Agricultural Techniques Research Articles

Use-wear evidence for the use of threshing sledges in Neolithic Greece

Threshing sledge or tribulum represents an important innovation in agricultural techniques. It allows processing huge amounts of cereals and it has often associated to an increased agricultural production. Their use is attested during the Late Neolithic/Chalcolithic and Early Bronze Age both in south-western Asia and Europe. In the Mediterranean area, their use lasted until few decades ago. Recently, as part of project focused on the analysis of the early agricultural tools of Neolithic Greece, a few elements bearing macro- and microscopic use-wear traces visually similar to ethnographic and archaeological threshing sledges have been identified from a number of Early and Middle Neolithic sites (i.e., Achilleion, Platia Magoula Zarkou, Revenia Korinos, Paliambela Kolindros). In this paper, we present the result of their study, including technological and traceological analysis. To provide a stronger assessment of the nature of the observed use-wear traces a quantitative comparison with ethnographic and experimental use-wear traces is carried out by integrating confocal microscopy. Despite the low number of recorded artefacts, obtained results suggest that threshing sledges were in use since the early phases of the Neolithic in Greece.

Single Stage Autonomous Solar Water Pumping System Using PMSM Drive

Water supply technology has advanced significantly with the development of autonomous solar water pumping devices. These solar-powered systems offer a dependable and sustainable way to pump water in remote and off-grid areas. They are the perfect solution for solving problems with water delivery in places with restricted access to power because of their capacity to function independently and without the requirement for grid electricity. Autonomous solar water pumping systems present a viable and creative approach to a sustainable water supply at a time when demand for renewable energy solutions is only expected to increase. Sustainable and effective agricultural techniques have advanced significantly with the introduction of autonomous solar water pumping equipment. These solar-powered devices provide an economical and environmentally responsible way to address the problems of declining water supplies and growing energy expenses. Adoption of autonomous solar water pumping devices will be essential to maintaining the productivity and long-term sustainability of our world's food supply as the agricultural sector develops.

Indigenous Knowledge and Agricultural Practices of Ifugao Ethno-Farming in Ifugao Village, Diffun, Quirino

This study endeavors to delve into the traditional knowledge and farming methods employed by Ifugao farmers residing in Barangay Ifugao Village, Diffun, Quirino. Despite the proven efficacy of Indigenous farming practices, they confront formidable challenges including climate change, biodiversity loss, and the erosion of Indigenous knowledge. The research aims to meticulously document and safeguard the wealth of knowledge and practices upheld by Ifugao farmers, recognizing their pivotal role in fostering environmental sustainability and cultural enrichment. Utilizing an ethnographic approach, this study endeavors to unravel the intricate interplay between farming techniques, traditional wisdom, and the multifaceted challenges posed by modernization. By employing key informant interviews conducted in the Ilocano dialect, the project seeks to elucidate how Ifugao farmers adapt their agricultural practices in response to evolving environmental and socioeconomic dynamics. Through purposive sampling, experienced Ifugao farmers are selected as key informants, ensuring a comprehensive examination of the methods, beliefs, practices, strategies, and knowledge that have underpinned Ifugao ethno-farming traditions. The study, spanning one month and focusing on seasoned Ifugao practitioners, guarantees a thorough exploration of the adaptive measures and customs intrinsic to Ifugao’s agricultural heritage. Reflexive thematic analysis serves as the analytical framework for interpreting the gathered data, with anticipated results offering valuable insights into the resilient techniques employed by Ifugao farmers to preserve their cultural heritage and navigate contemporary challenges. These findings underscore the imperative for collaborative endeavors aimed at safeguarding, documenting, and integrating Indigenous knowledge into agricultural practices, thereby fostering resilience and sustainability for present and future generations. Keywords: Ifugao, Ethno-farming, Indigenous Knowledge, Sustainability, Preservation, Agricultural Practices, Beliefs, Changes perceived, Adaptive Strategies

FRUIT DISEASE DETECTION USING COLOR AND TEXTURE ANALYSIS BY CNN

Now-a-days as there is prohibitive demand for agricultural industry, effective growth and improved yield of fruit is necessary and important. For this purpose farmers need manual monitoring of fruits from harvest till its progress period. But manual monitoring will not give satisfactory result all the times and they always need satisfactory advice from expert. So it requires proposing an efficient smart farming technique which will help for better yield and growth with less human efforts. We introduce a technique which will diagnose and classify external disease within fruits. Whereas system that we have come up with, uses image processing techniques for implementation as image is easy way for conveying. In the proposed work, OpenCV library is applied for implementation, the images are catalogue and mapped to their respective disease categories on basis of four feature vectors colour, morphology, texture and structure of hole on the fruit. Convolutional Neural Network (CNN) concept is used for pattern matching and classification of diseases.. Keywords: CNN Algorithm ,OpenCV ,Image processing techniques

Micronutrient Deficiency in Indian Diet

Micronutrient deficiency in the Indian diet poses a significant health challenge, impacting millions across the nation. The inadequate intake of essential vitamins and minerals, such as iron, zinc, vitamin A, and iodine, can lead to severe health issues, including anaemia, impaired cognitive development, and compromised immune function. One crucial factor contributing to micronutrient deficiency is soil pollution, which directly affects the nutritional content of vegetables and fruits. Soil pollution results from the presence of contaminants like heavy metals, pesticides, and industrial waste, negatively impacting soil health and composition. As plants absorb nutrients from the soil, polluted soil leads to diminished nutrient uptake by crops, exacerbating the micronutrient deficiency in the food chain. The contamination of soil with heavy metals, such as lead and cadmium, can inhibit the absorption of essential minerals by plant roots. Consequently, vegetables and fruits grown in polluted soil may exhibit lower concentrations of vital micronutrients, even if individuals consume the same quantity of produce. This compromised nutritional quality directly contributes to the prevalence of micronutrient deficiencies in the Indian population. Addressing this issue necessitates a multi-faceted approach. Implementing sustainable agricultural practices, such as organic farming and soil remediation techniques, can help reduce soil pollution and enhance soil fertility. Additionally, promoting awareness about the importance of diversified diets and dietary supplements can empower communities to combat micronutrient deficiencies. Government initiatives, research collaborations, and public-private partnerships are essential to developing and implementing strategies that tackle both soil pollution and micronutrient deficiency in the Indian context, fostering a healthier and more resilient population. Keywords: Nutrients, Micronutrients, Indian diet, Vitamins, Supplements.

Sustainable Cultivation of Millets

Millets, once considered as neglected crops, have gained significant attention due to their nutritional value, climate resilience, and suitability for sustainable agriculture. This review paper synthesizes current research on sustainable cultivation practices for millets, focusing on key aspects such as soil health, water management, pest and disease control, and socio-economic implications. It explores innovative approaches such as intercropping, organic farming techniques, and precision agriculture methods to enhance millet yields while minimizing environmental impact. Furthermore, the paper discusses the role of millets in enhancing food security, promoting biodiversity, and mitigating climate change. By critically evaluating existing literature, this review aims to provide insights for policymakers, researchers, and farmers to promote the adoption of sustainable millet cultivation practices, thereby contributing to global food security and environmental sustainability.

Seed Production in Jalandhar

A key factor in agricultural resilience, crop diversity, and productivity is seed production—particularly in areas like Jalandhar that must meet changing market demands and climate change. This project explores the complexities of seed production in Jalandhar and how it affects agricultural development with the goal of educating researchers, policymakers, and agricultural stakeholders on how to support sustainable seed production systems. Located in the rich plains of Punjab, Jalandhar has become a major centre for the production of seeds, especially for pulses, wheat, and rice. The region's favorable soil and climate, together with cutting-edge farming techniques, are what propel the expansion of the seed business. With the growing use of hybrid and genetically modified seeds, government programs encouraging agricultural output, and growing farmer awareness of the advantages of high-quality seeds, Jalandhar has a huge market potential for seed production. Nevertheless, in order to fully realize the potential of this industry, stakeholders must work together and implement strategic interventions in response to issues including volatile market pricing, restricted financial availability for small-scale farmers, and environmental sustainability concerns. The sector's growth trajectory is further aided by the existence of well-established agricultural research institutions and government policies that are supportive of the industry, providing growing opportunities in both domestic and foreign markets High-quality seeds improve crop yields while also contributing to overall sustainability and profitability in farming operations. Agro-ecologically-suited certified seeds are essential for reducing the danger of pests, illnesses, and unfavorable weather. Encouraging and supporting sustainable seed production systems in Jalandhar benefits all related departments and financial institutions by promoting agricultural development, economic success, and food security. Keywords : Seed production ,Agricultural development ,Market potential ,Sustainable seed systems ,Government initiatives ,Economic prosperity.

Dark brooder pullets are less active than Non-brooder pullets, but show similar level of synchronisation at the resource areas

Maternal care in commercial chickens can partially be replaced with dark brooders that offer heat and a dark area to rest and possibly avoid negative social interactions. Previous research has established the positive effects of dark brooders on reducing disturbance during resting in young pullets and injurious pecking in pullets and laying hens, which could reduce overall activity levels. The objective of this study was to employ precision livestock farming techniques to compare the overall activity levels and behavioural synchrony at resources in pullets reared with dark brooders until 41 days of age and those reared with whole house heating. Four brooder treatments, varying in size (Small/Large) and deployment method (Raised/Fixed), which could have implications for commercial use, were employed. Activity of the whole pen floor area and behavioural synchrony in drinker and feeder areas were automatically assessed over a 12-hour photoperiod at 10 and 60 days of age. Pixel change detection gauged overall activity across the pen, while an object detection model evaluated pullet behavioural synchrony. The analysis revealed increased activity levels in non-Brooder pullets compared to those in most Brooder treatments at both 10 and 60 days of age. However, no significant differences in behavioural synchrony were observed between Brooder and non-Brooder pullets. The underlying mechanism of dark brooder’s effects on the activity levels and behaviour synchrony remains unclear, but the observed reduction in activity levels in brooded pullets likely corresponds to increased resting behaviour and reduced injurious pecking. Furthermore, it is noteworthy that only a small percentage of pullets (up to 57.14%) were observed to use the resources simultaneously. This underscores the importance of conducting additional research to delve into the effects of resource allocation on both behavioural synchrony and activity levels in pullets. We observed minimal differences in the behaviour of pullets raised under different brooder types, suggesting that the simplest (Small-Fixed) brooders may be suitable for commercial use.

Agricultural Thought and Humanism of Rabindranath

This article describes Rabindranath Tagore's profound insights on rural development and agricultural reform, highlighting his vision for uplifting village communities through modern science and technology. Tagore's humanistic perspective emphasized the pivotal role of agriculture in societal progress, advocating for the adoption of innovative farming techniques to alleviate rural poverty and empower farmers. Through his observations and initiatives, Rabindranath sought to transform the traditional farming landscape, promoting education, economic independence, and sustainable development in rural Bengal. is writings reflect a deep understanding of the challenges faced by rural communities and underscore the urgent need for holistic approaches to village revitalization.

Efficiency and sustainability: Evaluating and optimizing energy use and environmental impact in cucumber production

This study assesses the energy-economic-environmental aspects of cucumber production in the face of environmental issues and resource scarcity, which threaten global food security and demand sustainable agriculture solutions. Data were collected by questionnaire and analyzed for inputs from planting to harvesting. The results indicated that diesel fuel (37.41%) and nitrate fertilizer (37.22%) constitute the primary inputs. The energy ratio, energy efficiency and net energy gain were 0.43, 0.54 kgMJ−1 and -30,153.31 MJha−1, respectively. Input optimization by Data Envelopment Analysis (DEA) reduced the carbon footprint from 178.433 to 168.900 kg CO2 per ton, the abiotic depletion from 1228.291 to 964.305 MJ and the acidification from 0.838 to 0.749 kg SO2 eq. Also, the results of DEA showed that 52.5% and 35% of the units were fully efficient under Variable Return to Scale (VRS) and Constant Return to Scale (CRS) models, respectively, while the others were inefficient to varying degrees. The average of technical, pure technical and scale efficiencies were 92.88%, 97.64%, and 95.07%, respectively. The results of economic evaluation showed that production cost is 6058.84 $ha−1 with a benefit-cost ratio of 1.71. Based on the primary results, it is suggested to use precision agriculture techniques and the exploration of alternative energy sources, such as biofuel for machinery. Additionally, using slow-release fertilizers or organic substitutes can decrease nitrogen fertilizer dependency while maintaining crop yields and improve the sustainability in this production.

Transformation of Agriculture in Damoh District of Madhya Pradesh

India has been considered as a land of villages and from very beginning agriculture has been main means of livelihood of the residents of the country specially people living in rural areas. Agriculture plays a vital role in the nation's economy. About two third of the working population earn their living through agriculture and agriculture sector contributes about 26 per cent in the gross domestic production of the country. The present study examines the transformation of the various dimension of the agriculture in the Damoh district of Madhya Pradesh based on secondary data. With the growing pressure of population, demand for land for non-agricultural activities, implementations of rural development programmes and activities, the land use pattern, cropping pattern, irrigational facilities, farming techniques and other allied activities in the study area has transformed during the period 1990 to 2020. Damoh district is located in the Bundelkhand region of Madhya Pradesh and is part of Sagar division. Total geographical area of the district is 7306 sq.km. out of which 323386 hectares land is available for cultivation with 293599 hectares of irrigated land. The proportion of forest and fallow land has decreased in last two decades while the proportion of net shown area, other uncultivated land, land not available for agriculture and double cropped area has increased during the period. The cropping pattern of the study region, also transformed. The use of modern agricultural implements, fertilizers and pesticides too has increased during 1990-2020.

Degradation Rate/Vulnerability Potential and Fertility Status of Luvisols in the Mandara Mountains (Far-North Cameroon).

Soil degradation emerges as one of the major problems in the locality of Sir in the Mandara Mountains, Far-North Cameroon. Inappropriate agricultural techniques resulting in land use change affect soil functions and seriously harm forest ecosystems. This study was conducted to analyse the current character of soils and access their degradation and their level of fertility. Twenty soil samples were taken at 15 cm depth. This includes ten in the plot under forest reserve and ten others in the plot under cultivation. Cultivation is responsible for the increase in bulk density (BD) (1.59 to 2.23 g/cm3), Mg (4.76 to 6.40 cmol·kg-1), Ca (10.44 to 11.26 cmol·kg-1), P (7.93 to 9.93 g/kg), and Mg/K (2.28 to 5.84) and decrease in CEC (38 0.15 to 31.46 cmol·kg-1), OM (2.76 to 1.08%), OC (1.66 to 0.62%), total nitrogen (0.08 to 0.05%), K (4.59 to 1.15 cmol·kg-1), Na (1.32 to 0.91 cmol·kg-1), C/N (25.69 to 13.86), and Ca/Mg (2.32 to 1.89). This variability in physicochemical properties reflects progressive soil degradation. Cultivated soils are subject to severe degradation or potential vulnerability (SDR/Vp = 4/2) due to texture, organic carbon, soil aggregate stability, sealing index, and total nitrogen. On the other hand, soils under forest reserve are subject to severe degradation or vulnerability due to the total nitrogen and sodium absorption ratio. The soils of the study area are subject to severe and extreme potential degradation or vulnerability due to BD, respectively, under forest reserve and cultivation. Two classes of fertility were identified: class II (plots under forest reserve) having a good level of fertility, characterized by good physical properties and severe limitations in nitrogen and phosphorus and class IV (cultivated plots) with a low level of fertility due to severe limitations in organic matter, phosphorus, and poor physical characteristics. The best indicator of the good quality of the luvisols of Sir is the pH, while the bulk density is an indicator of severe to very extreme degradation or high to very high vulnerability. The application of organic and mineral amendments is essential for raising the organic matter and nitrogen and phosphorus contents in these soils.

Effectiveness of Agricultural Extension Programs on Crop Productivity in India

Purpose: The aim of the study was to analyze the effectiveness of agricultural extension programs on crop productivity in India. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Agricultural extension programs in India have significantly enhanced crop productivity by providing farmers with access to modern techniques and technologies. Studies indicate that these programs have effectively increased yields by facilitating better pest management, improved seed quality, and efficient water use. However, the effectiveness varies widely depending on the region and the specific crops involved, with some areas showing much greater improvement than others. Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, theory of planned behavior (TPB) & human capital theory may be used to anchor future studies on analyze effectiveness of agricultural extension programs on crop productivity in India. Practically, these recommendations aim to transform the implementation of agricultural extension programs by emphasizing the role of extension agents as both educators and facilitators of change, enhancing their training in both agricultural techniques and effective communication skills. Policies promoting the legal and financial backing for farmer cooperatives and requiring the incorporation of robust monitoring and evaluation frameworks in extension programs are crucial.

Use of pre-sowing soil microbiological analysis to predict the spread of sugar beet root rot

Aphanomyces cochlioides and Rhizoctonia solani are two of the main soil phytopathogens of sugar beet, which lead to substantial losses in yield and quality. Since disease control capabilities are complex and pathogen monitoring is important for predicting risks, it is of great importance in rural production to create available methods for preliminary field assessment. The purpose of the study was to introduce a predictive methodology for assessing the potential of soils for their suitability for growing sugar beet in the system of short-rotation crop rotations. As an indicator plant, sugar beet seeds were used, which are not characterised by genetic resistance against these diseases. The possibility of using the pre-growing disease index (PPDI), which has a gradation from 0 to 100 and covariance with the actual yield, sugar content and gross sugar yield per hectare, is tested. The pre-sowing PPDI value is compared with the actual yield from each specific field to really assess the possibility of using the PPDI index to characterise yield losses on production crops. It is determined that with an increase in the PPDI value, the gross yield of sugar beet, sugar content, and gross sugar yield decreased. The results of studies show that one unit of PPDI causes a loss of gross yield at the level of 0.24 t/ha and a decrease in the sugar harvest by 0.018 t/ha. That is why, to manage the risks of growing sugar beet, it is necessary to assess the phytopathogenic load of the soil. It is established that the most harmful and permanently identified phytopathogens are Rhizoctonia solani and Fusarium ssp, which indicates the need to select hybrids that are characterised by resistance or high tolerance to these pathogens. The information obtained can be used for timely identification of infection risks, development of effective management strategies, and improvement of agricultural techniques for growing sugar beet to reduce crop losses and increase the efficiency of agricultural products

Whole-farm yield map datasets – Data validation for exploring spatiotemporal yield and economic stability

CONTEXTStatistical methods used for delineation of field management zones and yield stability are frequently only applied to relatively small areas, with few studies performing rotational, whole-farm economic spatiotemporal appraisals. To enable accurate economic analysis, yield map datasets must contain minimal errors while cleaning procedures are often used to remove errors, it is rare that cleaned data is validated before its application. OBJECTIVEThe objective of this study was to process, validate and combine spatial statistical approaches for a rotational yield map dataset from a whole-farm across 7 crops in a winter wheat based rotation. Developing a framework for using validated yield map datasets to support precision agriculture techniques that are applicable for farm-level decision making. METHODSThe rotational completeness of a 10 year combine yield map dataset for a 435 ha farm in Eastern England was assessed. The dataset was cleaned statistically, and its accuracy assessed by comparison with recorded yields from trailer weigh cells. The cleaned, validated, and corrected yield map dataset was used to identify management zones across the whole farm using fuzzy clustering. The temporal stability of management zones and economic performance across the rotation was also assessed. RESULTS AND DISSCUSIONData cleaning methods removed 16% of data points, improving the degree of spatial correlation within the individual yield maps. Independent validation demonstrated varied accuracy of yield maps from combine harvester data and errors in wheat ranged from 0.53 to 1.53 t/ha RMSE. These errors have implications for researchers using combine yield data to develop and validate precision agriculture technologies. This data set required correction before yield data can be applied with confidence for on-farm decision making. Compared to the zones with the highest margin in each field, 34% of zones had an average annual margin loss of >£100 ha. The temporal stability of the resulting management zones also varied. Areas with the lowest economic performance and greatest yield stability across years will potentially see the greatest economic and environmental benefits from precision agriculture techniques. SIGNIFICANCEThe accuracy of combine yield map data should not be assumed. The application of these datasets, including for the identification of management zones or in developing precision agriculture techniques should attempt to address this through data cleaning and validation procedures. Only then should it be used for on farm decision making, such as identifying areas with the most economic benefit by applying precision agriculture tools such as variable rate nutrient applications.

Propelling wheat yield efficiency: Accuracy supplement streamlining techniques for sustainable agriculture

Propelling wheat yield efficiency: Accuracy supplement streamlining techniques for sustainable agriculture

Farmers’ livelihood strategies for adapting to reduced water resources in the upstream Mekong Delta, Vietnam

The article analyzes the livelihood strategies of farmers to adapt to reduced amounts of water in the upstream Mekong Delta in Vietnam. The study was conducted in An Phu district, the upstream district of An Giang province, bordering Cambodia, the area first affected when the availability of water resource from the Mekong River changes. The study aims to learn about the impact of changes on livelihood patterns and agricultural livelihood strategies using qualitative and quantitative data collection methods including: household surveys, key informant interviews, participatory rural appraisal methods, and in-depth interviews with farmers. The results show that the decrease in water resources has led to transitions in the livelihoods of farmers. From 2011 to 2022, flood levels had changed, peak floods were lower, and duration of the seasonal floods was shorter. Farmers have gradually changed farming patterns and techniques and adopted different strategies, including from (1) rice to “safe rice” (44.73%); (2) rice to fruits (32.99%); (3) rice to vegetables (6.41%); (4) and vegetables to fruits (13.42%). The reason for these transitions are: reduced water resources availability for practical farming; higher profits are possible with alternative strategies; and, availability of new learning from neighbouring farmers. Better use of available water resources, protection of human health and the environment, and lower production costs are the pathways that farmers have been aiming to achieve effectively and safely on account of changes in their environmental conditions.

Goat-CNN: A lightweight convolutional neural network for pose-independent body condition score estimation in goats

Modern livestock farming systems face the challenge of meeting the growing demand for dairy and meat products while ensuring the well-being of animals. Body Condition Scoring serves as a vital process for assessing the body reserves in animals, impacting their health, welfare, and productivity. However, traditional body condition score (BCS) evaluation methods via observation and palpation of specific anatomical regions are labor-intensive and subjective, hindering their widespread adoption. To address this issue, Precision Livestock Farming (PLF) techniques, particularly those involving Internet of Things (IoT) devices and artificial intelligence (AI), have emerged as promising solutions. In this work, we explore the use of AI, specifically Convolutional Neural Networks (CNNs), to automate the assessment of BCS in goats utilizing imagery data. Our model was trained on 5000 images illustrating the dorsal view of the backside of goats achieving an overall accuracy of 97.94 % which was the highest compared to other popular deep learning architectures from literature (e.g. VGG16, ResNet34, ResNet50, DenseNet, GoogleNet). The proposed custom CNN model for goat-specific BCS estimation overcomes the limitations of manual sketching, providing automatic region identification for BCS assessment. Moreover, it is a lightweight model specifically designed for seamless integration with IoT devices, allowing for efficient on-board processing via cameras. The model's pose-independent nature and adaptability to environmental constraints make it a valuable tool for efficient and sustainable goat farming. This research advances the application of AI as a precision livestock farming tool, contributing to the reinforcement of the animal welfare and productivity, and supporting evidence-based decision-making processes to increase farms' resilience.

Precision agriculture techniques for evaluating tart cherry tree health

Precision agriculture techniques for evaluating tart cherry tree health

A Comprehensive Review on Soilless Cultivation for Sustainable Agriculture

With the growing challenges of food security and environmental degradation, there is an increasing need for sustainable agricultural practices. Soilless cultivation techniques offer a promising solution by minimizing land and water use while maximizing crop yield and quality. This review examines the potential of soilless cultivation methods in promoting sustainable agriculture. The purpose of this review is to evaluate the effectiveness of soilless cultivation techniques in sustainable agriculture. It aims to analyze the various methods used, their advantages and limitations, and their contributions to environmental sustainability and food security. A comprehensive literature review was conducted to gather information on soilless cultivation techniques, including hydroponics, aeroponics, and aquaponics. Relevant studies and reports were analyzed to assess the performance of these methods in terms of resource efficiency, crop productivity, and environmental impact. The review found that soilless cultivation techniques offer significant advantages over traditional soil-based farming, including higher crop yields, efficient water and nutrient use, and reduced environmental footprint. Hydroponic systems, in particular, have been widely adopted and have shown promising results in various crops. Additionally, soilless cultivation methods can be tailored to different environmental conditions, making them adaptable to a wide range of settings. In conclusion, soilless cultivation holds great potential for sustainable agriculture by addressing key challenges such as land and water scarcity, soil degradation, and climate change. While further research and technological advancements are needed to optimize these techniques and make them more accessible to farmers, the evidence suggests that soilless cultivation can play a significant role in achieving global food security and environmental sustainability goals.