Conventional Land Research Articles

Energy, environmental, economic, and social assessment of photovoltaic potential on expressway slopes: A case in Fujian Province, China

Expressway slopes within the boundary of expressway construction land have the potential to be transformed from conventional land use to valuable utilization through the installation of photovoltaic (PV) systems. Considering the continuous increase in expressway mileage, the PV potential could be enormous; therefore, a method to quantify such potential is urgently needed. This study proposes a potential assessment method for expressway slope photovoltaics. First, the suitable locations of expressway slopes for installing PV systems are identified on the basis of publicly available digital maps, combined with the principles of PV site selection and geographic information systems. Then, the PVsyst model is used to simulate the power generation efficiency and power output of the PV systems and to evaluate their PV potential, contribution, and economic benefits. The implementation of the proposed method in Fujian Province, China, indicates that the installed capacity of PV systems could reach 16.3 GW, with an annual power output of 17,940 GWh, contributing to the peak shaving of power grids and regional energy supply. The reductions in CO2, SOx, and NOx emissions are 16.65 Mt, 8970 t, and 3947 t per year, respectively. Considering carbon trading, the payback period is shortened to 11.7 years, with the return on investment of 65.38 % and the net present value of 52.6 billion RMB over a 25-year operational period. Additionally, this project could create 19.88 % of jobs in the energy sector in Fujian Province, providing 27,861 jobs during the construction phase and 18,248 jobs during the operation and maintenance phase. Thus, this project is economically viable and generates positive energy, environmental, and social benefits, contributing to the promotion of local energy transition and sustainable development.

Land Cover Mapping in East China for Enhancing High-Resolution Weather Simulation Models

This study was designed to develop a 30 m resolution land cover dataset to improve the performance of regional weather forecasting models in East China. A 10-class land cover mapping scheme was established, reflecting East China’s diverse landscape characteristics and incorporating a new category for plastic greenhouses. Plastic greenhouses are key to understanding surface heterogeneity in agricultural regions, as they can significantly impact local climate conditions, such as heat flux and evapotranspiration, yet they are often not represented in conventional land cover classifications. This is mainly due to the lack of high-resolution datasets capable of detecting these small yet impactful features. For the six-province study area, we selected and processed Landsat 8 imagery from 2015–2018, filtering for cloud cover. Complementary datasets, such as digital elevation models (DEM) and nighttime lighting data, were integrated to enrich the inputs for the Random Forest classification. A comprehensive training dataset was compiled to support Random Forest training and classification accuracy. We developed an automated workflow to manage the data processing, including satellite image selection, preprocessing, classification, and image mosaicking, thereby ensuring the system’s practicality and facilitating future updates. We included three Weather Research and Forecasting (WRF) model experiments in this study to highlight the impact of our land cover maps on daytime and nighttime temperature predictions. The resulting regional land cover dataset achieved an overall accuracy of 83.2% and a Kappa coefficient of 0.81. These accuracy statistics are higher than existing national and global datasets. The model results suggest that the newly developed land cover, combined with a mosaic option in the Unified Noah scheme in WRF, provided the best overall performance for both daytime and nighttime temperature predictions. In addition to supporting the WRF model, our land cover map products, with a planned 3–5-year update schedule, could serve as a valuable data source for ecological assessments in the East China region, informing environmental policy and promoting sustainability.

PENDAMPINGAN PEMBUATAN PUPUK DAN PESTISIDA ORGANIK GUNA MENDUKUNG USAHA BUDIDAYA STROBERI PADA KELOMPOK TANI SIDA URIP DESA SERANG KEC. KARANGREJA PURBALINGGA

Strawberries have various benefits for human health so they are widely loved by the public. Serang Village, Karangreja District, Purbalingga. This village is located on the slopes of Mount Slamet with an altitude of about 650 - 1,600 m dp is one of the centers of strawberry cultivation in Central Java, but since 2016 it has experienced a decline in production due to poor quality seeds, high fertilizer prices, declining soil fertility and the existence of pests and plant diseases. The purpose of this research-based community service activity is to implement the results of the research to solve the problems that exist in the Sida Urip farmer group, provide training in making organic fertilizers and pesticides, assist in the practice of making organic fertilizers and pesticides, improve skills in maintaining strawberry plants, so that it can increase strawberry production The method used in this activity is Rural Appraisal Participation, which is the active involvement of all elements of the target audience, the stages of the activity include: Survey, socialization of activities, training, practice, demonstration plot making and evaluation. The results of the activity showed that there was an increase in the knowledge and skills of farmer groups in making compost and biological agents to support environmentally friendly strawberry cultivation. The eco-friendly strawberry demonstration plot produces 38.69 kg/bed of strawberries and conventional strawberry cultivation land produces 37.45 kg/bed. The assistance carried out by the service team also increased enthusiasm and cohesiveness among members of the Sida Urip farmer group.

Topological polymeric glucosyl nanoaggregates in scaffold enable high-density piscine muscle tissue

Upon the pressure of conventional land agriculture and marine environment facing the future of human beings, the emerging of alternative proteins represented by cultured meat is expected with a breakthrough of efficient, safe and sustainable production. However, the cell proliferation efficiency and final myofiber density in current animal-derived scaffolds are still limited. Here, we incorporated five plant-derived edible polymeric glucosyl nanoparticles (GNPs) into gelatin/alginate hydrogels to spontaneously form nanoaggregates where nanotopographies were observed inside. The nanoscale topological morphology significantly enhances the adhesion and proliferation efficiencies of piscine satellite cells (PSCs) in the tailored extracellular matrix of as-prepared scaffold. Physically, the presence of GNP-induced nanoaggregate increases the interaction between ITG-A1 (membrane protein of PSCs) and hydrogel microenvironment, which activates the focal adhesion-integrin-cytoskeleton mechanotransduction signaling to promote cell proliferation. With a controlled diameter of hydrogel filament, these inner topological GNP nanoaggregates can also improve the density, alignment and differentiation efficiency of PSCs. When cultured in vitro for 15 days, the cell density, size and orientation of muscle fibers in the GNP-stimulated cultured fish fillet are very similar to the total cell mass in native fish muscle tissue.

Recent developments and inventive approaches in vertical farming

“Biomimicry” is an acronym used to describe how people looked at nature for inspiration to tackle a variety of problems. The modern problems of fast-increasing urbanization, land degradation, climate change, pandemics, loss of biodiversity, and widespread use of pesticides and fertilizers seriously threaten our food supply chain. There is a growing consumer demand for nutrient-dense, flavourful plant-based cuisine with minimal environmental impact. Moreover, a considerable portion of food roughly 24% is lost before it reaches consumers, partly as a result of poor quality and protracted supply chains. Researching new methods of producing food is essential since, by 2050, there will be more than 9.7 billion people on the planet, 70% of whom will reside in cities. Vertical farming (VF), which relieves pressure on conventional agricultural land by using vertical space instead of horizontal expansion, is growing in popularity as a solution to these problems. Because VF incorporates soil-less growth techniques, it is well-suited for urban environments. This strategy may help to produce more premium products, such as fruits, vegetables, flowers, and herbs. It may also help to produce cosmetics and medications made from plants. Vertical farming, is becoming more favoured as an alternative to traditional agriculture, and provides avenues for enhancing sustainable food production given the growing challenges of climate change and population growth.

Blockchain and ML in land registries a transformative alliance

This study presents a novel method for merging blockchain security and machine learning (ML) valuation to update land register systems. The system offers a safe, open, and effective framework for documenting and managing land ownership, addressing issues with conventional land registry procedures. Blockchain technology creates a tamper-proof record by cryptographically combining transactions and time-stamped entries to provide an immutable and decentralized ledger. In addition to building a solid foundation for the land registry system, this strengthens trust. Simultaneously, ML algorithms examine variables such as amenities and location to remove inflated pricing, providing accurate assessments and encouraging openness in the real estate sector. The system has been put into practice and verified in small-scale applications. Its features include enhanced data security, expedited ownership transfers, and accurate asset appraisals. Collaboration between governments, regulatory agencies, and technology suppliers is necessary for widespread deployment. Land registration procedures will change as a result of the revolutionary partnership between blockchain and ML technology, which offers a more effective, safe, and future-ready environment. Accepting this ground-breaking technique establishes a new benchmark for the updating of land ownership data and is a major step toward a more sophisticated and dependable method in the industry.

Effects of several long-term soil health treatments on populations of Pratylenchus penetrans and the soil microbial community

Soil suppressiveness can reduce the damage by plant parasitic nematodes (PPN) in agricultural soils and is conveyed by the activity of soil microorganisms. While natural suppressiveness has been reported, it is still poorly understood if soil suppressiveness can be elicited by manipulating the soil microbial community. In the present study we assessed the number of the Pratylenchus penetrans (Pp) and the bacterial and fungal community composition over 7 years in a long-term soil health experiment. The field experiment consisted of an organic and conventional agricultural land management system and three soil health treatments (SHT): an untreated control (CT), anaerobic disinfestation (AD) and a combination of marigold cover cropping, compost and chitin amendment (CB). The land management systems were kept continuously, while the soil health treatments were applied only twice in seven years. The microbial community significantly differed between the organic and conventional system, but there was no significant difference in Pp numbers between the two systems. However, both the CB treatment and to a lesser extent the AD treatment reduced Pp numbers and increased yield with the effect being the strongest in the years immediately after the treatment. Accordingly, both the bacterial and fungal community differed significantly between the treatments, the differences being largest in the years after the treatments. Notably, the CB treatment elicited both long-term changes in the microbial community and a reduction of Pp numbers lasting for at least three years. These results indicated that a combination of treatments can lead to an altered soil microbial community in combination with persisting suppressiveness of Pp.

Assessment of Spatiotemporal Distribution of Herbicides in European Agricultural Land Using Agri-Environmental Indices

Short-term estimates are not suitable for monitoring and comparing fluctuating pesticide use in EU agricultural land. A discriminative and comparable (HI) herbicide index was evaluated to elucidate herbicide use in the 21st century. The HI was 0.66 kg of active substances per hectare of conventional agricultural land across the EU. However, the HI varied between the 27 EU Member States. The highest mean values of HI were observed in Belgium, the Netherlands, Cyprus, Germany, France, and Denmark, with the lowest in Romania, Greece, Bulgaria, and Latvia. The results showed that the distribution of the HI variable was independent of the geographical location of each country, such as from North to South or from West to East in the EU. It seems that country-level agri-environmental parameters ultimately influenced the herbicide use. To assess the causes of this variability, 31 agri-environmental parameters (formatted into indices to be comparable) were investigated, emphasizing the structural characteristics of the agricultural sector in each EU Member State. Using only the significant independent variables (13 out of 31), linear discriminant analysis (LDA) was applied to explore the differentiation potential of EU27 by creating a discrimination model. The assessment of each one variable in the HI could contribute to the reduction in environmental impacts and the faultless implementation of the European agricultural policy in the near future.

Impediments to urban land development and transformation in Tanzania: evaluating conventional approaches and proposing innovative solutions

Urban land development involves converting rural land into urban land suitable for various purposes such as residential, commercial, industrial, mixed-use development, and infrastructure services. The urban land development in Tanzanian cities faces numerous challenges rooted in colonial-era practices and the coexistence of customary and formal land ownership systems. This study thoroughly examines the limitations of conventional land development approaches and their impacts on spatial planning. This study compares traditional land acquisition and development with innovative, self-financing, cost-effective strategies. The study deployed a mixed methodology comprising questionnaire surveys and interviews to address specific objectives for improving urban land development practices. The findings highlight the potential of innovative strategies in catalysing urban development and spatial planning, offering a promising path forward. It emphasises the need to integrate diverse approaches to address infrastructure challenges, enhance spatial planning, and protect the interests of affected communities, thereby fostering a more sustainable and equitable urban landscape.

Comprehensive evaluation and application of woody plants in the green spaces of parks in saline-Alkaline areas from a low-carbon perspective: A case study of Tianjin Qiaoyuan Park.

The field of landscape architecture has placed significant emphasis on low-carbon landscapes due to the increasing challenges posed by global warming and environmental deterioration in recent years. The soil ecological conditions in saline-alkaline areas are characterized by poor quality, resulting in suboptimal growth conditions for trees. This, in turn, hampers their ability to effectively sequester carbon, thereby diminishing the potential benefits of carbon sinks. Additionally, the maintenance of tree landscapes in such areas generates more carbon emissions than does conventional green land, making it difficult to reap the benefits of tree-based carbon. A comprehensive evaluation of trees in green park spaces in saline-alkaline areas is conducted from a low-carbon perspective; by identifying the dominant tree species that are well suited to greening, we can offer a precise scientific foundation for implementing low-carbon greening initiatives in cities situated in saline-alkaline environments. Therefore, as a case study, this study investigates Tianjin Qiaoyuan Park, a typical saline park in the Bohai Bay region. The hierarchical analysis method (AHP) was used to evaluate 50 species of trees and shrubs in the park from a low-carbon perspective. The results show that the evaluation system consists of four criterion layers and 15 indicator factors. The relative weight of the criterion layer followed the order of habitat adaptability (B2) > carbon sequestration capacity (B1) > low-carbon management and conservation (B3) > landscape aesthetics (B4). The indicator layer assigned greater weight values to net assimilation (C1), saline and alkaline adaptability (C3), drought tolerance (C4), irr igation and fertilization needs (C8), growth rate (C2), and adaptability to barrenness (C5). The trees were classified into five distinct categories, with each exhibiting significant variation in terms of the strengths and weaknesses of the indicators. According to the comprehensive score, the trees were categorized into three levels. The Grade I plants exhibited the best carbon efficiency performance, comprising a total of 12 species (e.g. Sabina chinensis, Fraxinus chinensis 'Aurea' and Hibiscus syriacu), and demonstrated superior performance in all aspects. Grade II trees, consisting of 26 species (e.g Pinus tabuliformis, Paulownia fortunei, Ligustrum × vicaryi), had the second-highest comprehensive score. Moreover, Grade III trees, encompassing 12 species (e.g Acer mono, Cedrus deodara, Magnolia denudata), exhibited lower comprehensive scores. The extensive use of Grade I and II tree species is recommended in the implementation of low-carbon greening projects in the Bohai Bay region, while Grade III tree species should be judiciously utilized. The findings of this research can serve as a valuable resource for the scientific identification of tree species that are suitable for urban park green spaces in the Bohai Bay region, which is characterized by predominantly saline and alkaline soil. Additionally, the development of an evaluation system can guide the selection of low-carbon tree species when evaluating other types of saline and alkaline lands.

Conventional agricultural management negatively affects soil fauna abundance, soil physicochemical quality and multifunctionality

Agricultural intensification is one of the major drivers of biodiversity decline and the losses of its functions in the soil. For soil health and sustainability planning, it is important to understand the effects associated with agricultural management on soil function and biodiversity. This study explored soil fauna, physicochemical properties, soil quality and multifunctionality and how they are affected by agroecosystem management in four different land uses i.e., conventional agriculture, livestock-integrated agriculture, conservation agriculture and natural grassland. The conventional land use favoured some nutrients, however soil of both the integrated and conservation land uses had physical and chemical properties indicative of good soil quality e.g. low compaction, low C:N ratio and stable aggregates. Soil fauna abundance was more responsive to land use and the soil environment compared to species diversity which did not show significant responses as expected. Tillage is known to negatively influence soil fauna, soil functions and physicochemical properties through intense soil structure disruption. Here, its detrimental effect is reflected by the lowest record of soil fauna, poor soil physicochemical quality and low multifunctionality observed within the conventional landuses managed under deep tillage, compared to other land uses which are under zero tillage. Overall, the study shows that the implementation of sustainable soil management practices which improves the physical and chemical status will not only be beneficial for productivity but also for the promotion of important soil fauna, better soil quality and ecosystem multifunctionality.

Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0)

Abstract. Understanding carbon exchange processes between land reservoirs and the atmosphere is essential for predicting carbon–climate feedbacks. Still, considerable uncertainty remains in the representation of the terrestrial carbon cycle in Earth system models. An emerging strategy to constrain these uncertainties is to include the role of different microbial groups explicitly. Following this approach, we extend the framework of the MIcrobial-MIneral Carbon Stabilization (MIMICS) model with additional mycorrhizal groups and a nitrogen cycle that includes a novel representation of inorganic nitrogen sorption to particles via a Langmuir isotherm. MIMICS+ v1.0 is designed to capture and quantify relationships between soil microorganisms and their environment, with a particular emphasis on boreal ecosystems. We evaluated MIMICS+ against podzolic soil profiles in Norwegian forests as well as the conventional Community Land Model (CLM). MIMICS+ matched observed carbon stocks better than CLM and gave a broader range of C:N ratios, more in line with observations. This is mainly explained by a higher directly plant-derived fraction into the soil organic matter (SOM) pools. The model produces microbial biomass estimates in line with numbers reported in the literature. MIMICS+ also showed better representation of climate gradients than CLM, especially in terms of temperature. To investigate responses to changes in nutrient availability, we performed an N enrichment experiment and found that nitrogen sorbed to particles through the sorption algorithm served as a long-term storage of nutrients for the microbes. Furthermore, although the microbial groups responded considerably to the nitrogen enrichment, we only saw minor responses for carbon storage and respiration. Together, our results present MIMICS+ as an attractive tool for further investigations of interactions between microbial functioning and their (changing) environment.

Strengthening Indian Land Governance: Enhancing Transparency through DPoS Blockchain Registry

Abstract: In India, where conventional Land Registry systems encounter challenges, Land Registry documents are crucial legal evidence of land ownership. Addressing these issues requires innovative solutions, and Blockchain technology offers a key solution.

The Urgency Establishing a Sharia Land Bank To Accelerate Agrarian Reform

Researchers believe that the existence of a Sharia Land Bank in Indonesia which is based on the concepts of al-ilah and al-musawah can accelerate agrarian reform in Indonesia. To ensure this, the researcher presented this research using standard methodological articles in scientific research that are commonly used. This research is a qualitative research with a descriptive approach related to the Land Bank, Agrarian Reform, and the experience of the concepts of al-ilah and al-musawah in the Sharia Land Bank which was initiated by the researcher. The data used in this research is secondary data that researchers obtained from scientific articles, books, statutory regulations, news from credible websites, and other sources that are usually used in every research and are certainly related to Land Banks, Agrarian Reform, and values in Islamic law such as Al-Adalah and Al-Musawah. The data that the researcher managed to obtain was analyzed using the stages of data collection, data selection, data reduction, data presentation, and drawing conclusions. The result in this article show first, The Land Bank functions to collect land, manage land, manage land and provide land to overcome inequality in land ownership and accelerate agrarian reform. The existence of a Land Bank which has an unclear concept and researchers believe could make the Land Bank a weakness in its implementation. Second, The presence of the Sharia Land Bank concept which is a refinement of the Conventional Land Bank concept by upholding the values of al-adadlah (justice) and al-musawah (equality) can be a guide for Land Bank employees, Land Bank Officials and Government officials others in implementing the concepts offered by not distinguishing between one group and another, being honest, and so on which can accelerate agrarian reform.

The Application Of Parachute Goods As An Alternative Logistics Distribution To Help Victims Of Natural Disasters In Isolated Areas

Facing the complexity of logistics distribution related to natural disasters in Indonesia, a geographically vulnerable country to various types of disasters, especially in isolated areas, requires an efficient and effective solution. One solution being explored is the implementation of cargo parachutes as an alternative logistics distribution to enhance the resilience of communities in those areas. This research aims to provide an in-depth understanding of the potential and challenges of using cargo parachutes in the context of logistics distribution in Indonesia. Through a literature review conducted using the Systematic Literature Review (SLR) method, this study explores information regarding the advantages, challenges, and practical implications of implementing cargo parachutes. It was found that the use of cargo parachutes offers a quick and responsive solution in distributing logistics aid in isolated areas, often difficult to reach by conventional land transportation. The main advantage of implementing cargo parachutes is their ability to provide faster response times in logistics distribution. In the context of natural disasters, speed is crucial to ensure that aid arrives promptly where it is needed. Cargo parachutes can also improve the accessibility of aid, especially in isolated areas that may be challenging to reach conventionally. However, this study also identifies several challenges that need to be addressed. Landing accuracy is a critical issue, especially with weather variability, wind direction, and the topography of the area. Additionally, safety aspects, operational costs, and coordination among various stakeholders are challenges that must be overcome to ensure the success of cargo parachute implementation. Practical recommendations emerging from this research involve the use of monitoring technology, training for personnel involved in logistics distribution using cargo parachutes, and the development of clear Emergency Standard Operating Procedures (SOP). Monitoring technology, such as GPS, can help improve landing accuracy, while personnel training and emergency SOPs can enhance operational effectiveness and safety.

IMPLEMENTATION OF INTEGRATED PEST CONTROL THROUGH REFUGIA PLANTS IN RICE PLANTS (Oryza sativa L.)

The use of natural enemies to control pests is a natural way that is safe for humans and the environment. One way this can be done is by conservation of natural enemies. Conservation is generally carried out through habitat management, namely by planting flowering plants that function as a source of feed, hosts (alternative prey, refuge) for natural enemies of pests. Refugia is a cultivated plant and has the potential to support natural enemy habitats ((both predators and parasites). The research method is experimental, namely comparing land that uses refugia plants and land that does not use refugia plants (conventional). This research was carried out on rice cultivation owned by farmers in Kangenan Village, Pademawu District, Pamekasan Regency. The study lasted for approximately 3 (three) months starting from April -June 2023. Data analysis using t-test by comparing the number of pests on land planted with reugia and conventional land.The results showed that the average number of locust pests on refugia land was 1.542857 and on conventional land 2.057143, the average number of walang sangit pests was 1.25714286 and conventional land was 2.05714286, the average number of caterpillar pests was 1.228571 and on conventional land was 1.885714.While the number of natural enemies of dragonflies on refugia land was 2.69 and on conventional land was 2.49. Based on the results of T tests on refugia and conventional land, locust pest Tstar 3.378975544 was obtained greater than Tcritical one1 1.782287548 , Tstar caterpillar pest 3.189526128 greater than Tcritical one 1.782287548, Tstar pest walang sangit 2.172198564 greater than Tcritical one 1.782287548 means that refugia plants can affect pests on rice plants because of the presence of refugia plants on the edge of the field as a temporary shelter for natural enemies.

Composition of Arthropods in Conventional and Surjan Systems in the Special Region of Yogyakarta

Arthropods are the most abundant phylum found in plant ecosystems. The surjan planting system is sustainable agroecosystem engineering. The surjan system is one of the local cultural wisdom for dealing with pest and plant disease problems. In contrast to conventional systems, the majority of cultivation processes apply a monoculture farming system with massive use of pesticides and fertilizers. The research aims to determine the composition of arthropods from the application of surjan and conventional systems. The research was conducted in the Special Region of Yogyakarta in August 2022. The tools and materials used consisted of an inverter microscope, yellow trap, pitfall trap, pheromone trap, 70% alcohol, Taxofone, insect needles, vials and methyl eugenol. Each type of trap was repeated four times and designed diagonally. The collected arthropods were then observed using an inverter microscope. The identification results of Bactrocera sp and Atherigona sp are the dominant species found in the Bantul and Kulonprogo districts. The composition of arthropods in conventional land (Bantul Regency) is greater than in the surjan system (Kulonprogo Regency) based on population natural enemies. In contrast to the status of natural enemies, the surjan system has more natural enemies than conventional systems.

Beyond informality: ‘Nimble peri-urban land transactions’ - how migrants on the margins trade, access and hold land for settlement

How do migrants on the margins trade, access, and hold land for settlement? This ethnographic inquiry based on a case study of Malawian migrants in peri-urban Zimbabwe revealed the practice of ‘Nimble peri-urban land transactions’—encompassing not only the extralegal and informal aspects of land transactions but also emphasising flexibility, agility, conviviality and invisibility in land acquisition. What sets ‘Nimble peri-urban land transactions’ apart from the characterisation of conventional informal land transactions is the profound role played by ‘conviviality’ in creating a congenial atmosphere for acquiring and securing land rights. Individuals in convivial connections act as essential intermediaries, witnesses, and mediators in land deals. Their contributions are instrumental in maintaining spatial orderliness within the community, demonstrating that informal land transactions are not always chaotic or disorderly as perceived but can adhere to a well-structured set of ‘nimble’ norms and mechanisms that regulate land access and ownership. Nimble peri-urban land transactions not only provide a lifeline to individuals and families seeking a place to call home but also contribute to the overall urbanisation and development of peri-urban areas. Thus, the study challenges prevailing notions of land governance by emphasising the importance of recognising and comprehending not only the ‘informality’ but also the ‘nimble transactions’ that characterise land markets in peri-urban areas. It calls for a more holistic approach to land governance, acknowledging that rigid formalities alone may not adequately address the unique needs and realities of marginalised populations in these contexts.

Оценка целесообразности применения мотоблоков и мини-тракторов для механизации работ в лесных питомниках Российской Федерации

At the moment, a significant part of the equipment operated in permanent forest nurseries is worn out by 70-80%. At the same time, the existing equipment has excessive productivity, which in conditions of small forest nurseries leads to excessive operating costs. The area of sowing departments and fallow fields in modern nurse-ries rarely exceeds 3 hectares, which makes it possible to accept small farms as the closest analogy in terms of the volume of agrotechnical work. Based on the cluster analysis of the nomenclature of existing machines and tools of various types, the options for re-equipping forest nurseries with small-sized mobile energy means (SMEM) and small-scale mechanization means (SMM) in modern geopolitical conditions were evaluated. Firstly, the information on ploughshares, disc harrows, spreaders of solid fertilizers, sprayers, precision seeders and cul-tivators for aggregation with tillers and mini-tractors available for purchase was analyzed. Secondly, the neces-sary level of power-to-weight ratio of the heavy vehicle has been determined to perform the entire list of mecha-nized work on growing planting material in a forest nursery. Thirdly, the economic feasibility of using tillers and mini-tractors to perform work in forest nurseries by calculating "hourly operating costs" was evaluated. The re-duction of the range of SMEM and SMM models offered on the market of the Russian Federation is not a limiting factor. There are enough machines and tools of Russian, Belarusian and Chinese production to ensure mecha-nized work in a forest nursery. The most effective are SMEM with an engine power of 30 kW and a load capacity of 700 kg rear suspension. SMEM is economically feasible to use with an annual volume of work equivalent to 60 hectares of conventional arable land, or less. With large volumes, the use of more productive tools with a trac-tor of traction class 1.4 is economically justified.

Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques

Remote sensing land cover classification plays a crucial role in detecting changes, urbanization planning, mapping and monitoring land cover on earth surface. It is very challenging to get accurate result in remote sensing data because different classifiers are very much area dependent. Different classifiers such as decision tree (DT), K-nearest neighbor (KNN), artificial neural network (ANN), support vector machine (SVM), boosted decision tree (BDT), random forest (RF), classification and regression tree (CART) and maximum likelihood classifiers (MLC), have different accuracies for the same classes. Several studies have utilized remote sensing and GIS tools to investigate changes in land use and land cover (LULC) using different classifiers. Seasonal rivers which should be classified as water bodies are mostly classified as urban area with the conventional land cover classification schemes because spectral reflectance of these river bodies is similar to urban area due to stones present in their river bed. It is very difficult to distinguish between these river beds (which are mostly found in various districts of Uttarakhand, India) and urban area in remote sensing images. In this paper, we present a new method to distinguish these river beds with the urban area and to separate other classes easily. First of all different spectral indices such as NDVI, NDBI, EVI and MNDWI are extracted from a high resolution Sentinel-2 MSI image then these indices are integrated with Sentinel-2 MSI image for classification of different land cover classes by using four different machine learning classifiers such as RF, SVM, DT and CART. The obtained results confirm the performance strength of the suggested method as there is much improvement in accuracy.