Input-output Ratio Research Articles

Trends in Millet Production in India with Emphasis on High Hills of Himachal Pradesh

The present study examined the production of millets in India with special emphasis on the economics of millet cultivation in HP. In India, Rajasthan has the maximum area under cultivation (6.15 m ha) for millets and is the largest producer (8.33 m tonnes) as well. Regarding the cultivation of millets in Himachal Pradesh, it was found that finger millet and pseudo/minor cereals accounted for 6.46 per cent of the total cropped area on sample farms. Further, it was seen that per hectare operational cost (Cost A1) for finger millet and pseudo cereals was ?24354 and 21715, respectively. The output-input ratio over cost A1 was found to be 2.61 for finger millets, whereas for pseudo-cereals, it was 1.66. Given the policy thrust for millet production and consumption, continuous technology advancement, institutional innovations, value addition, and marketing mechanisms are essential to achieving sustained productivity growth. This analysis is of vital importance both from the point of view of evolving sound production plans and for the formulation of price policies, especially when millets hold great promise for mountain agriculture in the context of natural and organic farming in the country.

Preictal period optimization for deep learning-based epileptic seizure prediction

Objective. Accurate seizure prediction could prove critical for improving patient safety and quality of life in drug-resistant epilepsy. While deep learning-based approaches have shown promising performance using scalp electroencephalogram (EEG) signals, the incomplete understanding and variability of the preictal state imposes challenges in identifying the optimal preictal period (OPP) for labeling the EEG segments. This study introduces novel measures to capture model behavior under different preictal definitions and proposes a data-centric deep learning methodology to identify the OPP.Approach. We trained a competent subject-specific CNN-Transformer model to detect preictal EEG segments using the open-access CHB-MIT dataset. To capture the temporal dynamics of the model's predictions, we fitted a sigmoidal curve to the model outputs obtained from uninterrupted multi-hour EEG recordings prior to seizure onset. From this fitted curve, we derived key performance measures reflecting the timing of predictions, including classifier convergence, average error, output stability, and the transition between interictal and preictal states. These measures were then combined to compute the Continuous Input-Output Performance Ratio, a novel metric designed to comprehensively compare model behavior across different preictal definitions (60, 45, 30, and 15 min) and suggest the OPP for each patient.Main results.The CNN-Transformer model achieved state-of-the-art performance (area under the curve of 99.35% andF1-score of 97.46%) using minimally pre-processed EEG signals. The 60-minute preictal definition was associated with earlier seizure prediction, lower error in the preictal state, and reduced output fluctuations, leading to significantly higher CIOPR scores (p< 0.001). Conventional accuracy-related metrics (sensitivity, specificity, F1-score) were less sensitive to varying preictal definitions and often discordant with CIOPR findings. Cross- and intra-patient heterogeneities in the prediction times were also observed, complicating the establishment of a global preictal interval.Significance. The newly developed metrics demonstrate that varying the preictal period significantly impacts the timing of predictions in ways not captured by conventional accuracy-related metrics. Understanding this impact and the inter-seizure heterogeneities is essential for developing intelligent systems tailored to individual patient needs and for underlining practical limitations in detecting the preictal period in real-world clinical applications.

Economic Assessment of Soybean Production in Amravati District: Costs, Returns, and Farm Size Dynamics

The research estimated the cost and returns of soybean production in the Amravati district of Maharashtra, a key region for soybean cultivation in India. Primary data was collected from 120 farmers across different farm sizes (small, medium, and large) through personal interviews and structured questionnaires. The study assessed the economic dynamics of soybean farming by examining inputs such as human labour, bullock labour, seeds, fertilizers, mechanization, and plant protection costs, and analyzed the output in terms of yields and profitability. The findings revealed significant variations in resource allocation and profitability across farm sizes. Small farmers incurred higher costs, particularly in labour due to limited mechanization, compared to medium and large farmers. The per quintal cost of production for overall farmers was Rs. 4002.20. In contrast, large farms benefited from economies of scale, with lower production cost (Cost C3: Rs. 60,878.89/ha) compared to small (Rs. 62,755.14/ha) and medium farms (Rs. 63,009.94/ha). Medium-sized farmers emerged as the most profitable, showing the best balance between input costs and returns, with a gross return of Rs. 72,597.99/ha. The overall input-output ratio for soybean cultivation indicates profitability, with a ratio of 1.14 at Cost C3. The study emphasized the potential for improving efficiency in farms through strategic investments in mechanization and better resource management. By enhancing productivity, such measures can help bridge the gap between local and global soybean productivity levels and give economic stability to soybean farmers in the region.

Analysis of Resource Use and Production Efficiencies of Broiler Farming in Punjab

The study was conducted and examined using primary data collected from 100 broiler farms, which were applied through a probability proportion sampling method across all the regions of Punjab state. The Cobb-Douglas production function was used to determine the factors affecting broiler production and resource-use efficiency. The coefficient of day-old chicks and broiler feed were positive and significant at a 1 per cent level and affected the gross return of all three categories and overall units. The miscellaneous items were positively significant at a five per cent level only on overall broiler farms. If expenditure on items comprising miscellaneous costs increased by one per cent, it may increase the gross returns by an average of 0.074 per cent. The efficiency indicators of broiler feed showed that feed was overutilized in all categories. The overall ratio of meat-feed was 1.70, which clearly showed that for every rupee spent on feed, it could return to 1.70. The large broiler farms were more desirable value in both feed conversion ratio and meat-feed or output-input ratio. The study suggested that broiler feed was over-utilized, and there is a need to stop wastage of broiler feed.

The impact of data factor-driven industry on the green total factor productivity: evidence from the China

Data factors have become an essential factor of production in today’s digital era, and provided renewed energy for China’s green and high-quality development. This study analyses the impact of data factor-driven industries on green total factor productivity (GTFP) and the underlying mechanisms using panel data of 277 Chinese cities from 2008 to 2020. The results show that: First, the urban data factor-driven industry can enhance GTFP. Second, the data factor-driven industry can increase the input–output ratio and enhance GTFP by promoting AI technological innovation and AI technological entrepreneurship. Third, the heterogeneity analysis show that in regions with high levels of digital technological innovation, the market size of data factor-driven industries is larger and the effect of data factor-driven industries in enhancing GTFP is more significant. And in regions with low levels of savings, the data factor-driven industry has limited capital availability and is more efficient in using capital, which has a stronger effect on GTFP enhancement. This study provides valuable empirical evidence on the relationship between data factor-driven industries and urban GTFP, and important policy implications for fully leveraging the green economic effects of data factors, and promoting green and high-quality urban development.

Identifying the Complexity of the Food-Energy-Water Nexus Based on Emergy Analysis in Crop Production Systems of China

To elucidate the food-energy-water (FEW) nexus, the paper proposes a framework for multifunctional development objectives within the context of CPSs, integrating emergy analysis and the coupled coordination model. The article’s primary focus is on the utilization of blue and green water in the cultivation of a variety of food crops and the acquisition of purchased energy. The paper was evaluated according to three key indicators: stability, development, and sustainability. Furthermore, a quantitative evaluation of the trade-offs among the FEW nexus and its constituent sub-nexuses was conducted over the period from 2000 to 2022. The study revealed that China has witnessed an expansion in its total CPS inputs, with renewable inputs accounting for 32.89% and an average annual input-output ratio of 37.98%. The annual emergy values for food, energy, and water resources were 6.85 × 1023 Sej, 1.43 × 1023 Sej, and 7.91 × 1022 Sej, respectively. The annual growth rates were 2.16%, 2.11%, and 0.77%, respectively. The CPS exhibits an average proportion of green and blue water resources of 64.37% and 35.63%, respectively. The coupling coordination of the FEW nexus demonstrates a transition between years from mild dysfunctional recession to quality coordinated development, with the coordinated use of FEW resources increasing for maize, largely maintained for rice, and decreasing for wheat, soybean, and potato. The objective of this study is to provide differentiated strategies for regional food conservation and sustainable development worldwide.

Enhancing Mobile Central Bank Digital Currency Payment Participation Through Creative Communication on Social Media

With the development of mobile technology, mobile devices have dramatically changed the way people entertain and pay. Social media platforms are booming, and social media is gradually becoming the main form of entertainment for people. Enterprises and organisations with promotional needs are paying more attention to the high efficiency and high input–output ratio of social media communication. Social media advertising has shown more vitality than traditional advertising. Meanwhile, mobile devices have also changed the way people pay, and mobile payment is gradually becoming popular. China has taken the lead in launching mobile Central Bank Digital Currency (CBDC) payment, a new payment technology, and social media communication also plays an important role in promoting CBDC payment. The purpose of this article is to explore the impact of social media creative communication on mobile CBDC payment participation. A research model suitable for this study was created by integrating privacy concern and elaboration likelihood model theory. A valid response from 300 respondents was obtained through an online self-administered questionnaire. Hypotheses were tested through a two-stage research method of partial least squares structural equation modelling with the method of artificial neural network. The results of the study showed that social media advertisements’ creativity and social media information quality significantly and positively influence users’ social media engagement. Users’ social media engagement significantly and positively influences users’ mobile CBDC payment participation. The study provides valuable practical guidance for managers of mobile CBDC payments to promote mobile CBDC payments through social media.

The Formation Mechanism of Residual Oil and Methods of Enhanced Oil Recovery in a Fractured Low-Permeability Metamorphic Rock Reservoir in Bohai Bay

The oil reservoirs of the metamorphic rocks in Bohai Bay have geological characteristics such as low matrix porosity and permeability, developed natural microfractures, which result in the injection water rapidly advancing along fractures, a fast increase in the water content, and difficulties in extracting the remaining oil. In order to reveal water channeling and the residual oil formation mechanisms in fractured low-permeability reservoirs and solve the water channeling problem, we first analyzed the reservoir development status, then studied the formation mechanism of residual oil using a microfluidic chip device, and formed a method of hierarchical control to effectively control the water channeling problem of fractured reservoirs and maximize the displacement of residual oil. The results show that (1) Due to the low permeability of the reservoir matrix, a large amount of injected water flows along the fracture channel, which leads to the long-term high water cut of some oil wells and the retention of a large amount of crude oil in the matrix. (2) The results of microfluidic experiments show that the distribution of residual oil after water flooding mainly includes five types: blind end of the pore throat, columnar, cluster, flake and film, and residual oil. Among them, sheet-like and clustered residual oil are dominant, accounting for 75~85% and 10~13%, respectively. (3) Based on the characteristics of fracture development in buried-hill reservoirs, a hierarchical control technology of “gel particle + liquid crosslinked gel system” is established. The field application effect predicted that the input–output ratio was 1:3. This study provides a reference for the comprehensive treatment of water channeling in the same type of offshore fractured low-permeability metamorphic rock reservoirs.

Economic Analysis of Seed Spice Cultivation in Gujarat, India

The present investigation was carried out to study the cost of cultivation and returns per hectare of major seed spices in Gujarat. The study was conducted at Banaskantha district for cumin and fennel as per the second highest triennium average area of cumin and fennel and at Junagadh district for coriander as it shows the highest triennium average area of coriander respectively during the year of 2023-24. In Gujarat for 2023-24, cumin cultivation incurred significant costs with hired labour as the largest component at 15.80 per cent, followed closely by family labour (15.65%) and rental value of owned land (13.44%). Fennel farms saw average costs of ₹70468.90 per hectare, peaking at ₹71356.01 on large farms and lowest at ₹67208.33 on small farms, with family labour (17.25%), irrigation (16.04%) and land rental (15.64%) as major expenses. Similarly, coriander farms had an average cost of ₹75939.26 per hectare, highest on large farms at ₹76551.63 and lowest on small farms at ₹74160.06, with rental value on owned land (18.95%), hired labour (16.35%), and family labour (11.74%) being significant costs. Costs increased with farm size across all crops. Cumin proved most profitable with an input-output ratio of 1:3.08, compared to fennel (1:1.48) and coriander (1:1.76) in the same period.

Research and Practice of Sand Control Completion Technology Optimization in Western H Oilfield

Abstract In view of the problems of poor reservoir physical properties, high clay content, loose cementation, shallow burial, low compaction degree, low temperature in the middle and deep oil layers during the development process of unconsolidated sandstone reservoirs in the western H oilfield, the original sand control technology has poor adaptability and short sand control validity period., this paper carried out research on the optimization of sand control completion technology. In the study, a series of optimization studies were conducted, including analysis of acoustic time difference in sand producing layers, simulation of sand control formation compaction, optimization of gravel filling particle size, and sand control tools. A high-strength artificial wellbore and cyclic gravel filling sand control completion process suitable for different sand producing well conditions were developed and applied in practice. The research results and on-site practice indicate that the high-strength artificial wellbore sand control completion technology has good adaptability in low-temperature and long wellbore sand production wells; The cyclic gravel filling sand control completion technology has the advantages of simple construction, low cost, and low probability of major repairs in conventional shallow sand producing wells; The complementary advantages of the two processes effectively solve the problem of sand damage in H oilfield. Since 2021, the optimized sand control completion technology has been applied 46 times in H oilfield, with an average recovery oil production of 3.4t per well and an average effective period of over 500 days for sand control. The overall input-output ratio is 1:2.8, achieving good benefits and having high promotion and application value.

Comparison of Yield and Cost Data of Cotton Crop Production During 2019 and 2020 in Baluchistan

The study was carried out through a primary as well as secondary data collection from several stakeholders to examine the average position of cotton production, average per acre cost of production, physical and income productivity, economic profit, input output ratio, problems and constraints, faced by cotton farmers and to recommend policy measures for maintainable cotton production and marketing in study area. Statistics examines were performed by retaining the descriptive figures as well as standard economic methods. A mixture of qualitative and measurable methodical procedures such as cost of production, market limits, regression analysis, cross tabulation analysis were carried out. The study was carry out in Lasbella, Sibi, Noshki, Turbat, Dera Bugti and Khuzdar districts in Balochistan. The data were gathered from 77 farmers of cotton growers and collected material was related to cotton production in Kharif 2019 and 2020. Majority of cotton growers were small land holders and age was 48.33 years. The average seed rate was 10.50kgs/acre and purchasing price was Rs.344.33/kg during 2019 &amp; 2020 correspondingly. The budget of production was Rs.91762.50 and total revenue was Rs. 192297.5 per acre in 2020 respectively. The average profit/net income of cotton growers received was Rs. 100535 and Rs.95225.77 per acre in 2020 and 2019 respectively.

Investigation and Analysis of the Contribution of Chinese Electric Vehicle Social Organizations’ Standardization Innovation to Intelligent Optimization Research and Development Investment

Intelligent design has been the direction pursued by international electric vehicle (EV) research and development (R&amp;D) teams in recent years. This paper analyzes the problems of unsustainable development in the current product design of EVs in China, such as high R&amp;D investment, high innovation risks, and low R&amp;D input–output ratios. It explores the issues related to intelligent design, R&amp;D investment, car prices, and safety in the field of EVs in China, and it proposes the concept of optimizing intelligence to optimize the design investment of EVs in China. On the basis of the development situation and the existing problems of social organization standards that gather innovative technologies for EVs, this paper used data from the national social organization standard information platform as the research object and analyzed important data, such as the quantity of the information of relevant social organizations and professional fields of social organization standards, through mathematical methods. The article proposes an optimization design scheme for EV products in China, combining intelligence and practicality from the perspective of the optimizing intelligent design, and it models the construction of EV optimization design. The quantitative relationship between the two schemes before and after optimization design is compared in terms of cost savings in intelligent design, the improvement of social benefits, and the enhancement of EV cost performance. The comparative study found that intelligent optimization design reduced the R&amp;D cost of EVs by 45.24%, and the social benefits of R&amp;D investment increased by 29.51%.

Analysis of the Spatiotemporal Differentiation and Influencing Factors of Land Use Efficiency in the Beijing–Tianjin–Hebei Urban Agglomeration

Optimizing urban land use is of significant practical importance for promoting economic development, enhancing the standard of living for individuals residing in metropolitan areas, enhancing urban infrastructure and public services, driving urban transformation and upgrading, and attaining synchronized progress of the economy, society, and environment. This paper uses the super-efficiency SBM model to measure the urban land use efficiency (ULUE) of 13 cities in the Beijing–Tianjin–Hebei (BTH) urban agglomeration from 2005 to 2020 and explores the spatiotemporal evolution characteristics and influencing factors of ULUE in this urban agglomeration using analysis of spatial data and application of geographic detector methods. The results show that (1) from 2005 to 2020, the ULUE of the BTH urban agglomeration had an initial rise followed by a decline; however, the overall efficiency score is above 1, suggesting an overall effective state; (2) a distribution pattern with Beijing as its core was established, exhibiting greater ULUE in the northern region and poorer efficiency in the southern region, with significant correlation characteristics in efficiency values between adjacent cities; and (3) capital input, labor input, social welfare, and ecological environment are all influencing factors that promote the improvement in ULUE in the BTH region, and the interaction of any two factors explains the ULUE in this region better than a single factor. The empirical research results can provide useful references for improving the input–output ratio of land units and further spatial planning and policy formulation in the BTH region.

Costs and Profit Assessment of Layer Eggs Farming in Punjab, India

A study was conducted with primary data collected from 100 layer producers chosen by proportion probability sampling technique distributed across all the regions of Punjab. The results showed that the educational status of the head of the family was observed in 41 per cent of layer farmers who got the above matric standard. The variable and fixed costs accounted for 96.66 and 3.34 per cent, respectively of the total costs. Poultry feed followed by pullets feed was found to be the most important item of variable cost to the extent of `657.19(US $7.83) in absolute terms and accounted for 65.42 per cent of the maintenance cost of layer production. The gross returns from poultry farming were `1093.55 (US $13.04) per bird. The output-input ratio on layer farms was 1.09 which revealed that poultry is a profitable enterprise and based on output-input ratios, large poultry farms were more efficient as compared to medium and small. While comparing the mortality rate across categories the large layer farmers were found efficient due to better management and adequate needed infrastructure. On the whole, it can be concluded that poultry production is a profitable venture and eggs production a most favoured subsidiary enterprise among the Punjab farmers.

Intraoperative fluid management in adult spinal deformity surgery: variation analysis and association with outcomes.

To evaluate the variability in intraoperative fluid management during adult spinal deformity (ASD) surgery, and analyze the association with complications, intensive care unit (ICU) requirement, and length of hospital stay (LOS). Multicenter comparative cohort study. Patients ≥ 18years old and with ASD were included. Intraoperative intravenous (IV) fluid data were collected including: crystalloids, colloids, crystalloid/colloid ratio (C/C), total IV fluid (tIVF, ml), normalized total IV fluid (nIVF, ml/kg/h), input/output ratio (IOR), input-output difference (IOD), and normalized input-output difference (nIOD, ml/kg/h). Data from different centers were compared for variability analysis, and fluid parameters were analyzed for possible associations with the outcomes. Seven hundred ninety-eight patients with a median age of 65.2 were included. Among different surgical centers, tIVF, nIVF, and C/C showed significant variation (p < 0.001 for each) with differences of 4.8-fold, 3.7-fold, and 4.9-fold, respectively. Two hundred ninety-two (36.6%) patients experienced at least one in-hospital complication, and ninety-two (11.5%) were IV fluid related. Univariate analysis showed significant relations for: LOS and tIVF (ρ = 0.221, p < 0.001), IOD (ρ = 0.115, p = 0.001) and IOR (ρ = -0.138, p < 0.001); IV fluid-related complications and tIVF (p = 0.049); ICU stay and tIVF, nIVF, IOD and nIOD (p < 0.001 each); extended ICU stay and tIVF (p < 0.001), nIVF (p = 0.010) and IOD (p < 0.001). Multivariate analysis controlling for confounders showed significant relations for: LOS and tIVF (p < 0.001) and nIVF (p = 0.003); ICU stay and IOR (p = 0.002), extended ICU stay and tIVF (p = 0.004). Significant variability and lack of standardization in intraoperative IV fluid management exists between different surgical centers. Excessive fluid administration was found to be correlated with negative outcomes. III.

Study of Bajra Production in Solapur District, India: An Economic Perspective

This study examined the economics of Bajra production in Solapur district between 2021-22 using primary data. The study employed stratified and purposive random sampling data technics to select 90 bajra farmers through the use of well-structured questionnaire. The result shows that per hectare cost of cultivation of Bajra at cost “C3” was the highest in large group i.e. 40023.95 followed by medium group Rs. 31095.14 and small group Rs. 26086.85. To estimate cost and returns in Bajra production was achieved by tabular analysis with cost concepts i.e., Cost A1, Cost A2, Cost B1, Cost B2, Cost C1, Cost C2, &amp; Cost C3 percentage and output-input ratio was emphasized. Study of constraints and suggestion of Bajra grower in production and marketing of Bajra was achieved by applying frequency and percentage method. The average yield and gross returns per hectare increased with the increase in size of farms. The Input Output ratio of Bajra at “C3” was 1.22 in small group, 1.24 in medium group and 1.26 in large group. This indicates that, Cultivation of Bajra crop was economically profitable. The average main production was 275.89 qt/ha.

AN ECONOMICS OF POTATO PRODUCTION IN KANGRA DISTRICT OF HIMACHAL PRADESH

In Kangra district of Himachal Pradesh is renowned for its disease-free quality seed potato production, an economic study of 200 growers grouped into small (105) and large (95) farms revealed an overall cost of cultivation at Rs. 94,667 per farm and Rs. 3,08,051 per ha in 2022-23. Among all inputs, potato seed accounted for 29% per hectare, while human labor constituted 27% of costs. The total variable cost was 89%, with fixed costs at 11% per ha. Gross income averaged Rs. 4,67,705 per ha. Efficiency analysis across farm categories showed the cost of potato production at Rs. 250 per quintal (q). Large farms exhibited a slightly higher output-input ratio (1.52) compared to small farms. Production costs ranged from Rs. 1,195 to Rs. 1,270 per q for large and small farms, respectively, with variable costs higher on small farms (Rs. 1,117) than on large ones (Rs. 1,074) per q. The reported benefit-cost ratio stood at 1.88, indicating favorable returns. Potato prices ranged from Rs. 1,860 to Rs. 1,880 per q, with larger farms realizing higher prices. Break-even analysis suggested the need for small, large, and overall farm categories to achieve at least 50.72, 38.02, and 44.14 q of potatoes, respectively, to maintain a no-profit, no-loss condition. The analysis underscores potential profit increase by optimizing human labor, manure, and fertilizer use.

Assessing the true value of ecological restoration in mining areas: An input-output approach based on ecosystem service valuation

Historical unsustainable mining activities have led to significant ecological degradation, emphasizing the importance and urgency of ecological restoration and its effectiveness assessment. This study evaluates the economic, ecological, and social benefits of ecological restoration in the Longshan mining area from the perspective of ecological product value, utilizing an input–output research framework based on ecosystem service valuation. This comprehensive assessment includes consideration of restoration cost inputs, aiming to delve into the effectiveness of ecological restoration projects in mining areas. The findings reveal: (1) The indirect value of the ecological products generated by the ecological restoration is approximately 3.13 times greater than their direct value, highlighting the significantly positive impacts of the project. This underscores the necessity for future assessments of mining area ecological restoration projects to not only focus on direct economic returns but also to thoroughly examine their long-term positive impacts on social structures, environmental quality, and residents’ quality of life. (2) When considered solely from an economic benefit perspective, the input–output ratio of the project is 0.34, insufficient to cover the total cost of the project. However, after integrating economic, ecological, and social benefits, the input–output ratio increases to 1.40. This indicates the importance of exploring the mechanisms through which the indirect values of ecological and social benefits contribute directly to the project’s economic sustainability.

Utilizing Anionic-Pillared Metal-Organic frameworks for low carbon and efficient palladium recovery via constructing a waste-free cycle

The palladium recycling from palladium-containing effluent is crucial with and challenging for the sustainable development of resource recovery, and it has not been investigated by using anion-pillared metal–organic frameworks (APMOFs). Herein, based on the similarity of the anionic pillars (TiF62-/GeF62-/SiF62-) to PdCl42- in size, charge and shape, we demonstrate the porous frameworks Ti-APMOF, Ge-APMOF, and Si-APMOF enriched with exchangeable anionic pillars as the materials for the palladium capture. Ti-APMOF demonstrated the optimal performance, showcasing a palladium recovery capacity of 568.18 mg/g, as well as treating 4180 bed volumes palladium-containing solutions in the fixed-bed experiment after granulation. Moreover, the regeneration solution could be reused to synthesize Ti-APMOF with hardly decrease in performance, realizing the reuse of TiF62- and the Waste-free cycle. Various experiments and characterization results uncovered that the adsorption mechanism was ion-exchange between TiF62- and PdCl42-. The excellent performance of Ti-APMOF is attributed to having more empty orbitals to overlap with the electron-bearing orbitals of PdCl42- and the shape memory effect of the anion pillar was employed to offer selectivity. Additionally, carbon emission and costing analysis suggest that the Ti-APMOF preparation of low carbon emission brings less impact on the environment, and the economic viability of this APMOF-based with an input–output ratio of 170 %. Overall, this work advances a green and viable strategy to recover palladium from spent sources.

Evaluating the Impacts of Integrated Pest Management Techniques on Cotton Crop for Cost-effectiveness as Recommended by Dr. PDKV, Akola, Maharashtra, India

Since cotton is a major crop grown for commercial purposes in the Vidarbha region, Dr. PDKV Akola conducted and recommended the current study, which has several goals, including determining the extent to which recommended technology has been adopted in cotton production, examining input utilization in cotton at varying levels of adoption of IPM technology, calculating the cost-effectiveness and profitability of cotton at varying levels of adoption of IPM technology, and analyzing the barriers to technology adoption. The districts of Akola and Buldhana in Maharashtra State's Vidarbha area served as the study's locations. Three tahasils—Akola, Akot, and Sangrampur—were chosen from these districts, and 120 farmers were chosen from these villages, namely Varvat Khanderao, Khiroda, Sangrampur, Rambhapur, Mandala, Kinkhed Purna, and Khambora. The primary data, which cover the years 2022–2023, were gathered using a straightforward random sample technique. As a result of input usage, the group with a high adoption level utilized the most human labor. All three categories had seed rates, resistant variety usage at the indicated level, and sowing times that were closer to the recommended level. Farmyard manure, at 30.68 quintals per hectare, is most commonly used in the high adopter category. This is followed by medium adopters (16.80 q/ha) and low adopters (14.05 q/ha). The results of applying fertilizer (NPK) indicate that more was applied in all three categories at the recommended level. The highest per hectare yield, 16.64 quintals, was recorded by the high adopter group, followed by 14.01 quintals for the medium adopter group, and 12.71 quintals for the low adopter group. The net returns at Costs "A1," "B2," and "C2" were in the high adopter category, with amounts of Rs. 76557.94/-, Rs. 59781.64/-, and Rs. 50163.47/-. For low, medium, and high adopters, the input-output ratios at cost "A1" were 1.95, 2.05, and 2.27, respectively, but the input-output ratios at cost "C2" were 1.36, 1.43, and 1.58 for these same adopters. High adopter farmers saved Rs. 599.58 and Rs. 854.32/-per quintal at Costs "A1" and "C2" as a result of the per unit cost decrease. IPM technology was discovered to make cotton farming profitable because it reduced the cost of plant protection measures while simultaneously increasing yield. As a result, all cotton growers need to employ IPM technology more widely.