Agricultural Plants Research Articles

Understanding the Normalization of Plantation Agriculture: The Case of Hass Avocado in Colombia

Plantations are not inherently normal, yet they have been normalized within traditional agricultural landscapes. This is the premise through which we explore why plantations thrive despite numerous social and ecological drawbacks. Accordingly, the aim of this paper is to present a framework to elucidate why Hass avocado plantations succeed, using Salamina, Colombia as a case study. We argue that these plantations prosper through a process of normalization, driven by the dynamic interplay between social structures and human agency in agriculture. Our theoretical framework regarding normalization unfolds in three stages: prescription, implementation embeddedness, and integration. To reach this outcome, we first build a theoretical foundation based on realist social theory and subsequently conduct a primarily qualitative case study, focusing on neighboring respondents to plantations for understanding the process of introduction, development, and persistence of these plantations in the landscape. Additionally, we consider supplementary interviews and secondary information to understand the context of Hass avocado expansion. We found that while normalization may appear to involve passive conformity, our analysis highlights the critical role of human agency. As our study demonstrates, agency fosters reflection and sustains various forms of resistance and counterbalance against systemic pressures. This recognition underscores the potential for proactive engagement and transformative action within agricultural systems, challenging and reshaping the prevailing norms.

Plant microbiome technology for sustainable agriculture

Plants establish specific interactions with microorganisms, which are vital for promoting growth and resilience. Although advancements in microbiome modulation technologies show great potential for sustainable agriculture, several challenges have hindered the wider application of plant microbiomes in the field. These challenges may include inconsistent microbial colonization, competition with native microbiota, and environmental variability. Current strategies, while promising, often yield inconsistent results in real-world agricultural settings, highlighting the need for more refined approaches. Agricultural practices and plant genotypes significantly influence the composition and function of plant-associated microbiota. A data-driven strategy that incorporates genomic profiling, environmental assessments, and optimized delivery systems is essential for selecting effective microbial strains. Additionally, refining farming practices, such as crop rotation, intercropping, and reduced tillage, along with robust plant breeding programs, can greatly enhance crop health and productivity.

The Analysis of Geospatial Factors Necessary for the Planning, Design, and Construction of Agricultural Biogas Plants in the Context of Sustainable Development

This spatial analysis focuses on the relevant elements regarding the use of renewable energy sources, in particular, biogas, taking into account sustainability. The characteristics of the processes of biogas formation are presented, including the technological and biological aspects of its production. The issues of agricultural biogas plant profitability are discussed using examples from Poland, analyzing the economic and financial aspects of investing in this type of plant. Geospatial analysis supported by geographic information systems (GISs) looked at factors affecting the relief of the land and also the analysis of local plans or zoning decisions for the selected site. In addition, distance relationships and geological aspects taking into account terrain, landslides, and forestation, as well as hydrological aspects relating to flood and flooding hazards, were examined. It analyzed the availability of utility networks and proximity to road infrastructure. It was also examined that the proposed project will not have a negative impact on environmental protection. The analyzed site meets favorable conditions for the construction of the proposed project, and the conclusion drawn from this study is to emphasize the importance of integrating renewable energy sources with information systems to achieve sustainable development.

A trade-off between investment in molecular defense repertoires and growth in plants.

Given the negative fitness effects that pathogens impose on their hosts, the benefits of resistance should be universal. However, there is marked variation across plant species in the number of nucleotide-binding leucine-rich repeat receptors, which form a cornerstone of defense. The growth-defense trade-off hypothesis predicts costs associated with defense investment to generate variation in these traits. Our analysis comparing features of the intracellular immune-receptor repertoires with trait data of 187 species shows that in wild plants, the size of the molecular defense repertoire correlates negatively with growth. By contrast, we do not find evidence for a growth-defense trade-off in agricultural plants. Our cross-species approach highlights the central role of defense investment in shaping ecological trait variation and its sensitivity to domestication.

Genetic Variability Studies in Chickpea (Cicer arietinum L.) for Yield and Contributing Traits Through Half-diallel Mating Strategy under Late-sown Conditions

Background: One of the oldest cultivated legumes, chickpeas (Cicer arietinum L.), are essential for world nutrition, especially with climate change. Chickpea output is poor despite rising demand for its nutritional value. Improved genetics can enhance yields to fulfil local and global demands. By selecting better parents and potential hybrids utilising half-diallel mating, breeders can hasten the development of high-yielding, durable cultivars. Methods: This study examined 55 half-diallel mating genotypes, comprising 10 parental lines and 45 F1 hybrids. At the Acharya Narendra Deva University of Agriculture and Technology Genetics and Plant Breeding Farm in Ayodhya, U.P., these were evaluated using a randomised block design with three replications under late-sown circumstances in 2022-23 rabi. Normal agricultural procedures were used. A four-meter row of each genotype was planted with 30 cm between rows and 10 cm between plants. Genetic indices like GCV, PCV, heritability, genetic progress, correlation coefficient and path analysis were evaluated. Result: ANOVA revealed significant genetic variability across all traits. Biological yield plant-1 had the highest PCV and GCV, followed by seed yield plant-1. Heritability and genetic progress were highest for days to 50% flowering and biological yield plant-1, indicating strong genetic control. Days to 50% flowering and maturity inversely linked with most yield-related characteristics. Seed yield was closely associated with primary and secondary branches plant-1, plant height, pods per plant, seeds pod-1, 100-seed weight and biological yield. Path coefficient study showed that all characteristics except days to 50% flowering, days to maturity and plant height influenced grain yield.

Modern-Day Green Strategies for the Removal of Chromium from Wastewater

Chromium is an essential element in various industrial processes, including stainless steel production, electroplating, metal finishing, leather tanning, photography, and textile manufacturing. However, it is also a well-documented contaminant of aquatic systems and agricultural land, posing significant economic and health challenges. The hexavalent form of chromium [Cr(VI)] is particularly toxic and carcinogenic, linked to severe health issues such as cancer, kidney disorders, liver failure, and environmental biomagnification. Due to the high risks associated with chromium contamination in potable water, researchers have focused on developing effective removal strategies. Among these strategies, biosorption has emerged as a promising, cost-effective, and energy-efficient method for eliminating toxic metals, especially chromium. This process utilizes agricultural waste, plants, algae, bacteria, fungi, and other biomass as adsorbents, demonstrating substantial potential for the remediation of heavy metals from contaminated environments at minimal cost. This review paper provides a comprehensive analysis of various strategies, materials, and mechanisms involved in the bioremediation of chromium, along with their commercial viability. It also highlights the advantages of biosorption over traditional chemical and physical methods, offering a thorough understanding of its applications and effectiveness.

Heavy metal dynamics in riverine mangrove systems: A case study on content, migration, and enrichment in surface sediments, pore water, and plants in Zhanjiang, China

Mangroves serve a crucial role as metal accumulators in tropical and subtropical marine ecosystems, particularly in riverine mangroves, which frequently interact with terrestrial sources. In this study, we focused on the Gaoqiao and Jiuzhou Rivers within the Zhanjiang mangrove forest in Guangdong, China, and collected leaves and surface sediments from the dominant mangrove plant, Aegiceras corniculatum, near the riverbanks. We focused on seven heavy metals (Cr, Cu, Zn, As, Cd, Pb, and Hg) in mangrove leaves, surface sediments, and pore water due to their environmental significance and frequent occurrence in mangrove ecosystems. We employed multivariate statistical methods and pollution indicators to assess the potential sources and risk levels of heavy metals in these sediments. Our results reveal that the concentrations of the seven heavy metals in the sediments of the Gaoqiao and Jiuzhou Rivers varied significantly, ranging from 0.03 mg/kg to 100.00 mg/kg. Cd posed the highest ecological risk, followed by Hg and As. The comprehensive potential ecological risk in the Gaoqiao River was lower than that in the Jiuzhou River, likely due to the distribution of industrial enterprises (such as printing and cement plants) in the upper reaches of the Jiuzhou River. Additionally, the heavy metal content in the leaves and pore water of A. corniculatum ranged from 0.01 to 51.58 mg/kg and 0.001 to 133.70 μg/L, respectively. There was a significant correlation between the heavy metal concentrations in the leaves and the pore water of A. corniculatum. Notably, the leaves of A. corniculatum exhibited a remarkable Hg-enrichment capability, highlighting its potential as a mercury accumulator. Most heavy metals in A. corniculatum leaves, pore water, and sediment were concentrated in the middle and upper reaches of the river, primarily due to anthropogenic terrestrial inputs from residential production activities upstream. Consequently, heavy metal pollution in riverine mangroves is primarily associated with human activities such as aquaculture, agricultural planting, and industrial production.

New Advances in Iberian Medieval Agriculture: Plant Remains from the Islamic Site of Castillo de Valtierra (Navarre, Northern Spain).

There has been a notable lack of archaeological research into the medieval period in Iberia, particularly in comparison to earlier periods. Consequently, the majority of our current understanding of agricultural practices and plant food sources in this region is derived from textual sources. However, there has been a notable increase in interest in archaeobotanical studies in medieval contexts over the past decade. In this context, this paper presents the results of a study of plant remains from Castillo de Valtierra (Navarre), with the objective of providing insights into agricultural practices and dietary habits during the Islamic period. In this area (the Ebro Valley), the Islamic period is divided as follows: Emiral period 756-929 AD, Caliphal period 929-ca.1012 AD, Taifal period ca.1012-1119 AD. This period was followed by the Christian period from 1119 AD onwards. Samples were collected from a variety of contexts in a systematic manner. A total of 2574 remains were recovered, and 57 taxa were identified. The findings of this study demonstrate that the community that inhabited Valtierra was primarily engaged in agricultural activities and had access to a diverse range of crops sourced from various productive areas, including cereal fields, home gardens, and forests.

Effect of Artificial Humic Acids Derived from Municipal Sludge on Plant Growth, Soil Fertility, and Dissolved Organic Matter

Due to its high nutrient utilization efficiency, liquid organic fertilizer has become a research hotspot in the field of agricultural planting. Artificial humic acids, which are near-nature products, can be deemed as a green liquid organic fertilizer, but few studies have been reported, which has limited their further application. In this study, artificial humic acids were derived from municipal sludge, and their effect on rice growth, soil fertility, and dissolved organic matter was investigated using multi-chamber root box experiments. The shoot and root biomass of rice can be significantly enhanced by artificial humic acids, and the heavy metal concentration in rice was within safe limits. Artificial humic acids can limit the decrease in soil pH, especially in the far-rhizosphere zone, and improve the distribution of nutrients in the rhizosphere, near-rhizosphere, and far-rhizosphere zones. The use of artificial humic acids led to a significant decrease in soil electrical conductivity. The dissolved organic carbon content in the root zone was significantly increased, and the fluorescence intensity of dissolved organic matter in the rhizosphere was significantly increased. The proportion of specific components of dissolved organic matter was just slightly changed in the rhizosphere and near-rhizosphere zones. Artificial humic acids promoted the humification of dissolved organic matter in the near-rhizosphere and far-rhizosphere zones. The findings indicate that the environmental impact of artificial humic acids is significantly different from conventional chemical fertilizers, and they show huge potential in the agriculture field.

Predictive Modelling of Land Cover Changes in the Greater Amanzule Peatlands Using Multi-Source Remote Sensing and Machine Learning Techniques

The Greater Amanzule Peatlands (GAP) in Ghana is an important biodiversity hotspot facing increasing pressure from anthropogenic land-use activities driven by rapid agricultural plantation expansion, urbanisation, and the burgeoning oil and gas industry. Accurate measurement of how these pressures alter land cover over time, along with the projection of future changes, is crucial for sustainable management. This study aims to analyse these changes from 2010 to 2020 and predict future scenarios up to 2040 using multi-source remote sensing and machine learning techniques. Optical, radar, and topographical remote sensing data from Landsat-7, Landsat-8, ALOS/PALSAR, and Shuttle Radar Topography Mission derived digital elevation models (DEMs) were integrated to perform land cover change analysis using Random Forest (RF), while Cellular Automata Artificial Neural Networks (CA-ANNs) were employed for predictive modelling. The classification model achieved overall accuracies of 93% in 2010 and 94% in both 2015 and 2020, with weighted F1 scores of 80.0%, 75.8%, and 75.7%, respectively. Validation of the predictive model yielded a Kappa value of 0.70, with an overall accuracy rate of 80%, ensuring reliable spatial predictions of future land cover dynamics. Findings reveal a 12% expansion in peatland cover, equivalent to approximately 6570 ± 308.59 hectares, despite declines in specific peatland types. Concurrently, anthropogenic land uses have increased, evidenced by an 85% rise in rubber plantations (from 30,530 ± 110.96 hectares to 56,617 ± 220.90 hectares) and a 6% reduction in natural forest cover (5965 ± 353.72 hectares). Sparse vegetation, including smallholder farms, decreased by 35% from 45,064 ± 163.79 hectares to 29,424 ± 114.81 hectares. Projections for 2030 and 2040 indicate minimal changes based on current trends; however, they do not consider potential impacts from climate change, large-scale development projects, and demographic shifts, necessitating cautious interpretation. The results highlight areas of stability and vulnerability within the understudied GAP region, offering critical insights for developing targeted conservation strategies. Additionally, the methodological framework, which combines optical, radar, and topographical data with machine learning, provides a robust approach for accurate and detailed landscape-scale monitoring of tropical peatlands that is applicable to other regions facing similar environmental challenges.

Origin and evolution of the blue light receptor cryptochromes (CRY1/2) in aquatic angiosperms.

Cryptochromes (CRYs), which are responsible for sensing blue light in plants, play a critical role in regulating blue light signals and circadian rhythms. However, their functions extend beyond light detection, as they also aid plants in adapting to stress and potentially other regulatory mechanisms. Aquatic angiosperms, which independently evolved from various angiosperm lineages, have developed specific adaptations to unique light qualities and environmental stressors found in aquatic habitats compared to terrestrial ones. It was hypothesized that the sequences and regulatory networks of angiosperm CRY1/2 underwent adaptive evolution in different aquatic angiosperm lineages. To test this hypothesis, we compiled comprehensive datasets consisting of 55 green plant genomes (including 37 angiosperm genomes), 80 angiosperm transcriptomes, and 4 angiosperm expression networks. Through comparative analysis, we found that CRY1 originated from a common ancestor of seed plants, whereas CRY2 originated from a common ancestor of land plants. In angiosperms, the CRY1/2 sequences of aquatic lineages exhibited positive selection, and the conserved valine-proline (VP) motif of CRY2 showed a convergent loss in two aquatic species. Co-expressed genes associated with blue light receptors (CRY) showed adaptations to aquatic environments, specifically in relation to flooding and osmotic stress. These discoveries shed light on the adaptive evolution of CRY1/2, encompassing their origins, sequences, and regulatory networks. Furthermore, these results provide valuable insights for investigating the uncharacterized functions and regulatory pathways of CRY and offer potential targets for enhancing growth and adaptation in agricultural plants.

Migration of Plutonium, Micro- and Macroelements in the “Soil–Plant” System at Different Soil Moisture

In the vegetation experiment, the plutonium, micro- and macroelements migration in the “soil–agricultural plant” system depending on soil moisture in the range from 15 to 40٪ of absolute soil moisture were studied. The content of 239Pu was analyzed by α-spectrometry with preliminary radiochemical isolation. The elemental composition was analyzed by the ICP-MS and ICP-AES methods. Beans (Fabaceae) variety “Amber” were used as a test culture. The plutonium transfer factor obtained in the vegetation experiments are in the range of of 5.3×10–4–1.5×10–2, with an average value of 5.4×10–3 for the aboveground part of bean and range of 4.5×10–2–2.7×10–1, with an average of 1.6×10–1 for bean roots. It was determined that the distribution of plutonium, micro and macro elements in the vegetative organs of plants is not equally, the transfer factor of plutonium for the aboveground part of plants is lower than for the root part. It has been established that the accumulation of plutonium, micro- and macroelements, depending on soil moisture, is different for the organs of beans. The dependence of plutonium accumulation by plants on soil moisture is significantly higher than for other considered elements. A decrease in the coefficient of accumulation of plutonium in the aerial part of the beans is recorded with an increase in soil moisture up to two orders of magnitude. There is a trend towards a slight decrease in the accumulation coefficients of Fe, Mg, Mn, Cr, Mo, Ni, Co, Cu. For the root system of beans, a clear dependence of the accumulation of the considered elements on soil moisture is not observed.

Agricultural legacy shapes plant diversity patterns in mountain grasslands of Maramureș and Bukovina: A cross‐border perspective (Ukraine, Romania)

Abstract We investigated farming practices and grassland plant diversity patterns in the historical regions of Maramureș and Bukovina, located in the central Eastern Carpathians of Romania and Ukraine. We explored the influence of social and historical factors on recent grassland plant diversity, including changes and modifications in land use and grassland management practices. We used stratified random sampling to select 48 grassland parcels in eight villages on the Ukrainian‐Romanian borderlands. We identified the factors that affect the composition and diversity of grassland vascular plants and bryophytes at multiple spatial scales and compared the frequency and timing of historical and recent grassland management practices to distinguish between preserved and modified agricultural traditions. In most of the grassland parcels studied (83% in Romania and 78% in Ukraine), traditional land use persisted. Local plant species richness was primarily influenced by management practices, outweighing the impact of topography and soil factors. Regular mowing at appropriate intensity increased the richness of vascular plants, while grazing promoted the richness of bryophyte species. Modifications to farming systems, observed in all studied villages, were mainly due to declining population and livestock numbers. Although the timing of spring and autumn grazing in hay meadows still adhered to tradition, mowing schedules shifted earlier, especially for the first cut of two‐cut hay meadows. Traditional corralling, fertilization and hayseed application have become rare or discontinued in certain villages, while controlled burning has increased. Past use of mineral fertilizers in Ukrainian villages during the Soviet era influenced the recent diversity and composition of vascular plant species, favouring nutrient‐demanding species. Social factors and agricultural policies indirectly affect biodiversity in semi‐natural grasslands, leaving a tangible footprint even in the most remote areas of the Carpathian Mountains. We provide basic recommendations to preserve the remarkable biodiversity of the region. Read the free Plain Language Summary for this article on the Journal blog.

Parasitology ‒ As an Important Scientific Field of Medicine

Abstract Medical parasitology is the science that studies human parasites, diseases caused by them, and measures to combat these diseases. Medical parasitology is an important part of the science of parasitology (which includes zooparasitology and phytoparasitology) and studies the causes, transmission, pathogenesis, clinic, epidemiology, immunology and treatment of parasitic diseases in humans, as well as ways of prevention and control of these diseases. Traditionally, parasitic diseases include diseases caused by protozoa (protozoa), diseases caused by helminths (helminthoses) and diseases caused by arthropods. One of the most important tasks facing parasitology is the development and implementation of scientific-based measures against diseases caused by parasites in order to protect people's health, protect agricultural animals and plants from various diseases.

Empowerment of Oil Palm Plantation Farmer Groups through PENA (Pestisida Nabati) Socialization

Empowerment of Oil Palm Plantation Farmer Groups through PENA (Pestisida Nabati) Socialization

Silica/carbon dot nanosorbent for the detection and removal of Pb(II) and Co(II) ions from wastewater

In excess, cobalt and lead ions adversely affect both the environment and ecosystems, having negative impact on agricultural plants and feed cultures as well as fish, animal, and human health. In this study, a three-component sorbent based on carbon dots (CDs), hydroxypropyl methyl cellulose (HPMC), and silica (SiO2) was developed for the removal of cobalt(II) and lead(II) ions from aqueous media. CDs synthesized directly on the HPMC surface were condensed with SiO2 via the hydrolysis of tetraethyl siloxane. As a result, a recyclable porous CD/HPMC/SiO2 nanosorbent with high sorption capacity was synthesized. The CD/HPMC/SiO2 nanosorbent has an adsorption capacity of 258 ± 4 mg/g and 168 ± 6 mg/g for lead(II) and cobalt(II), respectively. The material also displayed adequate cyclability as Co2+ and Pb2+ ions were easily removed from the sorbent surface.

Anthropocentrism in Contemporary Chinese Dictionary: A Synergic Perspective of Critical Lexicographical Discourse Studies and Systemic Functional Linguistics

Abstract Critical Lexicographical Discourse Studies (CLDS) view the dictionary as a discourse and emphasize an ideological, ethico-political dimension to the lexicographical process. Combining CLDS with Systemic Functional Linguistics, this paper looks into how anthropocentrism is manifested linguistically in Contemporary Chinese Dictionary (Seventh Edition), the most influential authoritative general-purpose Chinese dictionary, by examining the transitivity and appraisal patterns in the definition texts concerning animals and plants. The analysis shows that animals and plants are seldom assigned agency in their own right and that the animals and plants are evaluated either positively or negatively according to whether they are useful to the human beings while their intrinsic value is ignored. In particular, animals are highlighted for their agricultural and medicinal use and plants for their medicinal and ornamental value. However, compared with its previous editions, the dictionary has shown an enhanced awareness of environmental protection by deleting the encyclopaedic information that describes the use of some rare animals’ meat, bones and fur. It is argued that, although modern general-purpose dictionaries are increasingly corpus-based and descriptive, their role in shaping social values and stances cannot be disregarded. Dictionary makers need to balance what words mean with what they can be said to mean or be allowed to mean (Moon, 2014). The study contributes to unmasking and denaturalizing the hidden ideology in colony texts such as the dictionary, enhances a critical use of dictionaries and helps develop the theory of critical lexicography and emerging ecolexicography.

Diversity and interactions of rhizobacteria determine multinutrient traits in tomato host plants under nitrogen and water disturbances

Abstract Coevolution within the plant holobiont extends the capacity of host plants for nutrient acquisition and stress resistance. However, the role of the rhizospheric microbiota in maintaining multinutrient utilization (i.e., multinutrient traits) in the host remains to be elucidated. Multinutrient cycling index (MNC), analogous to the widely used multifunctionality index, provides a straightforward and interpretable measure of the multinutrient traits in host plants. Using tomato as a model plant, we characterized MNC (based on multiple aboveground nutrient contents) in host plants under different nitrogen and water supply regimes and explored the associations between rhizospheric bacterial community assemblages and host-plant multinutrient profiles. Rhizosphere bacterial community diversity, quantitative abundance, predicted function, and key topological features of the co-occurrence network were more sensitive to water supply than to nitrogen supply. A core bacteriome comprising 61 genera, such as Candidatus Koribacter and Streptomyces, persisted across different habitats and served as a key predictor of host-plant nutrient uptake. The MNC index increased with greater diversity and higher core taxon abundance in the rhizobacterial community, while decreasing with higher average degree and graph density of rhizobacterial co-occurrence network. Multinutrient absorption by host plants was primarily regulated by community diversity and rhizobacterial network complexity under the interaction of nitrogen and water. The high biodiversity and complex species interactions of the rhizospheric bacteriome play crucial roles in host-plant performance. This study supports the development of rhizosphere microbiome engineering, facilitating effective manipulation of the microbiome for enhanced plant benefits, which supports sustainable agricultural practices and plant health.

Contamination profile and hazards of neonicotinoid insecticides in honey from apiaries in Beijing, China.

The residues of neonicotinoid insecticides in honey have raised global concern for their adverse effects on non-target organisms. However, information on the presence of neonicotinoids in raw honey in China is limited. Our study investigated the distribution profiles of neonicotinoids in raw honey samples collected from apiaries in plain and mountainous areas surrounding Beijing City. At least one of four neonicotinoids, imidacloprid, thiamethoxam, acetamiprid, or clothianidin, was found in 46.9% of samples. Neonicotinoids in multi-floral honey in plain areas exhibited higher concentrations and prevalence than in uni-floral honey collected from mountainous areas. These results indicated that neonicotinoid residues in honey were linked to the agricultural ecosystems influenced by geographies, particularly the intensity of agriculture and nectariferous plant types. The dietary risks to adult and children health from neonicotinoid exposure were deemed de minimis, while risks to honeybees at the maximum concentration level require much attention through refined, higher-tier assessments and possible mitigation measures for the use of these products.

Artificial Intelligence in Aspect of Deforestation and Plantation Sustainability: Bibliometric Approach

This study examines the application of Artificial Intelligence (AI) in addressing deforestation and promoting sustainability in plantations using a bibliometric approach. Deforestation, a critical global issue, results from agricultural expansion, plantation development, and land-use changes, leading to significant environmental degradation. AI has been proposed as a powerful tool to monitor and manage deforestation more effectively, offering solutions such as satellite imagery analysis and predictive models. Through a bibliometric analysis spanning the last decade (2013–2023), this study uses VOSviewer to visualize co-citation networks, identifying key research trends and clusters related to AI in deforestation and plantation sustainability. The findings reveal that research is concentrated in regions like Indonesia and Brazil, where AI technologies like machine learning are employed to predict deforestation and enhance resource management. Emerging research areas include the integration of AI with the Internet of Things (IoT) and blockchain for improved data management and sustainability practices. This analysis provides insights into the growing role of AI in mitigating deforestation and offers recommendations for future research, including addressing ethical challenges and regulatory frameworks to further enhance sustainable plantation management.