Enhancing Agricultural Productivity Research Articles

A Review of Financial Problems Faced by Orange Producing Farmers in Amravati District

Agriculture in India serves as the primary economic sector, supporting the livelihoods of a significant portion of the population. With two-thirds of the populace dependent on it, agriculture remains the cornerstone of the nation's economy. Enhancing agricultural productivity is crucial for sustained growth, with its trajectory deeply intertwined with the country's long-term economic prospects. Within the agricultural landscape, orange farming stands as a prominent venture, particularly the cultivation of Nagpuri oranges, renowned for their quality. However, despite its promise, orange farmers encounter considerable financial hurdles, including fluctuating prices and high production costs. Hence the research study focused on the financial challenges faced by the orange producing farmers. To navigate these challenges, farmers must employ strategic financial management techniques while ensuring the quality of their produce. Additionally, marketing their oranges poses its own set of obstacles, prompting farmers to explore diverse avenues for sales, including local and international markets. Despite the financial constraints, orange farmers remain resilient, striving to maintain the excellence of their produce amidst economic uncertainties.

Egyptian Ecosystem's Impacts on Climate Change: A Case Study of Some Agricultural Indicators

Objective: the current study aims to empirically examine the dynamic impacts of ecosystem, with a particular focus on some agricultural indicators such as agricultural value added, crop production index, and livestock production index on CO2 emissions using annual time series data from 1990 to 2021. In order to enhance agricultural practices and develop successful sustainable agriculture policies in Egypt's agriculture sector. Method: A literature review involving numerous studies has revealed that agriculture is a significant contributor to the emission of CO2 into the atmosphere, hence exacerbating the phenomenon of global warming. These studies utilized many methodologies, including ARDL, DOLS, FMOLS, CCR, and Johansen, to accomplish their objectives. These methodologies were applied to annual data from multiple countries. Therefore, this study used Johansen's cointegration test to fulfill their objectives. Results and Discussion: The findings indicate that a 1% rise in agriculture value added and crop production index is found to be associated with a long-run decrease in carbon dioxide emissions of around 0.48% and 0.78%, respectively. A bidirectional causal relationship existed between carbon dioxide emissions and livestock production. Additionally, livestock production has a causal effect on crop production and conversely, crop production influences livestock production. Research Implications: Enhancing agricultural productivity and environmental sustainability can be achieved by adopting climate-smart practices in the agriculture sector, at both local and global levels. Originality/Value: This research study makes a valuable contribution to the existing body of literature by examining the significant and causal connections between environmental degradation and agriculture in the long term. This research demonstrates its significance and worth through its potential to aid policymakers in Egypt and other developing countries in formulating and executing efficient policies designed to address environmental degradation.

Enhancing Agricultural Productivity through Smart Farming with IoT

Technology has greatly advanced the agriculture industry, making it more data- driven and intelligent. The Internet of Things has grown at an exponential rate, causing significant changes in many industries, radical change creates opportunities as well as challenges because it destroys current farming methods. The Internet of Things (IoT) and wireless sensors' possible uses in agriculture are covered in this article. It also discusses some of the challenges that could occur from integrating this technology with traditional farming methods. The IoT tools and techniques used in agricultural applications are explained in detail. Based on this article, we can determine current IoT trends in agriculture.

Enhancing Agricultural Productivity in Uzbekistan: Arduino-Based IoT Framework for Sunflower Seed Yield Improvement through Air and Soil Moisture Monitoring

The core theme of the current investigation is to explore the application of an IoT framework protocol based on an Arduino platform designed to optimize sunflower seed production in Uzbekistan based on the levels of air quality and soil moisture. In essence, the need is to give best actionable intelligence to farmers and the stakeholders in the agricultural sector on crop growing opportunities. The above proposed system involves the use of air quality sensors MQ-135 for instance, and soil moisture sensors. The sensors are connected to Arduino boards to collect necessary data and measurements are recorded every 30 minutes using available WiFi and Bluetooth modules for continuous monitoring. The simulation reveals air quality data of the sunflower fields of the present scenario to be an average at PM2.5 is of 75 µg/m³, which poses danger to the wellbeing of plants. It is further expected that the use of MQ-135 air quality sensors will decrease the overall average of PM2.5 to 45 µg/m³, the local authorities managed to cut emissions by 40% as part of the EU plan. At the present time, the content of the field moistures is 15 % VWC, which is not favorable for sunflower development. Soil moisture sensors for accurate irrigation control is another advance that requires soil moisture levels to rise to 25% vadium weight (VWC), up from 66. 7% improvement. Therefore, it means that the yields from the sunflower seeds are expected to rise from the current average of 1, 500Kg/ha to 1, 875 Kg/ha, which is a 25% enhancement. These results imply that IoT systems developed on the Arduino platform may be used to oversee environmental alteration and increase the agricultural crop yield by a wide margin. The possibility was identified to achieve significant outcomes in increasing sunflower seed production based on this framework when implemented on a larger scale for the benefit of Uzbek farmers.

Enhancing agriculture productivity with machine learning in crop yield optimization

The majority of the GDP of an agriculture-based economy comes from farming. This initiative was inspired by the rising suicide rates among farmers, which may be related to poor crop yields. The field of agriculture is now seriously threatened by changes in the climate and other environmental factors. For this problem to be solved effectively and practically, machine learning is a crucial strategy. Estimating agricultural output based on historical information such as Ph, humidity temperature, rainfall, N, P, K. We used Machine Learning method to achieve this. We constructed and compared a number of various machine learning algorithms and ultimately settled on the Random Forest Algorithm, which provided an accuracy of 97.87%.

Enhancing agricultural productivity through a semi-autonomous IOT robot in smart farming systems

In addressing the challenge of enhancing agricultural productivity in developing countries, this research introduces a semi-autonomous IoT robot designed to modernize traditional farming practices in regions like Bangladesh. The study explores whether such a robot can effectively integrate with existing farming practices and assesses its impact on agricultural productivity, resource optimization, and most importantly cost-efficiency. The literature reveals a push towards smart farming technologies, but their adoption in less affluent regions is hindered by cost and resource constraints. Employing a mixed-methods case study approach, the research developed and tested a robot equipped with an NPK sensor for detecting levels of nitrogen, phosphorus, and potassium in the soil, a water level indicator to measure flood water levels in millimeters, and a soil moisture sensor. These data were transmitted to the user's phone over the internet, allowing for remote monitoring of fertilizers and water levels. Additionally, the system included a remote-controllable water dispenser for irrigation and a fruit-picking mechanism for harvesting. The results indicated that all intended data collection was executed accurately, enabling users to remotely monitor soil conditions and effectively control the robot's actions. However, the initial cost of the robot may be slightly expensive for individual farmers, though mass production is anticipated to reduce the price to a level that is reasonably affordable for widespread adoption. However, limitations in sensor calibration for different soil types are acknowledged. Future research suggested exploring sensor calibration precision, extending system capabilities, and integrating predictive AI for a comprehensive agricultural solution. Bangladesh J. Agri. 2023, 48(2): 95-105

Deep Learning-based Regional Plant Type Recommendation System for Enhancing Agricultural Productivity

Deep Learning-based Regional Plant Type Recommendation System for Enhancing Agricultural Productivity

Leveraging Artificial Intelligence for Enhancing Agricultural Productivity and Sustainability

Leveraging Artificial Intelligence for Enhancing Agricultural Productivity and Sustainability

Impact of Land Ownership in Enhancing Agricultural Productivity in Rural Areas of Eastern Cape Province

Land is a principal and calamitous factor in agricultural production and the growth of livelihood prospects in Sub-Saharan Africa. Land ownership is an indispensable resource for agrarian efficiency in the pastoral regions of South Africa. It leads to sustainable and feasible farming. However, the mainstream rural dwellers struggle to access and obtain land ownership, thus leading to low agricultural productivity. Therefore, the study seeks to investigate the effect of land tenure in enhancing agrarian efficiency in rural areas of Eastern Cape Province. The study used a cross-sectional research approach and a multi-stage sampling procedure. A semi-structured questionnaire was used to collect data from 250 smallholder farmers. The analysis tools used were descriptive statistics, Logit regression, and Propensity Score Matching. Farmers were landowners, with 70% and 60% having small-sized farms, which they utilise for agricultural production. About 17% of the farmers did not utilise the land they own because of a lack of funds, water availability and farming equipment. The farmers' age, gender, years spent in school, members of farm organisations, access to extension services, household income, and hired permanent labour were socio-economic and institutional factors influencing land ownership. PSM results revealed that fully owned small-sized farms achieved high agricultural production than rented large-sized farms. The study concludes that full land ownership impacts agricultural productivity more than rented land. Hence, productivity is high. Therefore, the study recommends that the South African government and land reform policy must fast-track land redistribution among rural dwellers and farmers to enhance agricultural productivity.

Book Review of Enhancing Agricultural Productivity and Farmer Incomes in Bihar Edited by Sankar Kumar Bhaumik

Book Review of Enhancing Agricultural Productivity and Farmer Incomes in Bihar Edited by Sankar Kumar Bhaumik

Risk Identification from the Perspective of South-South Cooperation —Evidence from China and Mongolia Agricultural Technology Cooperation

Continuous growth, the transformation of animal husbandry, and economic policy offer substantial opportunities for agriculture development, alleviate poverty, food security gains, improve human nutrition, and grow the agriculture economy. In Mongolia, successive governments have brought revolutionary changes to establish the planting industry in the region. The Mongolian government vigorously implemented a "land reclamation" policy three times to promote and develop the plant industry. Plant industry is the only viable livelihood option for the impoverished Mongolian people. Therefore, South-South Cooperation agricultural technology transfer project is a significant component of China's international agricultural cooperation and assistance. It has carried out many exemplary agricultural projects to improve agriculture development and animal husbandry in Mongolia, positively enhancing agriculture productivity. Therefore, this article aims to analyze the modes, achievements, and risks critically. This introductory article examined the existing difficulties and risks related to the dairy cow, sheep, and freshwater fisheries in China and Mongolia during 2000-2020. It concluded that lack of supply chain cooperation and unsustainability are significant problems. Finally, this study provides guidelines to promote the agricultural economy, technology, and market mechanisms to gain the mutual benefit of economic and trade cooperation. This study suggests transforming the existing single project-driven cooperation mode of government and enterprises into a deepen corporation by multiple projects in agriculture, animal husbandry, technological management, metrology, crops, and veterinary medicine. Moreover, to increase renewable energy, the government should support, cooperate, and implement the “One Billion Trees" campaign as part of the "Recovery Policy" to mitigate climate change.

Agricultural Application of Synthesized ZnS Nanoparticles for the Development of Tomato Crop

Nanoparticles (NPs) are playing a significant role in the development of modern agriculture. Among other metal nanoparticles, ZnS NPs are important due to their utilization in agriculture. Zinc sulfide nanoparticles have great potential to enhance agriculture production. The co-precipitation method was used to make ZnS nanoparticles, and morphological features were investigated using X-ray diffraction (XRD) and a transmission electron microscope (TEM) to determine size. The average particle was near ~3 nm calculated using XRD, close to the TEM study. Tomatoes, which belong to the Solanaceae family, are one of India's most important vegetable crops. The tomato plants were sprayed with a graded concentration of zinc sulfide nanoparticles (ZnS NPs) based nano-fertilizer four times at a 15-day interval and a control. At the flowering time, growth parameters such as plant height were measured. Nanofertilizer-treated plants showed increased weight and quality of crop yield. This paper elaborates the synthesis, characterization, properties, and application of ZnS NPs as nano-fertilizer on tomato plant growth. Developing nano-based fertilizer would be a new technique in this field, as nano-fertilizers are beneficial and less toxic to chemical fertilizer and improve soil fertility.

Enhancing agricultural and industrial productivity through freshwater withdrawals and management: implications for the BRICS countries

This paper analysed the effect of freshwater withdrawals and management on agricultural and industrial sectors productivity in the emerging market economies. The auto-regressive distributed lag model and the panel analyses were employed in our estimations. Our result revealed that Brazil had better water use efficiency in agricultural production with annual withdrawals which contribute significantly and positively to the increase in crop and livestock index. In contrast, annual withdrawals for agriculture were considered to be least efficient in Russia, followed by China and India, although, in South Africa, the result suggested an insignificant positive effect in the incremental index. Furthermore, our analysis revealed that freshwater withdrawals have a significant positive impact on industrial outputs in South Africa. Similarly, water withdrawals were positively related to industrial sector productivity in China and Russia. Brazil and India appear to be the least efficient countries where withdrawals impacted negatively (and significantly for Brazil) on industrial sector outputs. Our panel analyses showed that freshwater withdrawals were positively associated with crop and livestock production index and industrial outputs in the BRICS economies. However, the magnitude of the impacts was only significant for the industrial sector. Moreover, investments and private participation in water and sanitation projects impacted significantly and positively in productivity in both sectors.

Design and Simulation of a Greenhouse FSS Nanofiber Film for Enhancing Agricultural Productivity by Selective Reduction of UV and NIR

A greenhouse covering film is an essential part of any greenhouse. Its function is to filter solar radiation in the ultraviolet (UV) and the near-infrared (NIR) bands while allowing a great amount of photosynthetically active radiation (PAR) to transmit. This paper proposes a design of the greenhouse covering film based on a frequency selective surface (FSS). Aluminum is made into fibers in the nanoscale. They are laid out in an array, in-plane at equidistance from one another. This arrangement induces the wavelength selectivity of light via adjustment to the fiber sizes and spacings. The performance is evaluated by a finite element analysis (FEA) method. The results show less than 26% transmittance of UV and NIR while allowing more than 94% transmittance in the PAR regime.

The 3rd International Conference on Agriculture and Bioindustry (ICAGRI)

(The 3rd ICAGRI 2021) The 3rd ICAGRI-2021 theme is “Sustainable Technologies for Enhancing Agricultural Productivity: Challenges and Current Scenario” Banda Aceh, 13 October 2021Organized by: Faculty of Agriculture, Universitas Syiah Kuala Supported by: Extended Preface The 3rd International Conference on Agriculture and Bioindustry (ICAGRI) is an international conference that brings leading international academia, researchers, policymakers, professionals and stakeholders in the domain of interest from around the world together. Various issues related to Environmental Studies, Soil and Earth Science, Sustainable Agriculture, Agricultural Biotechnology, Agricultural Engineering, Food Science, Animal Husbandry, Biodiversity, Biomaterial and Bioindustry and were discussed to accelerate innovation and technology of resource-based food security and local wisdom.The conference that organized by Agriculture Faculty, Universitas Syiah Kuala (USK) was held on October 13, 2021 in Banda Aceh, Indonesia. This year, due to the current COVID-19 pandemic, the conference was carried out in the form of virtual conference to avoid personnel gatherings. Nevertheless, we can see the enthusiasm of the participants from the number of papers we received. In total, we received 174 submitted papers through submission system, while 59 submission papers were rejected due to irrelevant topics and content concerns. A total of 115 papers were accepted for presentations on the 3rd ICAGRI 2021. Selected papers were compiled into the proceeding after being reviewed rigorously.The conference was not postponed since it has been scheduled and planned for last 6 months. It also related with tight schedule of keynote and invited speakers. Moreover, it is regularly requested by researchers from previous ICAGRI to perform the conference as planned. It was conducted using Zoom platform and lively broadcast through YouTube platform. The conference started by keynote speakers’ presentations, and followed by invited speakers and participant presentations. There was a discussion session after each presentation. We are greatly honored to have Prof. Dr. Ir. Dedi Nursyamsi, M.Agr (representative of minister of agriculture Republic Indonesia), Prof. Dr. Fátima Baptista (University of Évora and MED, Portugal), Dr. Natsumi Kanzaki (Forestry and Forest Products Research Institute, Japan), Prof. Dr. Susanne Neugart (Georg-August-Universitát Gottingen, Germany).As the conference chair, we would like to thanks to the organizing committee, the international scientific committee, the reviewers, the editors, and the publisher for tremendous contribution on the 3rd ICAGRI 2021. We are expecting more experts and scholars from all over the world to join the next ICAGRI in 2022.Sincerely yours,Dr. rer. hort. Indera Sakti Nasution, M.Sc.Chairperson of the 3rd ICAGRI 2021EDITORIAL BOARDS AND INTERNATIONAL SCIENTIFIC COMMITTEE, ADVISORY BOARD, ORGANIZING COMMITTEE are available in the pdf

Exploration of Agriculture Automation Employing IoT Gateway and Wireless Network

The Platform which is known as the Internet of things (IoT) is a growing technology which can connect and control IoT sensors, appliances, home and industries. The devices which will be used are based on IoT & by using them one can enhance agriculture production, save water and reduce the wastage. The objective of the paper is to propose automatic watering system to plants using sensors and IoT & to simplify agricultural techniques through modern day digital methods. Also Real time monitoring of plants will be done. Farmers can monitor live data (Humidity, Temperature, soil moisture level, Condition). By this smart IoT based farming technology, Farmers can receive real-time data as well as past data of plant (the data will be stored in the cloud service) and they can also receive the real-time image of the plant.

Enhancing Rice Production by Potassium Management: Recommended Reasonable Fertilization Strategies in Different Inherent Soil Productivity Levels for a Sustainable Rice Production System

Enhancing agricultural productivity with the minimum possible cost to the environment is crucial for sustainable agriculture development. The effective management of K fertilizer would reduce the pollution risk of fertilizer residue. The data from the 29 experimental sites for rice in Liaoning province were used to determine the effect of different K fertilizer management in increasing yield, K uptake, and potassium fertilizer contribution rates (FCRK) for rice. The relationship among rice yield, biomass accumulation and plant K uptake, and recommended reasonable K fertilizer application rates in different inherent soil productivity levels were evaluated. The four treatments comprised no K fertilizer (K0), K fertilizer application of 60 kg ha−1 (K60), 120 kg ha−1 (K120), and 180 kg ha−1 (K180). The K120 treatment showed a significant yield increase (16.59%) compared to the K0 treatment in this study. The average K uptake of grain in the K60, K120 and K180 treatments was 23.1, 24.8 and 24.9 kg ha−1, which was significantly higher by 12.67%, 20.77%, and 21.48% compared to the K0 treatment. The average K uptake of grain, straw and plant was highest in K180 (134.8 kg ha−1), followed by the K120 and K60. Additionally, the correlation between grain yield, biomass accumulation (y) and plant K uptake (x) showed a significant positive polynomial function. The equation was y = −0.406x2 + 110.43x + 639.3 and y = −0.237x2 + 135.3x + 3796.2, respectively. The FCRK followed the sequence as K180 < K60 < K120. Furthermore, the recommended K application rates in the 29 experimental sites were ranged from 92.8 to 134.5 kg ha−1, and the corresponding theoretical yield of recommended K rate were ranged from 7371.5 to 11144.5, and with an average of 9297.5 kg ha−1. Remarkably, the average recommended K rate in the four inherent soil productivity levels was 116.1, 111.2, 112.2 and 111.7 kg ha−1 and the corresponding average theoretical yield was 9966.1 kg ha−1, 10158.8 kg ha−1, 8373.2 kg ha−1 and 8881.9 kg ha−1. The results of this study suggest that different inherent soil productivity levels have different K application rates and yield performance. This result somewhat strengthens the finding of this study that moderate K application is conducive to effectively improving the yield and to the enhancement of agricultural productivity, which is conducive to the sustainable environment.

Sustainability Improvement of Traditional Cropping System in Uttarakhand, India, through Intercropping with Medicinal nd Aromatic Plants

Crop production in mountain agriculture is in steady decline (5%–30%) over the past few decades. Only few species of cereals, pulses, potato, amaranth, etc. are important cash crops in the hilly regions of Uttarakhand, India. In traditional hill cropping systems, framers grow sesame, black soybean, corn, proso millet, amaranth, Brassica spp, etc. as mixed crop. These types of traditional cropping systems are not much advantageous and do not meet the requirements of the existing population. In the hilly regions Perilla, Hedychium, turmeric, industrial hemp, lemon grass, citronella, lavender, belladonna and other medicinal and aromatic plants (MAPs) have immense potential. However, they are still not a part of the cropping system. Introduction of these MAPs as intercrops with traditional crops will not only improve the production potential of main crops, but also generate additional income to the farming family. Besides immense cash value, these plants also have less/no threats from wild animals. Similarly, introduction of medicinal and aromatic crops with horticultural crops is one of the key options to enhance agriculture production, as topography and climate of Uttarakhand is suitable for growth of these crops.

Bacteria, Fungi and Archaea Domains in Rhizospheric Soil and Their Effects in Enhancing Agricultural Productivity.

The persistent and undiscriminating application of chemicals as means to improve crop growth, development and yields for several years has become problematic to agricultural sustainability because of the adverse effects these chemicals have on the produce, consumers and beneficial microbes in the ecosystem. Therefore, for agricultural productivity to be sustained there are needs for better and suitable preferences which would be friendly to the ecosystem. The use of microbial metabolites has become an attractive and more feasible preference because they are versatile, degradable and ecofriendly, unlike chemicals. In order to achieve this aim, it is then imperative to explore microbes that are very close to the root of a plant, especially where they are more concentrated and have efficient activities called the rhizosphere. Extensive varieties of bacteria, archaea, fungi and other microbes are found inhabiting the rhizosphere with various interactions with the plant host. Therefore, this review explores various beneficial microbes such as bacteria, fungi and archaea and their roles in the environment in terms of acquisition of nutrients for plants for the purposes of plant growth and health. It also discusses the effect of root exudate on the rhizosphere microbiome and compares the three domains at molecular levels.

Enhancing Agricultural Productivity through Crops Management

Enhancing Agricultural Productivity through Crops Management