Increase Land Productivity Research Articles

The circular economy approach towards integrated and intensive rabbit farming

Abstract Rabbit farming had significant potential for advancing sustainable agricultural development in Indonesia, particularly in improving farmers’ welfare, increasing access to food, and enhancing soil fertility in agricultural lands. Integrating with agriculture led to increased land productivity and enhanced farmer welfare. The economic value of rabbits drove this potential, the availability of feed, and the suitability of the climate, which collectively contributed to efforts in food security. This study explored the application of the linear economy model in an integrated and intensive rabbit farming system managed by a forest community group in Kemutug Lor Village, Banyumas District. The research was conducted using a case study method, with data collected and analysed using a mixed-method approach, combining phenomenological and quantitative methods. Implementing circular economy principles into rabbit farming, integrated with home food gardening, showed positive economic and environmental impacts. Economically, the rabbit farming activities demonstrated an RC ratio greater than one, providing an additional source of income for farming households. Environmentally, this integration contributed to reducing environmental impacts by minimising the direct disposal of waste that could cause pollution and decreasing reliance on chemical fertilisers, indirectly enhancing the environment.

Sustainable patchouli cultivation opportunities in Lhoong Sub-District, Aceh Besar to increase land productivity [Peluang budidaya nilam berkelanjutan di Kecamatan Lhoong Aceh Besar untuk meningkatkan produktivitas lahan

Patchouli is a source of essential oil which is a major commodity in Indonesia, especially in the Aceh region which can be a driver of the local economy. Community service in Lhoong Sub-District, Aceh Besar aims to improve patchouli cultivation through sustainable agricultural practices. Community service was conducted at the Patchouli Industry Center, Lhoong Sub-District, Aceh Besar Regency on August 13, 2024. The tools and materials used include a sprayer, conductor, bucket, eco-enzyme made from fruit peels with a ratio of sugar, fruit or vegetables, and water of 1: 4: 10, POC, and compost made from patchouli waste and surrounding agriculture, 2% baking soda in 1 L of water. Compost, POC, and eco-enzymes function as organic fertilizers while baking soda solution is a natural fungicide to control fungal diseases, such as powdery mildew. The study results showed that although the agroecological conditions in Lhoong Sub-District are suitable for patchouli cultivation, increasing soil fertility is needed to sustain patchouli productivity. Integration of organic inputs and natural disease control methods shows results that can increase the yield and quality of patchouli. However, community motivation in cultivating patchouli plants still needs to be improved, one of which is by providing education and motivation through training programs on effective cultivation techniques with internal inputs to activate the development of the agricultural sector that attracts the interest of local people, especially the younger generation. The approach used to increase the potential for organic farming practices that can increase land productivity and the local economy, ensures the sustainability of patchouli with high yields. Patchouli has a high price in the regional and global markets which can be an opportunity to improve the welfare of the Umong Seribee Village community.

KAJIAN EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN PALA (Myristica Fragrans Houtt)

Land evaluation is the process of assessing land potential for various alternative uses. Land suitability evaluation is very flexible, depending on the needs of the area's conditions to be evaluated. Improvement efforts carried out on land will provide an overview of optimal land use in order to increase land productivity. This research aims to determine the level of land suitability for nutmeg plants in Luari Village, North Tobelo District, North Halmahera Regency. This research method uses a purposive sampling method, a type of sampling technique commonly used in scientific research. The main goal of purposive sampling is to produce a sample that can logistically be considered representative of the population. Identification of soil properties in the field is carried out using boring identification techniques, ring samples, and representative profiles. Soil sampling techniques are carried out using a disturbed and undisturbed method to analyze the physical and chemical properties of soil in the laboratory. Research results the actual suitability of land for nutmeg (Myristica. Fragrans Houtt) is divided into marginally suitable class (S3) covering an area of 167.8 Ha at SPL 01, 02, 03, 04, 05 and unsuitable class (N) covering an area of 37.3 Ha at SPL 06, 07, 08, with limiting factors in the marginal suitability class (S3) in the form of soil depth, lack of P2O5, N-Total, and slope, while the limiting factor in unsuitable land suitability (N) is slope.

Aplikasi Model Fisika Tanah untuk Prediksi Pergerakan Air dan Nutrisi pada Sistem Pertanian Modern

This research aims to develop a soil physics model to predict the movement of water and nutrients in modern agricultural systems. This model includes water flow modeling using the Richards equation as well as nutrient distribution using an advection-dispersion approach. Soil data was obtained through direct measurements in the field and laboratory tests, while the model was validated using field data to evaluate prediction accuracy. The research results show that soil texture and water capacity greatly influence water flow and nutrient distribution in the soil, with fairly high model accuracy values ​​(R² = 0.89 for water flow and MAE = 0.12 for nutrient distribution). The use of this model provides guidance in more efficient scheduling of irrigation and fertilizer applications, supporting sustainable resource management. These findings show that soil physics models can play an important role in precision agriculture to increase land productivity and maintain environmental sustainability

Effect of Maize (Zea mays) and Soybean (Glycine max) Cropping Systems on Weed Infestation and Resource Use Efficiency

Agriculture has consistently improved to meet the needs of a growing global population; however, traditional monoculture farming, while highly productive, is facing challenges such as weed infestation and inefficient resource utilization. Herbicides effectively control weeds. However, their widespread use in weed management has the potential to contaminate soil and water, endangering the ecosystem by damaging non-target plant and animal species. Therefore, the main objective of this study was to evaluate the impact of different maize and soybean cropping systems on weed infestation and resource utilization. The experiment was a randomized complete block design with three replications consisting of three cropping systems: sole maize (SM), sole soybean (SS), and maize–soybean strip intercropping (MSI). In this study, the main difference between SM, SS, and MSI was the planting density, which was 60,000 (SM), 100,000 (SS), and 160,000 (maize–soybean in MSI). We observed that a higher total leaf area index in MSI resulted in increased soil cover, which reduced the solar radiations for weeds and suppressed the weed growth by 17% and 11% as compared to SS and SM, respectively. Whereas the radiation use efficiency for companion crops in MSI was increased by 39% and 42% compared to SS and SM, respectively. Moreover, the increased soil cover by total leaf area index in MSI also increased the efficiency of water use. Furthermore, our results indicated that reduced weed-crop competition increased the resource use in MSI, which resulted in increased crop yield and land equivalent ratio (LER 1.6). Eventually, this resulted in reduced inputs and increased land productivity. Therefore, we suggest that MSI should be adopted in resource-limiting conditions with higher weed infestation as it can simultaneously promote ecological balance and improve agricultural output, thereby reducing the environmental effects of traditional cropping systems.

Economic Analysis, Yield Optimization, and Competition Dynamics of Groundnut/Cereal Fodder Intercropping Systems in Pakistan's Semi Arid Tropics

This research focuses on the intercropping management options including aspects of yield performance, nitrogen contribution to groundnut and economical considerations through the usage of intercrop Maize, Sorghum and Pearl Millet under varying cuttings treatments. Intercropping is effective in increasing land productivity and efficiency in nutrient use and provides economic returns yet the best combinations have not been well explored. Randomised complete block design was used to assess the growth characteristics of plant height, modulation and nitrogen in sole cropping and intercropping treatments in which they make cuts. For sole crop, both, maize and pearl millet produced the highest green fodder yields of 13.40 t ha⁻¹ and 19.10 t ha⁻¹, respectively, and intercropping reduced the productivity for both crops but it was statistically significant, yield recorded in Maize (one cut) groundnut = 3.10 t ha⁻¹. Both nodulation and nitrogen content were maximum in sole groundnut, but they were lower when groundnut was grown in association with other crops. Among all competitive indices, the LER was the highest on maize (LER=1.72), pearl millet and sorghum indicated that intercropping enhances land use efficiency. This was facilitated by the Monetary Advantage Index (MAI) that provided much support to maize-groundnut intercrop, which was easily identified as the most appropriate option for inter-crop revenue generation with an MAI of Rs. 17,800. These results provide evidence for the suitability of maize as the best intercrop for the enhancement of productivity and profitability in groundnut based intercropping systems. This study adds valuable input to sustainable agriculture, particularly in that it expresses the yields and profits from distinct intercrop associations as numeral digits deemed useful by both the scientific and agricultural communities.

Evaluating the Impact of Integrated Nutrient Management Practices on Land Productivity, Crop Residue Decomposition and Abundance of Soil Organisms in a Banana Plantation in Sri Lanka

The fertilization practices heavily influence the decomposition rate of organic materials added to soil. Hence, the nutrient management strategies that aim to improve crop yields may not necessarily support organic carbon accumulation in soil and overall soil fertility. This study investigated how land productivity, crop residue decomposition and diversity of soil organisms were affected by the combined use of chemical fertilizers (CF) and poultry manure (PM) in a banana plantation in Buttala, Sri Lanka. Banana yield, soil properties and decomposition of crop residues were studied in six treatments as, CF1+PM1, CF1+PM2, CF1+PM3, CF2 +PM1, CF2+PM2, and CF2+PM3. CF1 and CF2 correspond with 75% and 100% of recommended CF application rate. PM1, PM2 and PM3 correspond with PM application rates of 0, 2.5 and 5 kg/plant. Crop residue decomposition was assessed using litter bags containing two litter materials as banana pseudo-stem pieces and banana leaves and placed at two depths (surface and at 7.5 cm depth). Litter bags were recovered at 17, 31 and 45 days after placement (DAP) and weight loss of crop residues was determined. The application of poultry manure significantly increased (P<0.01) banana yield at first harvest and decreased (P<0.1) bulk density. Type of material and time of exposure to decomposition had significant effects (P<0.05) on litter decomposition but depth of placement and nutrient management strategy had no significant effect (P>0.05) on decomposition. By 45 DAP pseudo-stems were degraded more than leaves (67.47±13.99 % and 46.90±5.76 %, respectively). The abundance of culturable bacteria and cellulose decomposers in soil and the abundance of soil fauna in decomposing litter were significantly (P<0.1) increased with the PM application to soil. In conclusion, in the studied banana plantation, incorporation of PM in nutrient management increased land productivity and had positive impact on some soil properties, which are important determinants of soil fertility but did not register any effects on crop residue decomposition during the study period.

Spatial-Temporal Analysis of Land Cover Change and Oil Palm Expansion in Gunung Mas

Abstract: The area of oil palm plantations in Indonesia has increased over time. The growth of oil palm plantations even exceeds the percentage of the area of paddy fields, especially in Gunung Mas Regency. This phenomenon is accompanied by the implementation of "Regional Regulation No. 1 of 2020 concerning Land Fire Control". The regulation aims to prevent land fires due to human activities. However, local people believe that burning can increase land productivity. As a result, many people convert their land to plant oil palm, because it is considered to guarantee economic improvement compared to paddy fields. Remote sensing satellite imagery is the basis and main source in the analysis. With spatio-temporal analysis, mapping of land use changes in a certain period of time and its relationship with the distribution of agricultural wet and dry areas. As a result, the proportion of palm oil land in Gunung Mas Regency is higher than the proportion of paddy fields. If oil palm expansion continues in the future, agricultural drought could become more widespread. Keywords: Expansion of oil palm, Land use change, Paddy Fields, Remote sensing, Spatio-Temporal Analysis

Climate Change and Human Activities: Their Roles in Shaping Land Productivity in Northern Nigeria

ABSTRACTThe Northern Nigeria Region (NNR) has historically suffered from land productivity changes due to anthropogenic and climatic factors. The development of methodologies that can evaluate these changes at the pixel level and spatialize the effects of driving factors is a key requisite to provide targeted solutions for land degradation, in a country with population growth and desert advancement. In this study, we applied MODIS series data to assess land productivity changes in the NNR (2001–2021) using NDVI trend analysis. We also used correlation and RESTREND analyses to discriminate between climate and human factors and map their effects. The results indicated that approximately 30.7% of the NNR showed land degradation, whereas 27.1% showed an increase in land productivity. There was a clear spatial pattern, with increasing productivity closer to the northern Nigeria boundary with Niger, and decreasing productivity concentrated in the central and southern parts of the NNR. Anthropogenic factors had a greater impact on land degradation and improvement, compared with rainfall. The climate forcing contributed most to land productivity in the northeastern part of the NNR. Land degradation is mainly associated with overgrazing and unsustainable agricultural practices, which lead to decreasing productivity of grasslands and crops. On the other hand, human influence on improvements involves land abandonment and recovery programs. These results can be used to planning initiatives to better integrate food production with environmental protection in the NNR, contributing to policies to Nigeria achieving land degradation neutrality as soon as possible.

Effect of Integrated Application of Vermicompost and Inorganic Fertilizers on Yield and Yield Components of Bread Wheat in Adami Tulu Jido Kombolcha District of East Showa Zone, Ethiopia

A field experiment was conducted at Adami Tulu Agricultural Research Center during 2022 cropping season to evaluate the responses of vermin compost and inorganic fertilizers on bread wheat (Triticum aestivum). The experiment consists of eight treatments: T1= Control (without fertilizer), T2=50% RNP+4t/ha VC, T3= 50% RNP+ 8t/ha VC, T4=100% RNP, T5= 4t/ha VC, T6= 8t/ha VC, T7= 100% RNP+ 4t/ha VC, T8=100% RNP+8t/ha VC. The result revealed that grain yield affected by combined application of these two fertilizes. There are gradual changes in some major soil parameters have statistically affected by combined application of vermin compost and inorganic fertilizer. Accordingly maximum grain yield (4596.3kg/ha) was recorded from T2 where 50% recommended NP+4t/ha VC where as the lowest grain yield (2109.3kg/ka) was from control plot. Lastly partial budget analysis was also calculated to determine best treatment combination for future farther use. Accordingly maximum net benefit (155,870.50ETB) was obtained from T2 where 50% recommended NP+4t/ha VC was combined. Therefore this treatment was used as best treatment combination for this area, for this crop, it needed for large scale soil fertility management and increasing land productivity.

Using remote sensing data to study anthropogenic land degradation in Khulna Division, Bangladesh for SDG indicator 15.3.1

The Sustainable Development Goals (SDGs) include a goal on land degradation: indicator 15.3.1 (proportion of degraded land over total land). It is not always easy to monitor the SDGs, and remote sensing could be an effective tool for monitoring several SDGs. This study assessed land degradation in Bangladesh's Khulna Division over the past two decades. The Trends.Earth toolset was used to assess land degradation during the baseline period (2001–2015) and the reporting period (2016–2020). Inputs include data from the United Nations Convention on Desertification, and outputs include three sub-indicators: land productivity, land cover change, and soil organic carbon (SOC) stocks. Over the past 20 years, the land use and land cover, land productivity, and SOC content of the study area have undergone substantial changes. A significant change was observed in croplands, water bodies, and built-up areas. Croplands have been converted into settlements and tree cover. Nonetheless, there is an increase in land productivity in the area (>64 %) accompanied by a small percentage of decreasing productivity (approximately 9 %). Accordingly, the SOC in major land areas (84.68 %) is stable with 66,475 tons of carbon lost from croplands. Overall, this area reveals substantial progress in SDG indicator 15.3.1 with a clear transformation of degraded land (from 10.38 % to 8.46 %) into stable land (32.09 %–64.01 %). Land degradation is mostly seen in Khulna, Bagerhat, Satkhira, Kushtia, and Jashore areas. Land covers change for urbanisation, developments, water logging, and salinity intrusion cause land degradation. Despite poor representation of the SOC and normalised difference vegetation index datasets in the waterlogged areas, the Trends.Earth-generated results are informative and stand alone. With the results of this study, policymakers may be able to develop more appropriate land management plans by better understanding the complex interconnections of land change processes.

Production and management practices and technologies used for growing potatoes and tomatoes

Purpose. The aim of this study was to assess production and management practices and technologies used by farmers for tomato and potato production, as well as their productivity. Methodology / approach. This research was conducted in Ziway-Dugda and Tiyo districts of Arsi Zone in Oromia National Regional State of Ethiopia during 2022 cropping season. Data were collected from 400 households in 10 kebeles (local administrative unit) of both districts using Kobo toolbox from respondents through face-to-face interview and descriptive analysis using SPSS version 22. Results. The results of the study showed that farmers in the study areas used different pre-harvest practices. These include cultivation tools and methods, planting locations, tomato staking, potato hilling and irrigation practices to successfully grow vegetables and increase land productivity by rotating different crops on their land. Various diseases, weeds and insects have been observed on their farms, which were managed by cultural, agronomic, mechanical and chemical management practices on tomato and potato farms during the last cropping years in the study districts. Thus, majority farmers in the study areas have used insecticides and fungicides on tomato and potato farms; but most of the weeds were removed by hand weeding. Most tomato and potato farmers have determined the type of chemical and its use from their own previous experience, in consultation with salespeople and extension agents in their regions. However, the study results showed that there are unused production and management practices for tomato and potato cultivation by some farmers. There are many production and management practices and technologies used by farmers to improve vegetable productivity in the study areas, although some farmers did not adopt improved production and management technologies, resulting in reduced production, which requires future interventions to increase their capacity through training and technology adoption. Originality / scientific novelty. This study stands out in the field of production and management practices and technologies used by smallholder tomato and potato producers due to its innovative approach and unique contribution to existing knowledge and skills. While previous studies have examined the relationship between production and management practices and technologies in an agricultural context, particularly focusing on state farms, our study focuses on small-scale tomato and potato producers. Through our thorough case study research and interview structure, we not only deepened our understanding of production and management practices in the agricultural sector, but also provided practical recommendations for improving the efficiency and sustainability of small-scale tomato and potato producers on different farms/fields. Practical value / implications. The findings of this study can be used to develop recommendations for policy makers and researchers on how to improve labour productivity in the future Thus, the policy focuses on developing strategies for producers to adopt modern production and management practices and technologies, raising farmers’ awareness of available technologies, improving management practices and increasing crop productivity in the study area.

Intercropping in Coconut Plantations Regulate Soil Characteristics by Microbial Communities

Intercropping is a commonly employed agricultural technique that offers numerous advantages, such as increasing land productivity, enhancing soil health, and controlling soil-borne pathogens. In this study, Artemisia argyi, Dioscorea esculenta, and Arachis pintoi were intercropped with coconuts and compared with naturally growing weeds (Bidens pilosa), respectively. The regulatory mechanism of intercropping was examined by analyzing the variability in soil properties and microbial community structure across different intercropping modes and soil depths (0–20 cm, 20–40 cm, and 40–60 cm). The results indicate that intercropping can increase the diversity of soil bacteria and fungi. Moreover, as soil depth increases, the changes in microbial communities weaken. Intercropping reduced soil SOM and increased pH, which is directly related to the changes in the abundance of Acidobacteria in the soil. In various intercropping systems, the disparities resulting from intercropping with A. pintoi are particularly pronounced. Specifically, intercropping with A. pintoi leads to an increase in soil potassium and phosphorus levels, as well as an enhancement in the abundance of Bacillus sp., which plays a crucial role in the suppression of plant pathogenic fungi within the soil ecosystem. The results of the correlation analysis and structural equation modeling (SEM) suggest that the impacts of three intercropping systems on microbial composition and soil indicators exhibit considerable variation. However, a common critical factor influencing these effects is the soil phosphorus content. Furthermore, our findings indicate that intercropping resulted in lower soil nitrogen levels, exacerbating nitrogen deficiency and masking its impact on the microbial community composition.

Precision management influences productivity and nutrients availability in dryland cropping system

AbstractPrecision management (PM) aims to reduce inputs while increasing land productivity and economical return and enhancing cropping system resiliency to climate change. This study evaluated how climate (precipitation) and management influenced yields and soil nutrients in a dryland agricultural system. We compared an “aspirational” (ASP) system (no‐till, 4‐year rotation of winter wheat [Triticum aestivum L.], corn [Zea mays L.], proso millet [Panicum miliaceum L.], and fallow/flex) to a traditional “business‐as‐usual” (BAU) system (reduced tillage, 2‐year rotation of winter wheat and fallow: W–F). Phases of each rotation were included yearly throughout the study period (2018–2022) with three replications. The ASP system incorporated PM by dividing each ASP field into three zones (high‐, medium‐, and low‐PM) according to prior yield and topography. Nitrogen was applied at high, medium, or low application rates within those zones. Under favorable precipitation, wheat, corn, and millet yields responded to PM treatments, with yields increasing proportional to N addition. Years with low in‐season precipitation had a significant reduction in wheat and corn yields (2020 and 2022) and complete millet yield failures (2020 and 2021). Low soil organic matter accumulation (0.1%–0.5%) and a reduction in soil macro‐ and micronutrient status suggested that soil nutrient additions are needed to prevent soil‐nutrient degradation. The ASP treatment added a third crop every 4 years and did so without significantly decreasing wheat yield following fallow. The ASP management shows promise as an alternative to BAU in the Great Plains dryland production region.

Smart watering of ornamental plants: exploring the potential of decision trees in precision agriculture based on IoT

Ornamental plant farmers face various challenges due to climate change and environmental stress that significantly affect plant health and growth. This research overcomes these challenges by developing an intelligent watering system that uses internet of things (IoT) technology and decision trees (DTs) algorithms to optimize the use of planting land by ensuring plants grow in the most optimal conditions, both in terms of water and nutrients and increase land productivity. The system is built by integrating various sensors to monitor soil moisture, air humidity, temperature, and light intensity in real-time. The collected data is used to automate watering schedules and provide recommendations on suitable plant species based on the soil nutrient content of nitrogen (N), phosphorus (P), and potassium (K). The use of the DTs algorithm helps in analyzing the data from the sensors and providing recommendations on the most suitable plants for the land. The smart watering system was tested in three zones, each simulating a different watering scenario, and successfully maintained optimal conditions for plant growth in each zone. The machine learning (ML) model with the DTs algorithm can predict the right type of ornamental plants based on the existing land conditions in three watering zones, with an accuracy of 89 %, 90 %, and 91 %, respectively. Furthermore, farmers can follow these recommendations to minimize damage and death of plants so that the level of productivity on the land becomes optimal.

Microbial fertilizers improve soil quality and crop yield in coastal saline soils by regulating soil bacterial and fungal community structure

Salinization is a global problem affecting agricultural productivity and sustainability. The application of exogenous microbial fertilizer harbors great potential for improving saline-alkali soil conditions and increasing land productivity. Yet the responses to microbial fertilizer application rate in terms of rhizosphere soil biochemical characteristics, soil microbial community, and crop yield and their interrelationships and underlying mechanisms are still unclear. Here, we studied changes to rhizosphere soil-related variables, soil enzyme activity (catalase, sucrase, urease), microbial community diversity, and sweet sorghum (Sorghum bicolor (L.) Moench) yield under four fertilization concentration levels (0, 0.12, 0.24, and 0.36 kg m−2) in a saline-alkali ecosystem (Shandong, China). Our results showed that the best improvement effect on soil when the microbial fertilizer was applied at a rate of 0.24 kg m−2. Compared with the control (sweet sorghum + no fertilizer), it significantly increased soil organic carbon (21.50 %), available phosphorus (26.14 %), available potassium (36.30 %), and soil urease (38.46 %), while significantly reducing soil pH (2.21 %) and EC (12.04 %). Meanwhile, the yield of sweet sorghum was increased by 24.19 %. This is mainly because microbial fertilizers enhanced the diversity and the network complexity of bacterial and fungal communities, and influenced catalase (CAT), urease (UE), and sucrase (SC), thereby facilitating nutrient release in the soil, enhancing soil fertility, and indirectly influencing sweet sorghum productivity. Among them, Gemmatimonadota and Verrucomicrobiota may be the key microbial factors affecting sweet sorghum yield, while available potassium, soil urease and available phosphorus are the main soil factors. These findings provide valuable theoretical insights for preserving the health of coastal saline-alkali soils and meeting the agricultural demand for increased yield per unit of land area.

Promoting sustainable agrifood production under climate change: adaptation, returns, and food security implications

ABSTRACT Climate change is challenging sustainable agrifood production and food security, and encouraging farmers’ climate change adaptation can help promote sustainable agrifood production and ensure food security. This study investigates farmers’ climate change adaptation and its impact on agrifood production. We employ the propensity score matching (PSM) model to address the selection bias issue of climate change adaptation and estimate the survey data collected from 415 rice-producing households in rural China. We also estimate the inverse probability weighted regression adjustment (IPWRA) model for robustness check. The empirical results show that farmers’ decisions on climate change adaptation are influenced by household heads’ age, education level, life satisfaction, temperature perception, and transportation conditions. The treatment effect estimations of the PSM model reveal that climate change adaptation significantly increases land productivity by 41.24–44.29% and labor productivity by 55.06–63.72% in rice production. The IPWRA model estimation largely confirms the robustness of the PSM model estimation. We also find that climate change adaptation significantly increases the net returns of rice production. These findings have significant global implications. By understanding the factors influencing farmers’ decisions to adapt to climate change, policymakers worldwide can design targeted interventions to encourage similar practices in other regions. Promoting farmers’ climate change adaptation to increase farm productivity is crucial for ensuring global food security in the face of ongoing climate challenges.

Implementation of Mukhabarah in Productive Waqf Management to Improve Social Welfare in Bireuen

This research examines the implementation of mukhabarah in the management of productive waqf to improve social welfare in Bireuen. Mukhabarah, as a profit-sharing system in agriculture, allows cooperation between nadzir (waqf managers) and cultivators to manage waqf land productively. The research results show that mukhabarah can increase land productivity, cultivator income, and the quality of life of the community. The social impacts of this system include reducing unemployment, increasing agricultural skills, and strengthening social ties. However, the implementation of mukhabarah faces challenges such as a lack of understanding and skills of nadzir, unsupportive regulations, and limited access to capital and technology. The role of the government and Islamic financial institutions is very important in supporting and overcoming these challenges. By increasing the capacity of nadzir and cultivators, developing supportive regulations, facilitating access to capital and technology, infrastructure and market support, as well as collaboration between stakeholders, it is hoped that the implementation of mukhabarah can run more effectively and provide optimal benefits for community welfare.

Productivity and technical inefficiency: A case study of small dryland mungbean farming in East Nusa Tenggara, Indonesia

Mungbeans are one of the important agricultural products for food security in East Nusa Tenggara (NTT) Province, which is one of the driest regions in Indonesia. The low productivity and profitability of mungbean farming in this region are caused by factors that influence agricultural inefficiency. This study was conducted to measure the productivity and technical efficiency levels, as well as investigate the factors affecting farm inefficiency, using the Technical Efficiency Effect Model (TEEM) applied to the frontier logarithmic transcendental production function. The method applied in this research is descriptive qualitative based on survey and interview results through primary and secondary data. Firstly, the results showed that mungbean farming was in the increasing return to scale stage of production and productivity only reached 57% of its production potential, with a technical efficiency level of 66%. Secondly, the factors that positively influence the low productivity and technical efficiency level of mungbean farming are land, seeds, labor, and the interaction between land and labor. Meanwhile, farmer experience and farm training significantly reduce the inefficiency of mungbean farming. It is suggested that increasing land productivity with appropriate and intensive modern technology and improving labor skills are the main strategies for reducing inefficiencies and increasing the income of smallholder farmers in drylands.

Evaluasi Kapasitas Jaringan Irigasi Lanrae Pada Kebutuhan Air Sawah di Kabupaten Barru

Irrigation is an infrastructure to increase land productivity and increase the intensity of annual harvests, the availability of adequately controlled irrigation water is an input to increase crop production. The Lanrae irrigation area which has 1400 Ha of agricultural rice fields that need water, Lanrae is one of the areas located in Nepo Village, Mallusetasi District, Barru Regency. This research aims to meet the needs of irrigation water for farmers who usually experience crop failure due to lack of irrigation water and to increase the potential of existing agricultural products in the Lanrae area in particular and in Barru Regency in general as well as to overcome complaints from farmer groups who experience a lack of water to increase yields. harvest. This research was conducted in the Lanrae Area, Mallusetasi District, Barru Regency, which was carried out from January to March 2017 using quantitative methods. The results of the research on weirs and irrigation in the Lanrae area of Barru Regency showed that the availability of water in the Lanrae river is currently still sufficient to meet the needs for irrigation water in the Lanrae irrigation area and the utilization of irrigation networks for irrigation water services is not optimal and the efficiency of irrigation water use is very low. As well as the use of irrigation water in the upstream areas tends to be excessive and the use of irrigation water in the middle and even downstream areas is very short of water.