Sugarcane Farmers Research Articles

Technical efficiency of sugarcane farming in East Java, Indonesia: A bootstrap data envelopment analysis

Abstract Sugarcane is an essential commodity in Indonesia. However, climate change negatively affects the sugarcane production efficiency. This study aims to measure the technical efficiency of sugarcane farming using a bootstrap data envelopment analysis (DEA) approach, compare the efficiency of irrigated and rain-fed sugarcane farming, and determine the factors affecting the technical efficiency of sugarcane farming in East Java, Indonesia. Primary data were collected from 451 sugarcane farmers during the 2020–2021 planting season. The results indicate that the “bias-corrected” technical efficiency scores of the single- and double-bootstrap approach (0.624 and 0.561) were lower than that of conventional DEA (0.714). The efficiency score of irrigated sugarcane farms (0.593) was higher than that of rain-fed farms (0.529). Moreover, the farmers’ age, household size, dependency, farming experience, training, subsidies, crop diversification, and access to irrigation impacted sugarcane farming’s technical efficiency. Improvement of 1% in training, irrigation access, and subsidies increased the technical efficiency by 0.034, 0.032, and 0.030, respectively. This strategy is expected to enhance the productivity and technical efficiency and reduce the poverty in rural households in East Java.

Developing Site-Specific Prescription Maps for Sugarcane Weed Control Using High-Spatial-Resolution Images and Light Detection and Ranging (LiDAR)

Sugarcane is a perennial grass species mainly for sugar production and one of the significant crops in Costa Rica, where ideal growing conditions support its cultivation. Weed control is a critical aspect of sugarcane farming, traditionally managed through preventive or corrective mechanical and chemical methods. However, these methods can be time-consuming and costly. This study aimed to develop site-specific, variable rate prescription maps for weed control using remote sensing. High-spatial-resolution images (5 cm) and Light Detection And Ranging (LiDAR) were acquired using a Micasense Rededge-P camera and a DJI L1 sensor mounted on a drone. Precise locations of weeds were collected for calibration and validation. Normalized Difference Vegetation Index derived from multispectral images separated vegetation coverage and soil. A deep learning (DL) algorithm further classified vegetation coverage into sugarcane and weeds. The DL model performed well without overfitting. The classification accuracy was 87% compared to validation samples. The density and average heights of weed patches were extracted from the canopy height model (LiDAR). They were used to derive site-specific prescription maps for weed control. This efficient and precise alternative to traditional methods could optimize weed control, reduce herbicide usage and provide more profitable yield.

Evaluating Belizean Sugarcane Farmers’ Adoption Intentions Regarding Organic Fertilizer

Sugarcane is vital to Belize’s economy, significantly contributing to its Gross Domestic Product and supporting a large portion of the population. It is necessary to address the declining soil health in this nation due to excessive chemical fertilizer use, and Belize aims to promote organic fertilizers, which enhance soil quality and reduce environmental impacts. The primary purpose of this study was to investigate the determinants of adoption intentions regarding organic fertilizers among Belizean sugarcane farmers using the Extended Theory of Reasoned Action. Data were collected from 207 farmers in the Orange Walk and Corozal districts using a non-probability sampling approach via a self-administered questionnaire measuring perceived health risks, environmental concerns, attitudes, subjective norms, and adoption intentions. The results revealed that both perceived health risks and environmental concerns influenced farmers’ attitudes and subjective norms, which, in turn, affected their adoption intentions, as revealed through path analysis; socio-economic factors, years of farming experience, and ownership background partially affected adoption intentions regarding organic fertilizers, as determined via binary logistic regression analysis. The findings suggest that raising farmers’ awareness of health risks and environmental crises, as well as enhancing farmers’ knowledge and their positive attitudes towards the use of organic fertilizers, will contribute to the sustainable development of the sugarcane industry in Belize. Some interventions by policymakers are recommended to support the transition to the use of organic fertilizers in sugarcane farming.

Burning fields, fading memories: exploring the effects of sugarcane burning on air quality and cognitive functioning – A case study in Northeast Thailand

This study assessed the relationship between PM2.5 concentration and the working memory of sugarcane farmers (n = 444) in Khon Kaen Province, one of the largest sugarcane producers in the Northeast region of Thailand. The relationship between the ambient PM2.5 concentrations and the working memory of sugarcane farmers was evaluated using two working memory outcomes. These outcomes included a working memory difficulty score derived from self-report of difficulty in daily tasks that require working memory and an objective memory test score consisting of a set of number recall exercises. The PM2.5 concentration data in this study were obtained from air quality monitoring stations located in the vicinity of the study locations, ensuring both precision and relevance to local air conditions. The regression results showed that farmers in the low-burn farming zone had less difficulty with working memory and better performance on number recall exercises, compared to farmers in the high-burn farming zones, even after controlling for health and socio-economic factors. Our findings highlight the potential impacts of PM2.5 exposure on the cognitive functions of farmers who burn sugarcane residues in Thailand. Our study supports the need for the government of Thailand or health agencies to establish an effective policy to reduce sugarcane residue burning in Thailand.

A Comparative Study of Different Unorganized Sectors’ Workers in India to Identify Musculoskeletal Disorder Prevalence through Empirical Survey and Deep Learning Methods

Background:: Musculoskeletal disorders (MSDs) are a group of non-fatal injuries that can occur as a result of various repetitive workplace activities, mainly in unorganized sectors. Workers who engage in highly repetitive activities involving constant hand effort, localized mechanical pressure, and vibration are more prone to developing these disorders. Objective:: The objective of this research was to determine the prevalence of MSDs among workers in various unorganized sectors in India who perform hand-intensive occupations. Method:: A cross-sectional study was conducted, involving 340 workers from diverse groups such as sugarcane farmers, footwear industry workers, and tarpaulin weavers, to accomplish this goal. Data for the survey was collected using a questionnaire. Additionally, a comprehensive time study and a deep learning-based posture detection study were conducted on the different activities performed during the workers' occupational tasks. The chi-square test was used to assess the relationship between discomfort and work repetitiveness. Result:: The data analysis revealed that the working activities (especially cutting/harvesting, rubber cutting, etc.) of unorganized sector workers were repetitive, with more than half of each activity’s work cycle involving a similar usage pattern. Furthermore, a significant association was observed between the level of discomfort and work repetitiveness among workers in different sectors (sugarcane farmers: p < 0.01, footwear industry workers: p < 0.05, tarpaulin weavers: p < 0.05). Consequently, it can be concluded that prolonged occupational activities involving repetitive and prolonged standing may contribute to the occurrence of MSDs. Conclusion:: Ergonomic interventions/modifications in the form of patent work will be necessary to prevent these issues in the near future.

Driving sustainability in the sugarcane industry: Life Cycle Assessment of conventional and emerging spraying technologies in Tanzania

Sugarcane dominates global sugar and bioethanol production, involving extensive cultivation and supply chain activities. The sugarcane development encounters challenges, such as climate change, diseases, pests, and water scarcity, affecting growth and yields. Sugarcane management often involves the use of pesticides, which risk soil and water contamination. It also leads to biodiversity loss, high water use, greenhouse gas emissions, and energy consumption. This study conducted a life cycle assessment to compare the environmental impacts of cropdusters and drones in ripener application for sugarcane farming. The life cycle assessment enables informed decisions on sustainable practices by providing a holistic view of environmental impacts, facilitating comparisons, and identifies hotspots. The analysis examined the impacts of machinery, ripener compounds, and spraying operations. It explored using sugarcane waste (bagasse) as bioenergy for drone batteries or cropdusters. Results show that drones minimize environmental impacts by 11,557 kgCO2eq, 128,079 MJ, and 103 m3 for 40 ha farm compared to using cropdusters. Also, bagasse from a 40-ha farm can generate 1.93E+09 Wh of bioenergy, enough to charge drone batteries for spraying over approximately 4.9 million ha or to fuel cropdusters for 0.04 million ha of sugarcane. Conclusively, emerging technologies help to reduce environmental impacts and align with sustainable development goals, SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 15 (Life on Land). These goals promote renewable energy, enhance agricultural efficiency, and ensure sustainable resource management, fostering a global transition to sustainable practices.

Analysis Of Factors Influencing The Decision Of Sugarcane Farmers To Use The Services Of Financial Institutions Savings And Loan Cooperatives Independent Business Partners In Semboro Jember District

Analysis Of Factors Influencing The Decision Of Sugarcane Farmers To Use The Services Of Financial Institutions Savings And Loan Cooperatives Independent Business Partners In Semboro Jember District

Multiparameter analysis of Diuron and its metabolites (DCA and DCPMU) in different stages of zebrafish (Danio rerio) development

IntroductionDiuron (3-(3,4-dichlorophenyl)-1,1-dimethylurea) is a prominent herbicide in Brazilian agriculture, particularly in sugarcane farming. This herbicide persists in the environment and is transformed into potentially toxic metabolites, such as 3,4-dichloroaniline (DCA) and 3-(3,4-dichlorophenyl)-1-methylurea (DCPMU), raising concerns that encompass environmental contamination and One Health, which unites environmental and human health. Zebrafish are an appropriate experimental model to evaluate toxicity: they metabolically and genetically resemble humans and can be applied in ecotoxicology.MethodsIn this study, we have employed multiparameter evaluation to characterize the toxicity of environmentally relevant concentrations (0.5–100 μM) of Diuron, DCA, or DCPMU in Brazil, a developing country. In the early stages of zebrafish development, we performed the fish embryo toxicity test according to the guidelines established in OECD Protocol No. 236, extended to 144 h post fertilization (hpf). We also investigated the oxygen consumption rate in zebrafish embryos at 24 hpf, evaluated the acetylcholinesterase (AChE) enzymatic activity in zebrafish larvae at 96 hpf, and used the Comet Assay to assess DNA fragmentation in zebrafish larvae at 96 hpf. We subjected adult zebrafish to acute exposure for 96 h in accordance with OECD protocol no. 203 for the Acute Toxicity Test in Fish. Following this exposure, we analyzed mutagenicity by using the micronucleus test, which was complemented by quantification of nuclear anomalies (NA) in erythrocytes and further confirmed by histopathological investigations.Results and discussionExposure to any of the tested Diuron concentrations damaged DNA, and NA became significant beyond 10 μM Diuron. At 10 μM, DCA altered AChE activity, suggesting neuromuscular toxicity. Between 0.5 and 5 μM, DCA was potentially genotoxic, and 5–10 μM DCA induced nuclear pleomorphism. At all the tested concentrations, DCPMU damaged DNA, and NA emerged between 1 and 10 μM DCPMU. Adult zebrafish exposed to any of the tested Diuron, DCA, or DCPMU concentrations for 96 h did not exhibit significant histopathological alterations. Erythrocyte morphology analysis did not reveal mutagenicity. Although we observed non-mutagenic genotoxicity, chromosomal instability is of concern. The findings of this study contribute to our understanding of how Diuron and its metabolites affect zebrafish and highlights the need for multiparametric assessment to elucidate how herbicides and their metabolites impact the environment and human health. This endeavor informs regulatory measures for safely using Diuron and similar herbicides and reveals substantial implications for developing nations grappling with escalating water contamination due to pesticide use.

Human Resource Empowerment Regarding the Operation of TPS 3R Assets

This article provides an overview of the empowerment of Human Resources that have TPS 3R Assets. Berat Kulon, Kemlagi District is one of the villages that has the potential for the best TPS 3R asset management in Mojokerto Regency, which was originally able to rise with the large amount of waste in the operation of Village Assets, namely TPS 3R. Precisely since the Corona pandemic in early 2020, there has been a spike in the amount of waste in this village which then resulted in piles of garbage everywhere, however, there are also small groups of residents who take advantage of this momentum to increase the economic income of residents around Berat Kulo Village, one of which is by managing waste into handicrafts in the form of bags, but this business did not have time to develop, after the pandemic, residents returned to sugar cane farming which has indeed been very much pursued by residents. The purpose of this service is to emphasize building awareness of empowering Human Resources (HR) through the operation of TPS 3R Assets. Utilizing the Asset Based Community Development (ABCD) approach, the results of the community service are 1) Implementation of human resource empowerment for the operation of TPS 3R Assets and 2) Assistance in the operation of TPS 3R Assets through, a) Waste Management Education Seminar through TPS 3R, b) Implementation of the August 17th competition in the context of environmental cleanliness creativity, c) Procurement of garbage signs, and d) Procurement of garbage bins.

Effect of Row Orientation on Productivity Of Sugarcane With Potato as Intercrop

An experiment was carried out at the Regional Sugarcrop Research Station (RSRS) farm, Thakurgaon under the agro-ecological zone of Old Himalayan Piedmont Plain (AEZ-1) of Bangladesh, during 2016-2017 to 2017-2018 cropping seasons to evaluate the impact of row orientation on the productivity of sugarcane with potato as intercrop. Under the study eight treatments viz T1: Single row cane (SRC) only in north-south direction, T2: SRC + potato in North-South direction, T3: SRC only in east-west direction, T4: SRC + potato in east-west direction,T5: Paired row cane (PRC) only in North-South direction, T6: PRC + potato in north-south direction, T7: PRC only in east-west direction and T8: PRC + potato in east-west direction were tested following Randomized Complete Block Design with three replications Significant differences were found among the observed parameters except germination (%) of setts, number of internodes per stalk and unit stalk weight of sugarcane. The highest number of tiller and millable cane population, cane yield and brix reading were achieved from the treatment SRC + potato in the North-South direction. The highest intercrop yield, equivalent cane yield of intercrop, total adjusted yield and gross return were obtained from the treatment PRC + potato in north-south direction, but the highest net return and benefit cost ratio were obtained from the treatment SRC + potato in the North-South direction. Having the highest cane yield, net return and benefit cost ratio with less variable cost, sugarcane planting in a single row system with potato as intercrop in a North-South row direction could be considered the best package practice for successful sugarcane farming. Bangladesh Agron. J. 2024, 26(2): 7-15

Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria

In Nigeria, sugarcane is a prominent crop and the primary crop used to produce sugar. However, floods have been a major tragedy that has troubled Nigeria's small-scale farmers. The bulk of rural poor people are these small-scale farmers, and as poverty rates have been rising over time, corrective action is required. This study was therefore carried out to assess the poverty status of sugar cane farming households (affected by flood, and unaffected by flood) in Kwara/Osun State of Nigeria. The study employed two-stage sampling technique to select 120 sugarcane farming households in the study area. Descriptive statistics, the Flood Loss Estimation, Logit Regression and Foster Greer Thorbecke (FGT) are the empirical analytical tools employed to analyze the data collected for the study. The results of the poverty index analysis revealed that 46 percent of the respondents are relatively poor, the poverty depth was 0.16 which implies that 16 percent were below the poverty line and the poverty severity was 0.07 which implies that 7 percent of the respondents were severely poor. Also, it revealed that flood shocks, gender, household size, household income, access to credit and membership to social organization were significant determinants of poverty. The study then came to the conclusion that many coping mechanisms people employ are corrosive because they have detrimental long-term implications on the sustainability of household subsistence. For future risk assessments and flood mitigation, the study advises using a holistic strategy and adept models. The remedies outlined in this paper would help the government, private sector, and sugar cane farmers economically.

Combating Soil Salinity in Sugarcane Farming: Integrated Approaches and Bio-saline Agriculture Innovations

Sugarcane, a vital commercial crop globally, faces significant challenges due to soil salinity, particularly in India where regions such as Gujarat, Uttar Pradesh, Maharashtra, West Bengal, and Rajasthan are notably affected. Salinity impairs sugarcane growth through reduced water uptake, ion toxicity, nutrient imbalance, stunted growth and soil structure degradation. To combat these issues, various strategies have been proposed, including improving drainage, leaching, selecting salt-tolerant varieties, optimizing irrigation, and using soil amendments. Bio-saline agriculture, incorporating plant growth-promoting rhizobacteria (PGPR) and salt-tolerant plants, offers an innovative approach by enhancing soil fertility and crop resilience under saline conditions. Additionally, research indicates that long-term irrigation practices can exacerbate soil salinity, altering key soil parameters such as pH, electrical conductivity and sodium levels. Studies on spent wash application show variable impacts on sugarcane yield and quality, with optimal results observed at moderate application rates. Effective management of soil salinity through these combined approaches can mitigate adverse effects and improve sugarcane productivity and sustainability.

Technical Efficiency of Sugar Cane Farming in PT PG Rajawali II Unit PG Sindanglaut

This research aims to determine the profitability and technical efficiency of sugarcane farming in PG Sindang Laut, Cirebon Regency, West Java. The research method used was survey research with 60 respondents of 30 plant cane and 30 ratoon cane. The data analysis used includes (1) descriptive analysis, (2) Cobb-Douglas production function with the SFA approach using Frontier 4.1, and (3) income analysis. The results of this research showed that, land area, seeds, phonska fertilizer, and labor affect sugar cane production in the plant cane category. On the other hand, land area, seeds, phonska fertilizer, and ZA fertilizer affect the technical efficiency of sugar cane farming of ratoon cane category. The factors that influence technical efficiency in the plant cane category are age, farming experience, and family responsibility. While education and farming experience influence technical efficiency in the ratoon cane category. The average income from sugarcane farming in the plant cane and ratoon cane categories is IDR 8,526,816/ha and IDR 13,195,410/ha.

Quantifying energy fluxes in Tarai region of India during post-monsoon season: Insights from METRIC model, ET station and remote sensing

Accurate evapotranspiration (ET) assessment is crucial for agricultural water management, encompassing crop water requirements, irrigation scheduling, water budgeting and drought monitoring. This study integrates remote sensing-based surface energy balance model with in-situ ET measurements to evaluate surface energy fluxes and ET in Pantnagar, Tarai region. The Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC) model, using high-resolution remote sensing data, was validated against observations from an ET station equipped with large aperture scintillometer and micrometeorological tower, situated in sugarcane farm at Govind Ballabh Pant University of Agriculture & Technology (GBPUA&T), Pantnagar. On November 13, 2021, METRIC and Landsat-9 satellite data estimated an instantaneous ET of 7.39 mm day-1, closely aligned with the observed value of 6.72 mm day-1 recorded by the ET station. The findings confirm the METRIC model's high accuracy for spatial ET estimation and its associated micrometeorological variables. This study underscores the utility of the METRIC model, ET station and remote sensing in determining ET and energy flux which may be further utilised in the estimation of crop water requirement, energy fluxes and irrigation water management for sugarcane cultivation in the Tarai region.

Increased sugarcane productivity and environmental improvement in acid sulfate soils: A win–win system

AbstractThis paper describes a sugarcane farming system on acid sulfate soils (ASS) in coastal, eastern Australia which has improved crop production, increased carbon sequestration, enhanced soil health and controlled drainage discharge to estuaries. The farming system has evolved as a collaboration between innovative sugarcane farmers, researchers and government agencies. The collaboration started when discharge from the farmed coastal floodplain ASS acidified an entire estuary in eastern Australia, wiping out all gilled and benthic organisms for 18 months. The event produced major conflicts between fishers, farmers, the community, entrained researchers and local and state governments. It led to a major initiative to develop sugarcane farming systems which enhanced environmental benefits and increased crop production. Such a win–win system has applicability to other locations with variable resource use conflicts. The system of cane land management adopted on the Tweed site is described.

Climate change loss and damage from droughts: key insights from Fiji’s sugar industry

ABSTRACT Climate change loss and damage (L&D) due to both sudden and slow-onset events are a growing concern for vulnerable countries. Over the last decade, agricultural communities in Fiji have suffered a range of serious L&D from severe drought events. Through a grounded theoretical lens, qualitative research was used to gain in-depth insights into L&D from droughts in the Fijian sugar industry. In-depth semi-structured interviews (n = 68) were conducted in two Indo-Fijian sugarcane communities, Barotu and Toko settlements in Western Viti Levu, Fiji, and with key stakeholders from government ministries, academia, and climate change experts at the national level. Purposive sampling was initially used to identify smallholder sugarcane farmers and key stakeholders. Theoretical sampling further identified key stakeholders for the interview. Despite implementing various adaptation measures, the Fijian sugar industry has suffered severe L&D, including non-economic L&D (NELD) and associated cascading effects. L&D included reduced yields, loss of crops, and reduced income. NELD included deterioration of mental, physical, and emotional health, loss of hope, and uncertainty. Cascading effects included increased food insecurity risks and impacts on children’s education. Key policy interventions are recommended, such as removing adaptation constraints, developing drought risk profiles and early warning systems, investing in livelihood diversification, and engaging in new markets to facilitate social and ecological transformations that will promote livelihood resilience. Key Policy Highlights: Climatic and non-climatic stressors are inherently interconnected and interact in a complex and complicated manner to enhance social-ecological systems (SES) vulnerability. Inadequate drought adaptation measures further marginalise farmers and ultimately increase their vulnerability to drought risks and loss and damage (L&D). L&D presents itself in various ways, including non-economic L&D and cascading effects that are impacting upon future generations. With projected climate change and the likelihood of impacts worsening, there is an urgency to address L&D more coherently through crucial policy interventions.

Impact of Financial Literacy on Financial Behavior among Sugarcane Farmers

Impact of Financial Literacy on Financial Behavior among Sugarcane Farmers

Environmental impact and energy balance assessment in ethanol production from sugarcane molasses: A life cycle analysis in southern India

Blending ethanol with fossil fuels is regarded as an important measure to reduce overall greenhouse gas emissions and the carbon footprint. However, there is a lack of comprehensive studies addressing overall greenhouse gas emissions and energy utilization during ethanol production from sugarcane in South India. This study represents a pioneering attempt to determine the emissions and resource utilization, enabling a comparison of the carbon footprint of the ethanol production process with that of using fossil fuels. The study employed the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model to calculate greenhouse gas emissions and resource utilization. Data was obtained from field studies conducted at Gayatri Sugars Limited, Telangana state, India. The collected data was input into a life cycle analysis (LCA) model in which two cane trash treatment methods were evaluated: burning and mulching. In terms of emissions, the CO2 emissions for one ton of sugarcane were 43.86 kg during cultivation, 45.98 kg during transportation, 69.05 kg during burning of cane trash, and 6.37 kg during the production of one ton of ethanol. The overall energy yield ratio was found to be 15.795 MJ/MJf. Emissions from sugarcane farming and transportation stages were high, significantly contributing to a high carbon footprint. The net emission was significantly lower for the mulching process, which also improved soil characteristics and fertility. The outcomes provide valuable insights for academia, industrial decision-makers, and policymakers at both state and central government levels.

Evaluating economic viability and environmental externalities of integrated tilapia-sugarcane farming in Maharashtra

In recent years, farmers in Maharashtra have engaged in aquaculture-sugarcane farming, with those from the Ujjani reservoir area practicing integrated sugarcane farming using tilapia farm discharge water. This study aims to systematically compare the economic viability and environmental externalities between sugarcane-only farms (SF) and tilapia-sugarcane farms (TSF) within the commanding area of the Ujjani reservoir. Primary data was collected from the 160 farmers (80 SF, 80 TSF), and Secondary data were collected from published literature, the Department of Fisheries, and fisheries cooperative societies. Data analysis used descriptive statistics to characterize demographic profile, farm performance (cost-benefit analysis, production function), and farmers' perceptions. Principal component analysis (PCA), cluster analysis, and two-way MANOVA were employed for environmental assessments. Results indicate that TSF yields higher profits across all cost scenarios, with a Benefit-Cost ratio of 1.69, surpassing SF's ratio of 1.55. The Cobb-Douglas production function analysis reveals increasing returns to scale for both SF and TSF, with the sum of coefficients exceeding one. The results of the Principal Component Analysis (PCA) indicate that 31 variables rated by sugarcane growers were extracted into ten components, which explains 65 % of the total variance for SF and 62 % for TSF. K-means cluster analysis grouped these components into four clusters, termed externalities of irrigation. A Two-way MANOVA indicated significant differences (p < 0.05) between SF and TSF farmers' perceptions of these externalities, with further distinctions among four farmer categories and significant interaction effects. Policy recommendations include financial incentives and environmental regulations to support TSF adoption, sustainable land-use policies, and institutional interventions for management practices and market research. These measures address challenges and promote the transition to sustainable TSF practices.

Dynamics of land use and land cover changes in Amibara and Awash-fentale districts, Ethiopia

The analysis of land-use and land-cover (LULC) changes is crucial for rural development planning, food security monitoring, and natural resource conservation. This study focuses on detecting LULC changes in Amibara and Awash-Fentale districts from 1985 to 2021. We utilized five sets of Landsat data (Landsat 5 TM for 1985, 1995, 2002, and Landsat 8 OLI for 2015 & 2020) and applied supervised maximum likelihood classification. Accuracy assessments revealed overall accuracies ranging from 88.9% to 95.3% for Amibara and 89.5%–93.2% for Awash-Fentale. Both districts exhibited six main LULC classes: agriculture, bareland, built-up, mixed forest, shrubland, and water bodies. In Amibara LULC changes from 1985 to 2021 revealed significant shifts, maintaining its primary bareland characteristic, concentrated agriculture, and expanding Prosopis-dominated shrubland due to livestock-mediated seed dispersal. Conversely, in Awash-Fentale bareland dominance decreased from 92.28% to 67.02%, while agriculture, built-up areas, and shrubland expanded. Water bodies emerged between 2015 and 2021 which is associated with the construction of Kesem Kebena dam for sugar cane farm production. The net gains were observed in shrubland (12.9%), agriculture (5.8%), mixed forest (4.1%), water bodies (1.5%), and built-up areas (0.9%), with bareland experiencing a loss of 25.3%. In conclusion, Amibara and Awash-Fentale underwent both comparable and distinct LULC shifts, featuring prevalent bareland and central agriculture, alongside Prosopis-driven shrubland expansion due to livestock dispersal. While mixed forest exhibited fluctuations, built-up areas and water bodies remained limited. Notably, Awash-Fentale showed higher LULC variability. Understanding these land cover changes helps assess vulnerability to climate impacts like droughts and floods, enhancing climate resilience. Insights from this study can inform sustainable land-use planning, conservation strategies, and policy interventions in the Afar region and similar areas. These observations highlight the need for integrated land management approaches that balance socioeconomic development with environmental sustainability.