Increase Farm Income Research Articles

Unveiling the Welfare Puzzle: Exploring Fertilizer Subsidy Effects on Farmer's Earnings in Indonesia

This study investigates the unresolved issue of how fertilizer subsidies affect paddy production and farmer income, a critical aspect of Indonesia's agricultural policy that has not been fully understood. By analyzing panel data from 33 provinces between 2019 and 2022 using the Generalized Least Squares (GLS) method, the research explores both income dynamics and productivity. Results reveal that NPK and SP36 fertilizers boost paddy yields by 0.198% and 0.155%, respectively, while UREA and ZA have no significant impact on production. Additionally, rising wages reduce production by 1.343% but increase farmer income by 0.332%. These findings highlight the complexity of balancing productivity with farmer welfare, suggesting that while fertilizer subsidies can enhance yields, they are not a universal solution. Policymakers must consider multifaceted approaches that address both productivity and sustainable income growth to ensure long-term welfare improvements for Indonesian farmers.

Utilisation of Cow Faeces as a Base Material to Making Bokashi Fertiliser to Increase Farmers Income in Balai Hamlet, Taram Village, Harau District

The application of technology in agriculture aims to increase food production through the substitution of traditional farming systems with modern farming systems by utilising more advanced technology. This has an impact on the use of chemical fertilisers and pesticides, which can cause environmental damage and ultimately reduce agricultural productivity. Processing cow dung into organic fertiliser for crops is an applied technology in the framework of implementing zero waste farming technology. One of the benefits that can be obtained is increased income by reducing the cost of artificial fertiliser needs. Cow faeces as cattle farming waste has not been optimally utilised. Cow faeces are usually piled up by farmers behind or near the cowshed, causing a strong smell (air pollution). The results of the activity of making cow feces bokashi organic fertiliser are very beneficial for farmers as a substitute for inorganic fertiliser; The creation of clean cowshed conditions, and environmentally friendly rice fields.

Between Public and Private: A Study of the Rural Fertilization System during the Collectivization Period (1949–1963) – With a Focus on Shanxi Province

Abstract Manure is a critical productive resource for agricultural development. With the advancement of the collectivization movement, household manure accumulation became a key source of fertilizer for collective agricultural operations. However, the process of farmers contributing fertilizer to the collective faced setbacks due to factors such as unreasonable compensation. In response, various localities gradually developed fertilization systems centered around tasks, compensation, and rewards and penalties. The essence of these systems was an economic balance between collective fertilizer use and increased farmer income, generally characterized by considerations for both public and private interests, but prioritizing the public over the private. In the dynamic restructuring of the relationship between labor input and income distribution, political norms and economic measures adjusted to one another. The economic rationality of the peasants interacted with the “egalitarianism” culture in rural areas, reflecting the complex interplay between public and private interests during the collectivization period in rural society.

Enhancing Farm Household Income Through Efficient Arabica Coffee Cultivation In Simalungun, North Sumatera

North Sumatera is the largest producer of arabica coffee in Indonesia with 29%. However, coffee farmers are always faced with various field problems such as high fertilizer prices, declining production and various traditional cultivation practices that cause low productivity levels. So that in maintaining overall cropping it is necessary to know the efficiency of farm management with efficient coffee management it can increase farmer income, improve the quality of life of farmers, absorb labor, reduce costs and create a sustainable system. The method used in this research is to use the Data Envelopment Analysis (DEA) model to determine the efficient value and the Ordinary Least Squares (OLS) model to determine the efficient influence. The results of this research with the DEA model show that from a total of 133 respondents, the inefficient value is 51%, low efficient 25%, medium efficient 13%, and low efficient 11%. While the OLS model shows that the total cost and total income of farmers can significantly affect the efficiency value, the total production of farmers has no influence on the efficiency value. The research findings imply that improving efficiency requires modernizing technology to overcome traditional management such as the use of superior seeds and fertilizer inputs to increase land production. It also requires the support of relevant policies and institutions that are able to guarantee the availability of production facilities such as superior seeds and fertilizers that are easily available to farmers at affordable prices.

Sustainable Maize Storage Technology Adoption in Ghana: Implications for Postharvest Losses, Farm Income, and Income Inequality

ABSTRACTThe Purdue Improved Crop Storage (PICS) bag, a sustainable post‐harvest storage technology, can address the high postharvest losses that are a major threat to economic development, food security and the environment in Africa. However, there is limited empirical research on this technology. This study therefore aims to fill this knowledge gap by analysing the factors influencing the diffusion and adoption rates of PICS bags and estimates the impact of the technology adoption on postharvest losses, farm income and income inequality in the Ashanti region of Ghana. The results show that less than 20% of farmers adopt the PICS bag, suggesting low adoption despite the widespread exposure of 51.75%. The technology adoption rate could be increased by 20% if all the farmers were exposed to it. It reduces postharvest losses by 14.2%–19.1%, increases farm income by 89.7%–91.2% and reduces income inequality by 51.33%. These findings suggest that promoting the technology can stimulate sustainable rural development by improving farmers' welfare.

Farmers Participation in Community-Based Extension Organizations

This study investigated the involvement of farmers in community-based extension organizations as a new approach to alleviating rural poverty in Kaduna State, Nigeria. The research included 437 respondents from 18 communities across 6 local government areas, randomly selected from two agricultural zones. Descriptive statistics were utilized to address the study's objectives, while inferential statistics, including multiple regression, t-tests, and binomial statistics, were employed for data analysis. Findings indicated that the respondents had an average residence duration of 14 years, an average age of 45 years, an average household size of 7 persons, average farm size of 3 hectares, and 11.7 average years of farming experience. A majority (81.5%) of the respondents exhibited a moderate level of participation in their community-based extension organizations, which led to a significant increase in farm income, averaging N92,907.18 after becoming members of CBEOs. Respondents showed a favourable attitude (82%) to participation in the groups they belong with particular interest in the areas of: participation in the group has enhanced my farm output and participation in the group has improved my income, amongst other issues of consideration. Socio-economic characteristics that significantly affect farmers income are; participation score (b = 0.029; t = 1.992), length of community residence (b = 0.078; t = 1.964), age (b = -0.029; t = -2.584), educational status (b = 0.125; t = 2.610), household size (b = 0.054; t = 1.979), farm size (b = 0.068; 3.184) and farming experience (b = 0.068; t = 1.999). It was recommended that respondents’ interest should be jacked up to reflect more interest in the groups they belong by improving on their level of participation.

Agroforestry status, services, and its role in climate change mitigation through carbon sequestration under semi-arid conditions

Agroforestry systems play a dynamic role in sequestering atmospheric carbon to keep the environment safe and provide various benefits such as food, fodder, fuel wood, increased farm income, biodiversity maintenance, and soil conservation. The present study assessed agroforestry's status, services, and role in climate change mitigation through carbon sequestration in three districts of Punjab, Pakistan: Chiniot, Faisalabad, and Sargodha. In the current study, the administrative geographical division, which is the village, union council, Tehsil, and district, was considered for sampling. Field visits were carried out in 175 rural union councils of 14 Tehsils of selected districts to collect socio-economic data through validated questionnaires and tree inventory data to estimate carbon stocks. Research results revealed that most of the respondents in the study area were middle-aged, had about 8–10 years of education, and had less than 5 hectares of landholding. Nearly 34 % to 36 % of farmers earned 359.59 to 1438.37 USD annually, with farming as a major income source. Linear planting was the dominant form of agroforestry, with P. deltoides, D. sissoo, and E. camaldulensis being major tree species. The current number of trees ha-1 was 19–25, while the potential trees ha-1 could be 57–72 in the study area. Across 14 tehsils of selected districts, the maximum total tree carbon stock (8.97 Mg ha-1) and total tree CO2 sequestration (32.21 Mg ha-1) was estimated in Tehsil Lalian of district Chiniot while the lowest total tree carbon stock (1.82 Mg ha-1) and total tree CO2 sequestration (7.34 Mg ha-1) were estimated in Tehsil Faisalabad of district Faisalabad. The results of this study highlight that the eco-friendly advantages of agroforestry can be used to improve approvals and strategies on the selection and management of tree species, along with land use systems for designing effective carbon sequestration projects in Pakistan.

Optimal Planting Time for Summer Tomatoes (Lycopersicon esculentum Mill.) Cropping in Korea: Growth, Yield, and Photosynthetic Efficiency in a Semi-Closed Greenhouse.

In Korea, greenhouses are traditionally used for crop cultivation in the winter. However, due to diverse consumer demands, climate change, and advancements in agricultural technology, more farms are aiming for year-round production. Nonetheless, summer cropping poses challenges such as high temperatures, humidity from the monsoon season, and low light conditions, which make it difficult to grow crops. Therefore, this study aimed to determine the best planting time for summer tomato cultivation in a Korean semi-closed greenhouse that can be both air-conditioned and heated. The experiment was conducted in the Advanced Digital Greenhouse, built by the National Institute of Agricultural Sciences. The tomato seedlings were planted in April, May, and June 2022. Growth parameters such as stem diameter, flowering position, stem growth rate, and leaf shape index were measured, and harvesting was carried out once or twice weekly per treatment from 65 days to 265 days after planting. The light use efficiency and yield per unit area at each planting time was measured. Tomatoes planted in April showed a maximum of 42.9% higher light use efficiency for fruit production and a maximum of 33.3% higher yield. Furthermore, the growth form of the crops was closest to the reproductive growth type. Therefore, among April, May, and June, April is considered the most suitable planting time for summer cultivation, which is expected to contribute to reducing labor costs due to decreased workload and increasing farm income through increased yields. Future research should explore optimizing greenhouse microclimates and developing crop varieties tailored for summer cultivation to further enhance productivity and sustainability in year-round agricultural practices.

Marketing Efficiency and Disposal Pattern of Pomegranate in Maharashtra, India

Aims: This research aims to identify factors that influence marketing efficiency and disposal patterns of pomegranates, with the aim of increasing farmer income and reducing post-harvest losses. Study Design: Vashi market near to Navi Mumbai was selected for the study purpose due to maximum hoarding of pomegranates in the states and from the other states as well. A total 60 Producers and 40 functionaries were asked to respond against a structured schedule which was prepared for the purpose. Place and Duration of Study: The study was undertaken as the mandatory project work programme of MBA (Agribusiness) which was undertaken jointly by International Agribusiness Management Institute and ABC Company, Maharashtra in the month of January-April 2024. Methodology: Different stakeholders, connected to the Vashi market were selected purposively to address the problem statement and the corresponding objectives which were analysed further through descriptive statistics and Acharya Measurement of Marketing Efficiency. Results: Producers were getting more than 60 percent of the share in consumer rupee irrespective of the four major channels. The state share in pomegranate production was also quite significant at the national sphere. Despite that, storage issues, transportation issues and some cases issues of packaging materials generate cost escalation for the stakeholders. It was observed, where farmers were doing primary processing before selling the pomegranate to the next stakeholders were getting good amount of net income from it. Conclusion: It is advised to encourage the development of the farmers’ market where producers can sell directly to consumers and reaping more benefit from their surpluses.

ANALYSIS OF RISK MANAGEMENT AMONG BROILER FARMERS IN KUJE AREA COUNCIL, FEDERAL CAPITAL TERRITORY, ABUJA, NIGERIA

The study assessed risk management among broiler farmers in Kuje Area Council, FCT, Nigeria. The study used three-stage sampling technique and primary data were collected from 67 broiler farmers. The analytical technique involved descriptive statistics and principal component analysis. The results revealed that 79.1% of the respondents were males with a mean age of 42 years, 47.8% had education to secondary level and 53.7% had more than 1-3 years of farming experience with the mean of 5 years and 46.3% of the household size had a range between 1-5 members with a mean of 6 members. The result of the risks encountered by the broiler farmers showed that shortage of feed was the major production risk encountered with a mean value of 3.23, unforeseen funding shortage was the most critical financial risk encountered (3.18), unfavorable weather condition was the most significant environmental risk encountered (3.61), high cost of feed was the highest ranked market risk encountered (3.84). The risk management strategies adopted by the broiler farmers showed that Feed, general health, disease prevention, financial and environmental management strategies were the five factor components left after factor analysis. The study concludes that the risk management strategies were possibly not being properly implemented and adopted; hence, they often continue to encounter these risks. This study recommends that government in collaboration with broiler farmers should make good intervention and policies through the relevant agricultural agencies in order to minimize risk, reduce cost of production and achieve increase farm incomes in the study area.

PENGARUH MODAL DAN HASIL PRODUKSI GABAH TERHADAP PENINGKATAN PENDAPATAN PETANI DI KECAMATAN BANDA MULIA KABUPATEN ACEH TAMIANG

The purpose of this study was to determine the effect of capital and grain yield on increasing farmers income in Banda Mulia District, Aceh Tamiang Regency. The population in this study were all grain farmers in the district Banda Mulia, while the sample taken was 96 farmers with sampling through simple random sampling method. Method of collecting data through questionnaires.The data analysis technique used is multiple linier regression analysis with the calculation of SPSS software. The results showed that the variable capital had a positive and significant effect on the increase in farmer income (with a t count of 2,217and a sig. value of 0,029) and the grain yield variable had a positive and significant effect on the increase in farmer income (with a t count of 5,870 and a sig. value of 0,000). While the variables of capital and productions yields together have a positive and significant effect on the increase in farmer income in Banda Mulia District (with a F count of 280,953 and a sig. value of 0,000).

A Study on Sugar Content Improvement and Distribution Flow Response through Citrus Sugar Content Prediction Based on the PyCaret Library

Despite the increasing attention on smart farms as a solution to rural issues such as aging agricultural populations, a shortage of young farmers, decreased production area, and reduced investment leading to stagnant income, exports, and growth rates, many farms still rely on traditional methods like cultivating tangerines in open fields. Despite this, increasing farm income requires producing high-quality tangerines and selling them at premium prices, with fruit sweetness being a crucial factor. Therefore, there is a need to examine the close correlation between tangerine quality and sweetness. In this paper, we use deep learning with the PyCaret library to predict and analyze tangerine sweetness using data from seven regions in Jeju and 13 comprehensive factors influencing sweetness, including terrain, temperature, humidity, precipitation, sunlight, wind speed, acidity, sugar-acid ratio, and others. Although applying all 13 factors could achieve over 90% accuracy, our study, limited to seven factors, still achieves a respectable 82.4% prediction accuracy, demonstrating the significant impact of weather data on sweetness. Moreover, these optimistic predictions enable the estimation of tangerine quality and price formation in the market for the coming year, allowing tangerine farmers and related agencies to respond to market conditions proactively. Furthermore, by applying these data to smart farms to control factors influencing tangerine sweetness, it is anticipated that high-quality tangerine production and increased farm income can be achieved.

The Use of Biostimulants in Javanese Turmeric (Curcuma xanthorrhiza Roxb.) Cultivation to Increase Production Competitiveness

Abstract The objective of the research is to increase the productivity and quality of javanese turmeric. The research is a descriptive analytic by using information and data from senior agricultural experts and scientific publications. The agribusiness of javanese turmeric has bright prospects, but there is still problem where javanese turmeric cultivated traditionally so the average productivity and quality is low. According to the regulation from Agency of Food and Drug Supervisory, the production of medicinal plant is required to be high quality to ensure the efficacy and safety of medicinal herb. The efforts to increase productivity and quality in the cultivation of javanese turmeric can be done through the combination of using biostimulant and the application of Good Agriculture Practice (GAP). The use of biostimulant will provide more available nutrients for plant growth, increase plant protection from pathogen, and increase soil water holding capacity where it will lead to increase productivity. The combination of using biostimulant and application of GAP will lead to increase productivity and quality of javanese turmeric production where it can meet the requirement of modern medicinal herb industry. Furthermore, it is expected to increase the competitiveness of production, increase farmer income, and lead to develop farmer economy.

Designing Risk Mitigation Strategies for Agricultural Supply Chain: A Supply Chain Finance-Based Approach

Abstract The agricultural supply chain is distinguished from the manufacturing and service supply chains by its complexity and length. These characteristics emphasize the importance of risk management measures for this supply chain, which will increase farmer income, market stability, and food security. This research aims to design risk mitigation strategies, especially demand risk, in the rice farming supply chain in Tana Paser District, Paser Regency, East Kalimantan. Monte Carlo simulation was utilized to predict the average rice demand and conduct sensitivity analysis. Three financial scheme strategies were compared: soft tolling, hard tolling, and contract farming, to assess the best strategy that provides maximum profits for agricultural supply chain actors. From the simulation results, the average predicted value for rice demand was 2.78 tonnes. The optimal quantities of q1 (processed material), q2 (raw material), and q3 (seeds) obtained from sensitivity analysis were 2.2 tons, 2 tons, and 2 tons, respectively. The soft tolling strategy provides maximum profits for all agricultural supply chain players, with a total profit of IDR 17,471,000.00, considering that implementing this strategy involves all supply chain stakeholders in determining the contract decision (q).

The effects of agricultural output market access interventions on agricultural, socio‐economic, food security, and nutrition outcomes in low‐ and middle‐income countries: A systematic review

AbstractBackgroundAn estimated two billion people do not have sufficient access to nutritious food, and nearly half are dependent on small‐scale and subsistence farming. Projections show that the global population is not on track to reach the Sustainable Development Goals. With this in mind, development actors are increasingly seeking to better integrate rural farmers into agricultural markets. This synthesis of the literature can help to inform policy decisions to improve outcomes for smallholder farmers in low‐ and middle‐income countries, and to enable the realization of the Sustainable Development Goals. This work is the most comprehensive and up‐to‐date review synthesizing evidence from 262 interventions.ObjectivesThe purpose of this systematic review is to appraise and synthesize evidence of the effects of five types of interventions facilitating farmers' access to output markets in low‐ and middle‐income countries. We examine how these effects vary across contexts and subgroups. We also identify evidence on program costs and evidence gaps in the literature.Search MethodsThe search of included studies was based on nine major databases/search engines and 25 institutional websites, using a set of English search terms. We also conducted forward and backward citation tracking of literature, published a public call for papers, and contacted key experts.Selection CriteriaWe included studies on the effects of five types of output market access interventions, focusing on participants residing in low‐ and middle‐income countries: (1) Farm‐to‐market transport infrastructure interventions; (2) Access to output market information interventions; (3) New marketplaces or alternative marketing opportunities interventions; (4) Contract farming interventions; (5) Improved storage infrastructure and technologies interventions. We included published and unpublished studies from 2000 onwards, with experimental and quasi‐experimental study designs focusing on relevant outcomes.Data Collection and AnalysisWe screened 52,366 studies, identifying a total of 439 papers representing 289 unique studies on the effects of 262 interventions in 53 countries. Data extraction and risk of bias assessments were completed by two independent reviewers.Main ResultsAll five types of output market access interventions resulted in small‐to‐moderate positive effects on almost all measures of market participation, agricultural production, and welfare outcomes. These improvements occurred through a reduction in transaction costs, adoption of improved practices, greater farm investment, access to higher prices for farmers, greater volume sold, and increased farm income. Effects vary by intervention type. However, the body of evidence is comprised of a large share of included studies with a high risk of bias. Few studies have information on the cost of interventions, and there are gaps in the available evidence.Authors' ConclusionsOutput market access interventions are effective in reducing transaction costs and addressing market failures, thereby leading to higher income levels. Evidence of effects on food security and nutrition is sparse and has not provided conclusive findings. We also found that multi‐component interventions are not necessarily more effective than single component interventions. The specific needs and dynamics of each context should inform the choice of the intervention and approach. Investments in additional research with low risk of selection bias and confounding effects will improve the evidence base, especially for outcomes that constitute gaps in the literature. For example, the effects on quality of agricultural products and group participation are under‐researched, and we did not find any included studies focusing on North Africa or the Middle East. Collecting and reporting information on interventions' cost‐effectiveness will help decision‐makers to prioritize limited resources.

Enhancing Broiler Weight Estimation through Gaussian Kernel Density Estimation Modeling

The management of individual weights in broiler farming is not only crucial for increasing farm income but also directly linked to the revenue growth of integrated broiler companies, necessitating prompt resolution. This paper proposes a model to estimate daily average broiler weights using time and weight data collected through scales. In the proposed model, a method of self-adjusting weights in the bandwidth calculation formula is employed, and the daily average weight representative value is estimated using KDE. The focus of this study is to contribute to the individual weight management of broilers by intensively researching daily fluctuations in average broiler weight. To address this, weight and time data are collected and preprocessed through scales. The Gaussian kernel density estimation model proposed in this paper aims to estimate the representative value of the daily average weight of a single broiler using statistical estimation methods, allowing for self-adjustment of bandwidth values. When applied to the dataset collected through scales, the proposed Gaussian kernel density estimation model with self-adjustable bandwidth values confirmed that the estimated daily weight did not deviate beyond the error range of ±50 g compared with the actual measured values. The next step of this study is to systematically understand the impact of the broiler environment on weight for sustainable management strategies for broiler demand, derive optimal rearing conditions for each farm by combining location and weight data, and develop a model for predicting daily average weight values. The ultimate goal is to develop an artificial intelligence model suitable for weight management systems by utilizing the estimated daily average weight of a single broiler even in the presence of error data collected from multiple weight measurements, enabling more efficient automatic measurement of broiler weight and supporting both farms and broiler demand.

The Impact of Granting of Forest Certificates on Farmers’ Income—Intermediation Effects Based on Forestland Lease

This study examines the impact of granting forest certificates on farmer income. Linear regression and mediating effect models were used to analyze repeated survey data of 505 households in 50 villages in Jiangxi Province in 2017 and 2018. We examined the impacts of granting forest certificates on forestry income and the total income of rural households, taking into account forestland leases. We draw the following conclusions: first, granting forest certificates has a significant positive effect on total household income but not on forestry income. Second, farmers prefer forestland leasing in their behavior. Granting forest certificates can promote forestland lease out, but the effect on forestland lease in is not obvious. Third, granting forest certificates contributes to the increase in total household income through forestland lease out. Our analysis suggests that the government should increase the proportion of granted forest certificates and improve the policies related to the lease of forestland so as to realize an increase in farmer income.

World Bank-Assisted Community-Based Development Project for High-Value Crop Production: Failures and Successes

The government of Punjab has recently implemented a World-Bank-assisted community-based development project for the enhancement of farm productivity in water deficit areas of the Punjab province for 11 years. This paper describes a case study from the Faisalabad division, wherein drip irrigation in conjunction with tunnel technology has improved crop and water productivity of fruits, vegetables and cash crops, optimizing farm incomes. Not only crop yields were optimized, but also there were savings on water (30-45%) and other inputs, reduced incidence of pests and diseases (15-20%), early spring production by 35 days and higher quality of produce, which substantially increased farm incomes (19-41%) along with some environmental benefits. A conservative estimate showed a reduction in unemployment by 5% in project areas. Despite these impressive achievements, a post-project survey showed that 93% of beneficiary farmers abandoned drip irrigation systems, soon after project closure. It emphasized that in the Thal area, only a 4% system rolled back, suggesting the better suitability of the high-efficiency irrigation system for water conservation and productivity enhancement in sandy areas. Post-project farmer-participatory rural appraisal (PRA) shows that drip irrigation was rolled back due to multiple constraints. For example, unsuitable/inefficient design, clogging of drippers/drip lines, non-availability of spare parts, poor response of troubleshooters and top-down approach of the project, prompting better planning and implementation, in the future, for similar projects.

FARManalytics – A bio-economic model to optimize the economic value of sustainable soil management on arable farms

Soil quality is an important determinant of agricultural productivity and environmental quality. Despite its importance, few economic models incorporate sustainable soil management. The objective of this study is to develop and illustrate FARManalytics: a bio-economic model to gain quantitative insight in the economic value of sustainable soil management. First, we defined a comprehensive set of chemical, physical and biological soil quality indicators and quantitative rules on how these indicators respond to farmers’ production management over time. Second, we introduce an economic calculation framework that enables accurate calculation of the contribution of different production management decisions towards farm income using Activity-Based-Costing. The set of soil quality indicators and economic calculations serve as the basis for the bio-economic model FARManalytics, which consists of two modules: (1) the PMcalculator, a module that calculates the impact of current production management on soil quality and farm economics and (2) the PMoptimizer, a module that uses Mixed-Integer-Linear-Programming to maximize farm incomewithin predefined soil quality indicator constraints. The decision variables are the crop rotation, cover crops, manure & fertilizer application and crop residue management. We illustrate the added value of the model by applying it to an extensive and intensive farm type, both on clay and sandy soil. These farm types are derived from the Farm Accountancy Data Network (FADN) in the Netherlands. FARManalytics demonstrates that it is possible to increase farm income with up to €940 ha−1 year−1 on clay soil and up to €683 ha−1 year−1 on sandy soil, while meeting all soil quality targets except subsoil compaction vulnerability. The latter was among the most limiting soil quality indicators for the farm types in this study, together with soil organic matter input, wind erosion vulnerability and plant-parasitic nematodes. FARManalytics integrates the impact of production management decisions on soil quality and economics at farm level. Combined with representative farm types, the bio-economic modeling approach of FARManalytics can provide useful information for policy support. FARManalytics can also be tailored to provide decision support for individual farms, based on data that is commonly available on arable farms at low cost.

Increasing Farmers Income through Demonstration of Climate Resilient Technology

The project TDC-NICRA (National Innovations on Climate Resilient Agriculture) was initiated in KVK, Dhemaji from 2021-22 in Magurmari village of Simen-Chapori Block under the District Dhemaji. The village was affected by flood every year leaving the villagers in a state of destitute. Majority of the farmers of Magurmari village were marginal farmer. Flood, irrigation, water conservation, diseases infestation on plant and occupational migration were the major problem of the village due to which crop failure occurs which leads low income of the farmers. To establish climate resilient agriculture in Magurmari village Demonstration on submergence tolerant rice variety ‘Ranjit sub-1’, medium duration rice variety Numoli, Cultivation of megha turmeric through organic mulching, cultivation of rabi vegetables using paddy straw as organic mulch and Low cost raised bed vermicompost production interventions were taken up in magurmari village. The study revealed that these climate resililient technology weer provd to be boom in magurmari village which help the farmers to increase the farm production and their income to a great extent.