cane per hectare (TCH). The results showed that the correlation of canopy features with pol at the elongation phase was poor, compared to those acquired at the maturity phase. Likewise, the most significant correlations between canopy features with TSH and TCH were found in the late elongation to maturity phase. In addition, a good agreement of the validation dataset between the observed and predicted pol (R2 0.58, RMSE 0.77%), TSH (R2 0.68, RMSE 2.24 Mg ha−1), and TCH (R2 0.66, RMSE 13.64 Mg ha−1) was observed. The canopy height model (CHM) and Normalized Difference Vegetation Index (NDVI) had the highest direct effect on TCH. Therefore, assessing sugarcane yield using UAS-based imagery looks promising for High Throughput Phenotyping (HTP) in sugarcane breeding programs.

Sustainable Sugarcane Initiative- The Saviour of Sugarcane Sector

Sugarcane, a crop that has a huge impact on the livelihood of many farmers and sugar industries in the world. In India, about 50 million farmers depend on sugarcane yield which is about 7.5% of the village population. India has more than 538 sugar mills produces 32.93 million tons of sugar, jaggery, and its by products like Molasses, Bagasse etc. But due to the various issues like erosion in flooded soil which leads to the nutrients leaching, declining water table due to the erratic monsoon and increase in cultivation cost and steady yield (productivity stable as about 65-70 tons/hectare), a new technology is essential to meet future demands. Sustainable Sugarcane Initiative (SSI) is a method of sugarcane cultivation whose main purpose is to enhance sugarcane production by greater input use efficiency. SSI involves the use of less seeds, less water and optimum usage of fertilizers and manures with wider spacing thus leads to more productivity( more than 40% than present), efficient water usage (more than 40% than present) ,more profit (more than 30% than present).

Significant energy savings in the beet sugar industry to reach the decarbonization goals

Biomass-based energy (solid fuel or biogas) and green electricity take a growing share in today’s low-carbon/carbon-free energy sources. Contrary to industries with high-temperature energy consumption (e.g. steel or cement industries), the sugar industry uses relatively low-temperature energy (except for milk of lime production). To reach low-carbon/carbon-free reduction, the sugar industry will have to re-design its complete energetic scheme. The panorama of solutions answering the aforementioned questions are reviewed. Among these solutions, the optimization of the process by using existing well-known technologies is the 1st option: mechanical vapour re-compressors (MVR), heat pump, cogeneration technologies, by-product anaerobic digestion, etc. Combining these solutions will support the sugar industry to decrease significantly its specific energy consumption. As a reference, today’s sugar factories have a specific consumption between 900 to 1200 kWh of primary energy per tonne of sugar. A target for the future is to decrease the specific primary energy consumption to 620 kWh per tonne of sugar (without pulp drying). This new benchmark could be even improved in the case of using low-carbon electricity imported from the grid. How far could one go into the decarbonization of beets sugar factories? Is the objective of having net-zero emissions for sugar production realistic?

Growth and Yield Potential of New Sugarcane Varieties during Plant and First Ratoon Crops

Newly released sugarcane varieties need to be adapted to various environments. This research was aimed at examining the growth and yield potential of newly released varieties of sugarcane in the first year as plant cane (PC) and the second year as first ratoon cane (RC1) on dry land. The research was carried out at Wedarijaksa station, Trangkil Sugar Mill area, Pati, Central Java in 2019–2021. Four sugarcane varieties were grown using a double rows system, AAS Agribun, ASA Agribun, AMS Agribun, and CMG Agribun and one commercial variety, PSJK 922. Measurements of crop growth were made periodically: yield components at harvest in PC-RC1, and physiological characteristics 5 months after planting. The results indicate that mean tonnes of cane and sugar per hectare between PC and RC1 decreased by 22.7% and 21.0%, respectively, for AAS Agribun, ASA Agribun, and CMG Agribun due to decreased stem weights. AMS Agribun showed the smallest decrease in tonnes of cane (4%) and increase in tonnes of sugar per hectare (2%) from PC to RC1. The highest number of tonnes of sugar in PC was achieved by ASA Agribun (12.8 t ha−1), slightly above PSJK 922 (12.69 t ha−1). The decline in tonnes of cane and sugar needs to be reduced by the continuously improving cultivation techniques. The mean photosynthetic water use efficiency of tested new varieties was 7.46 µmol CO2 mol H2O−1. These research findings provide information on crop performance and can be used as a basis for selecting varieties to be developed in the region. Further studies will be required to test these new sugarcane varieties in a wide range of agroecological zones in Indonesia.

Technical Efficiency of Sugar Industry in Sudan: Stochastic Frontier Approach

This paper employs Stochastic Frontier Analysis (SFA) to estimate technical efficiency of major sugar producers in Sudan, that includes Kenana Sugar Company and four producers of Sudan sugar company (SSC) which include Sennar, Assalaya, New Halfa, and Al-Genied manufacturers. The production function of sugar output employs three inputs: capital, labor, irrigated area. The finding of the paper indicate technical inefficiency (distance from optimum production frontier) of Sudan sugar company is about 8 percent, implying output loss of (5,000) tons of sugar per annum for each producer. Estimation results in the paper also indicate Kenana Sugar Company is performing at the highest level of efficiency in the group with only 0.12 percent inefficiency level. The output loss due to such technical inefficiency for Kenana Sugar Company is estimated 360 tons of sugar per annum. The finding in the paper also indicate a major source of the inefficiency of SSC producers is over staff of employment (decreasing return to scale to labour input) and under utilization of the available capital inputs (increasing return to scale to capital input).

Sugarcane yield prediction and genotype selection using unmanned aerial vehicle‐based hyperspectral imaging and machine learning

AbstractSugarcane (Saccharum spp. interspecific hybrids), a high biomass perennial crop, in which manual data collection for early yield prediction, through its growth cycle (∼12 mo long), is labor intensive and time consuming. Alternately, aerial imagery can be explored to predict yield‐related components and high‐throughput phenotyping for genetic selection. In this study, aerial imagery and ground data were collected in Stage IV (final stage of genotype selection) of the Florida sugarcane cultivar development program to evaluate the use of unmanned aerial vehicles in yield prediction (tons of cane per hectare [TCH], sucrose concentration, and tons of sugar per hectare [TSH]) in multiple new genotypes (13 in plant cane crop, nine in first ratoon crop). Aerial imagery data were collected using hyperspectral sensor, and yield data were collected through manual sampling of sugarcane stalks at harvest. The gradient‐boosting regression tree model was selected based on low mean absolute percentage error on multiple dates (April, July, and September) to determine the best timing of yield predictions. Results showed that yield was predicted with greater accuracy in July in plant crop and April in the first ratoon crop. Also, sucrose percentage was predicted with greater accuracy (94% in plant crop and 93% in first ratoon crop) than TCH and TSH. Although only two out of the top five genotypes were common in both selection methods (measured vs. predicted yields) in Stage IV, high accuracy in TCH and sucrose percentage shows that aerial imagery may be useful in making genotype selection in early stages when actual yield estimation is not feasible.

Composted Sewage Sludge Application in a Sugarcane Seedling Nursery: Crop Nutritional Status, Productivity, and Technological Quality Implications

Composted sewage sludge (CSS) contains large amounts of organic matter and nutrients and can be used as an organic fertilizer to improve growth, yield, and quality of sugarcane. However, there is a lack of information regarding the impact of CSS application on sugarcane seedling performance in nursery environments. A field study was conducted using a randomized complete block design to evaluate the development, nutritional status, productivity, and technological quality of sugarcane seedlings after CSS application with or without mineral fertilizer. Morphological variables (stem height, diameter, and number, as well as leaf area), technological attributes (total recoverable sugar: ATR; quantity of sucrose in sugarcane juice: Pol; Brix: percentage (weight/weight) of soluble solids contained in juice; TAH: tons of sugar per hectare), nutritional status, and sugarcane productivity were evaluated. Treatments did not influence morphological and technological variables except for TAH but did positively alter nutritional status and seedling productivity. The application rates of 5.0 and 7.5 Mg ha−1 of CSS with or without mineral fertilizers (MF) provided the greatest increase in crop productivity. Our results indicate that CSS can be a sustainable nutritional management option in sugarcane seedling nurseries, resulting in greater crop productivity at lower mineral fertilization rates.

Research and Development Prospects for Sugarcane Industry in Vietnam.

Sugarcane is one of the most important industrial crops in Vietnam and covers a total of 127,000 hectares of plantation area. In the season 2020–2021, Vietnam has produced 0.763 million tons of sugar (accounting for 0.34% total world sugar production). A current sugarcane production of 7.498 million tons is being used mainly for sugar production for direct consumption, ethanol production, bio-electricity and fertilization. To ensure crop sustainability, various policies and plans have been implemented. Crop breeding and zoning improvement programme significantly influence sugarcane production and sugar yield. Over 25 years since the programme “one million ton of sugar” was promoted, Vietnam currently possesses 25 sugar mills with a total capacity of 110,000 tons of sugarcane per day. Major problems of sugarcane industry as well as research and development have been discussed in this review. Recent research and development work focused on the added values of co-products to ensure sustainability of the sugarcane industry. Molasses will be used for ethanol production, and bagasse is used as the biomass for the alternative energy. Sugarcane and sugar would be the main feedstocks for those bio-economy growths in Vietnam. To keep the sustainable development of the sugar industry, and to meet the demand of the food and non-food requirements, it is necessary to upgrade the sugar value chain through the adoption and the development of co-products of the sugar industry.

Yields of Promising Sugarcane Clones under Three Different Planting Arrangements

A field experiment was conducted at Kediri, East Java, to examine the influence of row spacing on the yield of five promising clones from August 2018-June 2020. The investigation was of a Split-Plot design with three replications. The main plot consisted of three planting arrangements: SR, single row spacing at 110 cm, DR1, double rows spacing 50+135 cm, and DR2, double rows spacing 50+170 cm. Sub-plots consisted of five promising clones and one check variety: MLG 5, MLG 9, MLG 14, MLG 52, MLG 55, and PS 881. The results suggest no overall significant effect of planting arrangement on sugar yield, though clones may vary. There are significant differences in yield between some clones. Wider rows, DR2, show the highest yield in tonnes of cane per hectare (TCH) in PC (153.94 t/ha) with a slight decrease (14%) in RC-1 due to reduced plant population. Sugar yield in tonnes of sugar per hectare (TSH) in various planting arrangements ranges from 12.26-13.99 t/ha in PC and 10.68-11.93 t/ha in RC-1. MLG 9 can be released as a new variety with high cane and sugar yields.

Resistance of sugarcane varieties to smut (

Aims and methods An experiment was established in Australia in 2008 with 34 varieties of sugarcane, to determine disease development over the crop classes, and the relationship between resistance category and yield loss from sugarcane smut. Key results Yield loss was related to incidence and disease severity in different varieties. Susceptible varieties had > 40% smut infected plants in the plant crop whereas little smut infection was observed on intermediate and resistant varieties. Smut disease across all varieties increased from 5% incidence and 7% severity in the plant crop to 46% and 19% incidence and severity respectively in the first ratoon (first regrowth crop) and to 59% and 27% incidence and severity respectively in the second ratoon (second regrowth) crops. Strong negative correlations were observed for smut incidence (r = −0.57) and severity (r = −0.62) with cane yield in the second ratoon crop. For every percent of increase in smut incidence and severity, a loss of 574 kg and 756 kg of cane per hectare were estimated, respectively. Similarly, the losses of tonnes of sugar per hectare were estimated to 96 kg and 128 kg for each 1% increase in smut incidence and smut severity. Conclusion Regression analysis showed that yield loss can be reduced from > 40% for susceptible varieties to < 6% for resistant varieties. Implications A relationship of different resistance categories and yield loss due to sugarcane smut has been established to develop a guide for growers in selecting appropriate varieties for a particular agroclimatic zone.

Life cycle assessment of nine representative agroindustrial systems of sugar production in Mexico

Mexico is the sixth-largest producer of sucrose worldwide. Therefore, evaluating the environmental impacts of Mexican sugar and proposing impact mitigation strategies is of high importance since this would support better environmental performance and foster competition within the sector. However, the technological variability that occurs between farms and sugar mills, together with the different types of sugar that are produced, makes it difficult to identify a single agro-industrial production system for sugar production, that represents the entire sector. Environmental improvement strategies identified for one system are specific and have a low level of applicability to others. Therefore, the aim of this study is to develop a life cycle assessment study of nine representative sugar production systems in Mexico, considering 1 ton of sugar as a functional unit while also considering the types of sugar and technological level. The nine sugar life cycle systems analyzed were classified as follows: standard conventional (SC), standard semimechanized (SSM), standard mechanized (SM), refined conventional (RC), refined semimechanized (RSM), refined mechanized (RM), muscovado conventional (MC), muscovado semimechanized (MSM) and muscovado mechanized (MM). The results showed that conventional systems demonstrated a better environmental performance for all the impact categories analyzed, primarily because they have a lower energy requirement in cultivation and irrigation, require less fertilizers and applied pesticides, and in the industrial stage, require less chemicals for clarification. Regarding the types of sugar, Muscovado presented the lowest environmental impacts in all the categories analyzed, since it only requires one crystallization and centrifugation process, followed by drying, which is associated with lower requirements for electricity, heat, and steams. The results would suggest that the strategic avenues for further improving the environmental profile of sugarcane production and processing could include (a) continued pursuit of high yields, which is an important determinant of the environmental impacts of agricultural products, (b) precision application of fertilizers to reduce the potential for losses to the environment and (c) maximizing the utilization of coproducts to increase environmental credits.

Registration of ‘CP 13‐4100’ sugarcane

Abstract‘CP 13‐4100’ (Reg. no. CV‐202, PI 698546) sugarcane cultivar (a complex hybrid of Saccharum spp.) was developed through cooperative research conducted by the USDA‐ARS, the University of Florida, and the Florida Sugar Cane League, Inc. The Florida Sugarcane Variety Committee (FSVC) released CP 13‐4100 in June 2020 to growers for commercial cultivation on mineral (sand) soils. It originated from a polycross made at Canal Point (CP) on 3 Dec. 2008 where CP 96‐1252 was the female parent and the male parent was unknown and could be any one of genotypes used in the polycross. CP 13‐4100 was released by FSVC for its high cane and sucrose yields, acceptable commercial recoverable sucrose, and resistances to orange rust, leaf scald, Sugarcane mosaic virus strain E (mosaic), and smut, and acceptable levels of susceptibility to brown rust. CP 13‐4100 and commercial reference checks (i.e., CL 88‐4730, CP 96‐1252, CPCL 97‐2730) yield data were collected from 12 harvests (i.e. three crop cycles—plant cane, first, and second ratoon—at four sand‐soil locations) in final‐stage replicated yield trials. Compared with CL 88‐4730 and CPCL 97‐2730, CP 13‐4100 had significantly (P ≤ .0001) higher cane yield (tonnes of cane per hectare: 18.7 and 29.5%), sucrose yield (tonnes of sugar per hectare: 26.3 and 30.7%), and economic index (EI; 10.9–16.9%) and no significant differences from CP 96‐1252 in these traits. CP 13‐4100 tested negative for the Bru1 marker, which is linked to a quantitative major locus of brown rust resistance. CP 13‐4100 could be considered moderately tolerant to freezing among 23 tested genotypes.

Econometric Analysis of the Cane Sugar industry determinants in Egypt

Sugar is an industrial agricultural commodity of strategic importance at the global level. At the local level, the sugar industry from the cultivation of sugar cane is considered an ancient industry that was supplemented by the manufacture of beets and the extraction of sugar from it. The research problem was represented in the existence of a sugar food gap estimated at 875.8 thousand tons of sugar as an annual average for the period (2000-2018). To fill this gap, the state imports sugar from abroad to meet the deficit. It is aimed study the current situation of the sugar industry in Egypt by analyzing the food gap for it and raise the rate of self-sufficiency in sugar. Then, the study was concerned with estimating the variables affecting each of the area and quantity of supplied cane, as well as the supply price, and the efficiency of sugar extraction on the function of the operating efficiency of cane sugar manufacturing factories in the main governorates (Minya, Sohag, Qena, Luxor, and Aswan), during the average period (2016- 2018). Similarly, these variables affecting the aforementioned cane yield can be estimated on the function of the amount of sugar produced/ operating day of the cane sugar factories in the governorates of Egypt during the same period, using the Panel Data analysis. The most important results of the study revealed the following:1-The results show that the variable 𝑙𝑛 𝑥10𝑡 that expresses the average price of supplying a ton of cane during the study period is significant and has a negative sign, as shown in the model estimating the equation of the operational efficiency ratio, as an increase in the average price of supplying a ton of cane by 10% will lead to The operational efficiency decreased at a rate of about 3.11%. 2- It is also evident from the results of the model estimating the equation of the amount of sugar produced for one working day that the variable 𝑙𝑛 𝑥6𝑡 that expresses the degree of sweetness of sugar produced from sugar manufacturing factories during the same period, it is significant and its sign is positive, as an increase in the degree of sugar sweetness by 1% will lead to an increase in quantities Sugar produced from manufacturing per day at a rate of about 19.6%. 3- It is clear from the measures of economic efficiency for the production of cane sugar, the relative superiority of farmers of the Arab Republic of Egypt during the period (2013-2018), which is attributed to the response of the farmers’ lands to the production elements used in them, due to the high degree of fertility of their lands, and the increase in the accumulated experiences of the farmers.

Coupled support for sugar beet in the European Union: Does it lead to market distortions?

AbstractUnder the EU Common Agriculture Policy, only 11 of 19 sugar beet producing EU Member States provide coupled direct payments for sugar beet. This paper analyses the market effects of this uneven implementation of an agricultural policy instrument along the sugar supply chain, focusing in particular on changes in sugar production in individual EU Member States. In addition to previous literature, the effects on the production of competing crops to sugar beet are also presented. Moreover, the effects of coupled support are investigated under two different yield levels to account for yield uncertainties arising from an application ban on certain insecticides that came into force in the EU in 2018. The simulation was carried out using the partial equilibrium model AGMEMOD. Results suggest that the market‐distorting effect of coupled support for sugar beet remains limited and tends to be higher under an optimistic yield development. Assuming unchanged yield growth, the simulated increase in sugar production of EU countries providing coupled support totals 258,000 tonnes of sugar (+5.7%), while sugar production in EU countries without coupled payments declines by only 21,000 tonnes (−0.2%) resulting in an overall increase in EU sugar production of 236,000 tonnes (+1.3%). Despite these rather limited market‐distorting effects, providing coupled support to sugar beet cannot be supported from an economic point of view because it contradicts the objective of a stronger market‐orientation of EU agricultural production.

Life cycle assessment of sugar and electricity production under different sugarcane cultivation and cogeneration scenarios in India

Sugarcane is a valuable raw material for bioenergy and bioproduct production. The environmental performance of sugarcane-derived bioenergy and bioproducts vary with sugarcane cultivation practices and energy conversion technologies. A farm to factory gate life cycle assessment (LCA) is conducted to assess the energy and environmental performance of sugar production and bagasse electricity cogeneration in Maharashtra, India under different scenarios. Altogether 20 scenarios were developed taking four sugarcane seasons (adsali, ratoon, preseasonal and suru) and four cogeneration boilers (low pressure, medium pressure, high pressure and very high pressure). The functional units are the production of 1 tonne of sugar and 1 MWh of surplus electricity. The ReCiPe 2016 midpoint (H) method is used for impact assessment. System expansion is applied to assess the alternative uses of sugarcane by-products (trash, press mud and bagasse ash). The global warming potential (GWP) of bagasse cogenerated electricity and sugar range from 90 to 142 kg CO2-eq MWh-1 and 324–834 kg CO2-eq t-1 among the scenarios. The water consumption potential (WCP) varies from 209 to 354 m3 MWh-1 for electricity and 768–2097 m3 t-1 for sugar. The Cumulative Energy Demand (CED) for electricity and sugar ranges from 0.8 to 1.2 MJ kWh-1 and 3–8 MJ kg-1. The Energy Return On Investment (EROI) differs from 2.7 to 4.5 for electricity and 2.1 to 5.3 for sugar. The alternative uses of sugarcane by-products contribute to negative emission and lower the overall GWP by 13–15%. Scenarios producing only sugar have a much higher environmental impact than scenarios producing both sugar and surplus electricity. The combination of adsali sugarcane and very high pressure cogeneration boiler provides the highest environmental benefits among all scenarios. The findings can help enhance cleaner production initiatives in the Indian sugarcane sector.

Ingredient makers shrink sugar in yogurt

Novozymes and Firmenich have combined their sugar-reduction technologies for use in sweetened yogurt. Yogurt with half the sugar will taste just as sweet, the companies claim, thanks to the addition of a taste modulator from Firmenich and a version of the enzyme lactase from Novozymes. Lactase breaks down the milk disaccharide lactose into glucose and galactose, both of which which taste sweeter than lactose. Overall, Firmenich says, it has helped customers remove 300,000 metric tons of sugar .

INVENTORIES IN THE SUGAR MARKET IN MEXICO

Objective: To determine the minimum inventory which guarantees the domestic consumption supply and sugar exports in Mexico. The hypothesis was that an optimal inventory would lower storage costs and increase the sugar producers’ income. Methodology: To achieve the objective a spatial and temporal equilibrium model applied to the Mexican sugar market for the 2015 sugar cycle was formulated. Results: The sugar industry in Mexico maintains an average monthly inventory of 831 thousand tons of sugar, a high inventory for most of the year. The inventory level could decrease to 416 thousand tons, given that this level guarantees the supply of the domestic demand and exports in the assessed year. Implications: A management policy that keeps sugar inventories at their minimum level allows for a reduction of storage costs by 594 million pesos (MXN) and increases the income of the sugar producers by 635 million pesos (MXN). Conclusions: Due to the positive effects on the producer's income, it is recommended that the sugar sector promotes a minimum inventory policy.

Impact of Green Cane Harvesting on Pest Management in Sugarcane

Green cane harvesting is a new agricultural practice that provides many benefits to sugar cane production in Brazil by allowing cane straw to remain on the soil surface. However, this system has complicated the management of weeds, pests and diseases. This review will highlight the impact of green cane harvesting on the management of weeds, insect pests, and pathogens in sugar cane production, and cover novel techniques and practices used to manage pests in this production system. Brazil has a unique agroecosystem that includes tropical and subtropical climates and distinct technical challenges relative to other agricultural regions around the world. Sugarcane stands out as an economically important crop in Brazilian agriculture, both in terms of its planting area and the complexity of the production system (e.g., constant changes in planting, cultural practices, and harvest managements). Brazilian sugarcane production in the 2018/2019 season was 620.44 million tons produced over more than 8.5 million hectares distributed mainly in the states of São Paulo, Goiás, and Minas Gerais. Currently, 38% of this production is intended to produce sugar and 62% to ethanol, generating 29.04 million tons of sugar and 33.14 billion liters of ethanol, making Brazil the largest sugar and ethanol producing country in the world. The sugarcane agroindustry continues to expand in Brazil, showing a great capacity to aggregate value to byproducts of ethanol and sugar, such as vinasse (fertilizer), filter cake (fertilizer and soil conditioner), bagasse (raw-material for industries; animal feed; and electrical energy generation), and plant straws (electrical energy generation). The adoption of mechanized harvests without burning has allowed accumulation of sugarcane straw residues over the cropping area (green cane harvesting). Approximately 84% of the sugarcane production area in Brazil follows green cane harvesting practices. This harvesting system has made the management of weeds, pests and diseases even more complex in sugarcane fields than before. Green cane harvesting has made pest and weed management (mainly) more complex. The presence of residues on the soil directly affects the action of pre-emergent herbicides that are most commonly used in sugarcane and increases the incidence of some important pests such as S. levis and M. fimbriolata. Integration of management programs for weeds, pests, and diseases generates economic benefits and control efficacy (broad spectrum action), maximizing their individual efficacy level, reducing the dependence on only one of them and the risk of selection of resistant pest populations. Monitoring, planning, and evaluation of the history of the sugarcane fields are essentials and assist in decision making regarding the method and time of control to be used. The efficiency of this system assists in the maintenance of high yields, health, and longevity for sugarcane fields.