Rice Harvest Research Articles

Evaluation of Soil Nutrition Content of Phosphore (P) and Organic-C in Thre Locations of Intensive Rice Field in Balige District

Evaluation of nutrient availability needs to be carried out to determine the ability of the soil to provide nutrients for plant growth, in this case the evaluation of the nutrient content of paddy fields in three locations in the Balige area, namely Huta Namora, Huta Bulu Mejan and Baruara. This is needed as information for the management of paddy fields on the provision of fertilizers in the future, both inorganic fertilizers and organic fertilizers. The purpose of this study was to evaluate the availability of soil nutrients such as organic C, total P, available P and soil pH after rice harvest. This research is a descriptive study by comparing data from the three research locations. In its implementation, 9 sample points of observation were chosen representing the location of each area. Every 3 sample points were mixed into one point of soil samples from the three research locations showing relatively the same results so that in one location there were 3 points of soil samples which were considered as replication 1, 2 and 3 replications. Thus, there were 9 soil samples for the three research locations. Based on the results of laboratory analysis shows that the nutrient content is relatively the same, namely for organic C content with low to moderate criteria, P-total nutrient content is on average between 6.55-7.52 (%) (low to moderate), for P is available between 27,241 – 28,909 with very low criteria. The pH parameter for paddy fields is relatively the same as the neutral criterion. This information becomes quite expensive information for the management of paddy fields in the future. The suggestion is to reduce the use of inorganic fertilizers and switch to the use of biological fertilizers and organic fertilizers.

Dry direct-seeded rice-wheat rotation system: Lower water and carbon footprint and higher carbon production efficiency and net ecosystem economic benefits

ContextSecuring food and energy supplies presents a significant challenge to human survival and progress. The rice-wheat rotation is one of the main food crop systems in China. However, no comprehensive assessment of the water footprint (WF), carbon footprint (CF), carbon production efficiency (CPE), and net ecosystem economic benefits (NEEB) of different rice-wheat rotation systems has been reported. ObjectiveThis study was conducted to assess the productivity, WF, CF, CPE, and NEEB of dry direct-seeded, wet direct-seeded, and transplanted rice-wheat (TR-W) rotation systems. The objective was to provide theoretical guidance for the development of clean and sustainable rice-wheat rotation production technology systems. MethodsWe used a split-plot design, with the main plots being the dry direct-seeded, wet direct-seeded, and transplanted rice planting methods, and the subplots consisting of two rice genotypes. Dry direct-seeded rice was mainly rainfed, ensuring that the soil remained relatively dry so that the soil is kept aerobic during the whole reproductive period of rice. Wet direct-seeded rice continues to keep the soil moist after sowing; the plots were maintained under a water layer of 3–10 cm following the emergence of 4.5 leaves, a condition that persisted until two weeks prior to the rice harvest. Transplanted rice was maintained under a water layer of 3–10 cm following transplanting until 2 weeks prior to the rice harvest. Subsequent to the rice harvest, the above-ground rice stubble was removed, and the ground was tilled with a rotary tiller in preparation for the subsequent wheat planting. ResultsResults demonstrated that the annual yield from the dry direct-seeded rice-wheat (DR-W) rotation system was comparable to the wet direct-seeded rice-wheat (WR-W) rotation system, while significantly lower than that of the TR-W rotation system. However, the WF of DR-W rotation system was 45.96% and 33.94% lower than that of WR-W and TR-W rotation systems, respectively, and the CF was 35.57% and 25.87% lower than that of WR-W and TR-W rotation systems, respectively. Therefore, its water and carbon production efficiencies were higher than those of WR-W and TR-W rotation systems. In addition, NEEB in DR-W and TR-W was comparable and significantly higher than that in WR-W. ConclusionsThe DR-W rotation was a promising rotation system according to the comparable annual yield, lower water and carbon footprints, higher CPE, and comparable or higher NEEB in comparison with other rice-wheat rotation systems. SignificanceWe suggest that the DR-W rotation should be promoted as the primary production mode for the rice-wheat rotation.

Peran Pemerintah Dalam Meningkatkan Kesejahteraan Kelompok Tani Di Kelurahan Ompang Tanah Sirah Kecamatan Payakumbuh Utara.

this research is the inequality of power in the farmer group system which is intertwined with the community so that each farmer group's policies carry out activities in order to achieve an increase in the production of their respective farming businesses. The aim of this research is to increase welfare. The type of research used in this research is field research with a descriptive qualitative approach. Sources of data used in this study were primary data and secondary data with farmer group informants in the village of Ompang Tanah Sirah. Data collection techniques used in this study using interviews, observation, and documentation. Data analysis techniques in this study used data reduction techniques, data presentation and drawing conclusions. The results in this study explain that some of the things that are felt by farmers after the existence of farmer groups are the provision of assistance for rice harvesting machines, business capital assistance, fertilizer assistance, everything becomes easier after the existence of groups as a medium for providing assistance. The most important thing as an indicator of welfare is income, because several aspects of household welfare depend on the level of income. As for the role played by farmer groups in the Ompang Tanah Sirah sub-district, such as being a forum for aspirations or deliberations for groups, farmer groups play a role in increasing people's income by holding economic empowerment, farmer groups play a role as a place to maintain and develop knowledge and mutual cooperation in farming among their members ( production units), hold regular meetings as a medium of communication between members of the Farmer Group, hold various trainings for the community in order to reduce unemployment and increase income.

Effects of Organic Matter Addition on Soil Carbon Contents, CO2 Emissions, and Bacterial Compositions in a Paddy Field in South China

Increasing soil organic carbon (SOC) contents and reducing carbon dioxide (CO2) emissions in paddy soil fields can result in positive impacts on climate change mitigation and soil quality. However, SOC accumulation and its microbial driving factors under enhanced fertilization strategies (e.g., organic matter application) are still unclear. Therefore, we investigated the effects of organic matter addition on SOC variations, CO2 fluxes, and their relationships with soil bacterial compositions and functions through a 6-year fertilizer experiment in rice fields involving two fertilization types, namely chemical fertilizer (NPK) and chemical fertilizer combined with organic matter (NPK+OM). The results showed significantly higher and lower SOC contents (p < 0.05) in the 10–20 cm soil layer under the NPK+OM treatment before rice transplanting and after rice harvest, respectively, than those under the NPK treatment. The lower SOC contents after rice harvest might be due to the great nutrient consumption, resulting in higher rice yields in the NPK+OM than those in the NPK treatment by 6.68 to 32.35%. Compared with NPK, NPK+OM reduced the in-situ CO2 fluxes by 38.70–118.59%. However, the ex-situ SOC mineralization rates were not affected by NPK+OM in the 0–10 and 10–20 cm soil layers. The 16S rRNA sequence indicated a significant increase in the abundance of non-singleton amplicon sequence variants (ASVs) in the NPK+OM treatment scenario compared to those in the NPK treatment scenario. The top three most important soil bacterial phylum influenced by NPK+OM were LCP-89, BRC1, and Rokubacteria in April, as well as Firmicutes, Nitrospinae, and BRC1 in July. Soil Actinobacteria was negatively correlated with the SOC contents in April and July. The results of the present study demonstrate the economic and ecological benefits of the organic matter addition in rice production, as well as the contribution of soil bacteria to SOC accumulation and CO2 emission reduction.

Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images

ABSTRACT Compact polarimetric synthetic aperture radar (CP SAR) reduces fully polarimetric SAR system complexity and expands the imaging swath. Generally, fine classification of crop types relies on many labeled training samples. However, due to the temporal interval of crop phenology and ground environment variations over time, training samples from one dataset usually perform poorly for another. Therefore, in this study, transfer learning is introduced to crop classification to ensure classification accuracy by improving reusability of training samples. A stable and robust inductive transfer learning method, i.e. the Transfer Bagging-based Ensemble Learning (TBEL) algorithm, is proposed. The main idea is to select an adequate number of representative samples from unlabeled datasets to characterize each class in the target domain based on limited labeled samples and construct a classifier set to classify the target domain. This study investigates CP SAR data performance in transfer learning for crop classification. The proposed algorithm in the experimental study is compared with six typical methods (Subspace Alignment (SA), CORrelation ALignment (CORAL), Joint Distribution Adaptation (JDA), Balanced Distribution Adaptation (BDA), Transfer Bagging (TrBagg), and Bagging-based Ensemble Transfer Learning (BETL)). The experimental results show that the crop classification accuracy based on the TBEL algorithm is more stable, with an improved overall classification accuracy of 2–6%. Classifying the same rice harvest stage in the cross-year domain has the highest overall accuracy of 92.2%. Wheat fields in different scenes are also classified. Based on the TBEL algorithm, the overall classification accuracy improves by 1–10% compared with typical methods, with an accuracy of at least 87.6%. Furthermore, by testing the CP mode classification performance over various crops in transfer learning, we find that the circular CP mode performs better than the linear mode in most cases. This conclusion agrees with single-scene applications and was first verified in transfer learning.

Dataset Analysis and Feature Characteristics to Predict Rice Production based on eXtreme Gradient Boosting

Rice plays a vital role as the main food source for almost half of the global population, contributing more than 21% of the total calories humans need. Production predictions are important for determining import-export policies. This research proposes the XGBoost method to predict rice harvests globally using FAO and World Bank datasets. Feature analysis, removal of duplicate data, and parameter tuning were carried out to support the performance of the XGBoost method. The results showed excellent performance based on which reached 0.99. Evaluation of model performance using metrics such as MSE, and MAE measured by k-fold validation show that XGBoost has a high ability to predict crop yields accurately compared to other regression methods such as Random Forest (RF), Gradient Boost (GB), Bagging Regressor (BR) and K-Nearest Neighbor (KNN). Apart from that, an ablation study was also carried out by comparing the performance of each model with various features and state-of-the-art. The results prove the superiority of the proposed XGBoost method. Where results are consistent, and performance is better, this model can effectively support agricultural sustainability, especially rice production.

Faktor-Faktor Yang Memengaruhi Volume Impor Beras Di Indonesia

<em>Rice is one of the agricultural products that experience many problems in providing national food stocks. Constraints on rice stocks in Indonesia have resulted in price increases, especially for low-income people. Insufficient rice production encourages rice imports by the government to meet national needs. The research aims to determine the factors that influence rice imports in Indonesia. The basic research method is a quantitative descriptive method. Secondary data was used in 1993-2022. Data analysis uses multiple linear regression. The results of the analysis show: (1) Together, the variables of rice harvest area, population, rupiah exchange rate, rice consumption, and rice stock have a significant effect on rice imports. (2) The variables of rice harvest area, rupiah exchange rate, and rice stock do not individually have a significant effect on rice imports. On the other hand, the variables of population and rice consumption have a significant effect individually. (3) The variables of population and rice consumption have a positive and significant influence on rice imports. The government is advised to focus on rice import policies by considering fluctuations in domestic consumption and population which have a significant impact, while also monitoring the stability of the rupiah exchange rate to anticipate potential impacts in the future.</em>

Residual Effect of Foliar Application of Nano Fertlizers and Organic Source of Nitrogen on the Productivity and Economics of Zero Tilled Green Pea in Rice-green Pea Cropping Sequence

Background: After rice harvest, the majority of farmers in Manipur leave their land fallow without planting anything, despite the fact that it has a great deal of potential for growing a second crop in the rabi season with the remaining moisture and nutrients. One of the most crucial options for Manipur’s farmers is green pea, which not only boosts their revenue but also makes use of the nutrients and residual moisture in the soil. The current fertilizer application system ignores the carryover effect of the manure or fertilizer applied to the previous crop and instead bases its decisions on the nutritional requirements of the specific crop. Applying organic sources of nutrients to the previous crop greatly benefits the following crop. In light of the aforementioned considerations, an experiment was set up to determine whether the foliar application of nano fertlizers and organic source of nitrogen in the previous kharif rice crop had any lasting effects on the productivity of the following green pea crop. Methods: A field experiment was conducted during the kharif and rabi season of 2020-21 and 2021-22 at Hiyanglam Mayai Leikai in the Kakching district of Manipur, in order to research the residual effect of foliar application of nano fertlizers and organic source of nitrogen on the productivity and economics of zero tilled green pea in rice- green pea cropping sequence. A factorial randomized block design (FRBD) with three replications was used to set up the experiment. Result: The pooled data showed that vermicompost @100% RDN had the highest growth and yield characterictics over the vermicompost @ 75% RDN and 50% RDN. The combinations of nano NPK @ 1.5% + 100% RDN through vermicompost resulted in the highest increase growth and yield attributing characters of green pea and lowest was observed in the control + @ 50% RDN treated plot.

Molecular characterization of Rice ragged stunt virus and Rice grassy stunt virus on Rice in Gianyar, Bali, Indonesia

Rice stunt disease is one of the causes of rice harvest failure. It is caused by the infection of Rice ragged stunt virus (RRSV) and Rice grassy stunt virus (RGSV) infection. Information about disease severity and the molecular characteristics of stunt viruses in Indonesia is still limited. Thus, this research aimed to determine the disease severity and the genetic diversity of rice stunt viruses in Gianyar, Bali. The research method consisted of observation of incidence and disease severity in the field and virus detection by reverse transcription-polymerase chain reaction (RT-PCR) using primers specific for RRSV and RGSV. The observation of the disease incidence and severity were performed in seven districts in Gianyar Regency, Bali, namely Blahbatuh, Gianyar, Payangan, Sukawati, Tampaksiring, Tegallalang, and Ubud. Stunt disease was found in all observation sites. High stunt disease incidence (> 44%) was found in three districts: Ubud, Tampaksiring, and Payangan, while the low disease incidence rate of <10% was found in Blahbatuh and Gianyar Districts. The highest stunt disease severity occurred in Tampaksiring District (60.82%), while the lowest severity occurred in Gianyar District (18.84%). The IR-64 and Ciherang cultivars are vulnerable to rice stunt disease infection. The highest homology of RRSV and RRGV nucleotides was found with Vietnam isolates being >98% and >97%, respectively. The phylogenetic analysis showed that Indonesian isolates of RRSV and RGSV were clustered in the same group as Vietnam isolates.

NUMERICAL ANALYSIS OF RICE GROWTH PHASES IN KARAWANG USING THE GAUSS-JORDAN ELIMINATION METHOD

Indonesia's growth cannot be separated from Indonesia's economic growth. The agricultural sector has a massive and significant impact on Indonesia's economic growth. One of the agricultural products that’s important is rice. Rice is a seasonal crop that is very necessary for human survival. Karawang, one of the districts in West Java Province, which is known as Lumbung Padi City, is the location of the main topic in making this journal. In fact, based on BPS data, the area harvested for paddy fields in Karawang from 2010-2015 was found not to have increased regularly from year to year. This is interesting to discuss because the rice harvest area is expected to increase regularly to support Indonesia's economic growth. Of course, this is because the rice harvest area will affect the amount of rice produced in the rice fields. By ignoring other internal and external factors of rice growth, this journal will only focus on rice harvest area based on rice growth phases (vegetative 1, vegetative 2, and generative) and accumulated harvest area using the Gauss Jordan elimination method. Calculations are carried out to determine the possibility of farmers to predict the maximum amount of rice production and avoid losses in purchasing materials to support rice growth

Optimization of Rice (Oryza sativa) Crop in Simalungun District using Quadratic Programming Wolfe Model and Exterior Penalty Function Method

Optimization is a way of optimizing the objective function while still paying attention to existing constraints. The aim of this research is to form a mathematical model to optimize the average production of lowland and field rice in Simalungun Regency and to complete the model using Wolfe model quadratic programming and the exterior penalty function method. The mathematical model in this research is a nonlinear model created using the least squares method. Quadratic programming solves nonlinear problems by turning them into linear problems using the Kuhn Tucker condition and linear problems are solved using the Wolfe model. Meanwhile, the exterior penalty function method solves limited (constrained) nonlinear problems into unlimited (unconstrained) nonlinear problems. Based on the calculations of the two methods, optimal results were obtained for both the Wolfe quadratic programming model and the exterior penalty function method, where the average production of wetland and field rice in Simalungun Regency was 203.1925 tonnes with a wetland rice harvest area of 90.077 hectares and a field rice harvest area of 13.092. hectare. Optimization testing using this algorithm can be used as a basis for related parties such as the community and government in developing productivity. The implication of this research is an increase in harvested area and average rice production, in this case maintaining productivity stability.

Nitrous Oxide Emissions during Cultivation and Fallow Periods from Rice Paddy Soil under Urea Fertilization

Rice cultivation serves as a significant anthropogenic source of methane (CH4) and nitrous oxide (N2O). Although N2O emissions remain relatively small compared to CH4 emissions, they are remarkably affected by nitrogen-fertilized soil conditions during rice cultivation. While numerous studies have investigated nitrous oxide emissions in response to nitrogen fertilization, existing research assessing nitrous oxide emissions based on nitrogen fertilizer levels has often been limited to cultivation periods. Therefore, there is a need for comprehensive analyses covering the entire year, including the dry periods, to address nitrous oxide emissions as an important source throughout the entire agricultural cycle. In this case study, we investigated the characteristics of N2O emissions in a central region of South Korea, where a single rice-cropping cycle occurs annually over a span of three whole years, from May 2020 to May 2023. We investigated the impact of variations in temperature and soil moisture on N2O emissions during rice cultivation and fallow periods. In this context, we attempted to discover the complex dynamics of N2O emissions by comparing longer fallow periods with the rice cultivation periods and extended non-dry periods with irrigated periods. We discovered that the greater contribution of cumulative N2O emissions during the fallow period made a much greater contribution (up to approximately 90%) to the whole-year N2O emissions than those during the rice cultivation period. During the fallow period from rice harvest to rice planting in the following year, variations in N2O emissions were associated with high-flux events after rainy periods on dry soils. This highlights the considerable influence of soil moisture content and weather conditions on N2O emissions during the fallow period. This affects high emission events, which in turn significantly impact the cumulative emissions over the entire period. We underscore that assessing N2O emissions solely based on the rice cultivation period would underestimate annual emissions. To prevent underestimation of N2O emissions, periodic gas collection throughout a year covering both rice cultivation and fallow phases is required in alignment with the monitoring of different temperature and soil moisture conditions. We captured statistical differences in cumulative N2O emissions due to nitrogen fertilization treatments across the three years. However, no significant difference was observed in the three-year average emissions among the different (one, one-and-a-half, and double) nitrogen fertilization treatments, with the exception of the control treatment (no fertilization). Based on the findings, we recommend at least three whole-year evaluations to ensure the estimation accuracy of N2O emissions under different nitrogen fertilization conditions. The findings from this study could help prepare the further revision or refinement of N2O emission factors from rice cultivation in the national greenhouse gas inventories defined by the inter-governmental panel on climate change (IPCC).

Yield and nutrient composition of forage crops and their effects on soil characteristics of winter fallow paddy in South China.

In terms of providing additional feeds and improving the soil fertility, planting forage crops during the fallow seasons is an effective strategy to promote resource utilization. The objective of this research was to compare the effects of planting different forage crops on the yields and nutritive compositions of forage and soil properties of winter fallow paddy in southern China. Five forage crops, including alfalfa (Medicago sativa, AF), common vetch (Vicia sativa, CV), milk vetch (Astragalus sinicus, MV), smooth vetch (Vicia villosa, SV) and Italian ryegrass (Lolium multiflorum, IR), were planted by monoculture on the winter fallow paddy in 2017-2018 (season 1) and 2018-2019 (season 2), respectively. The dry matter yield of IR was significantly higher than those of AF, CV, SV and MV (P<0.05). The crude protein yield of IR was significantly higher than those of AF, CV and MV (P<0.05). The neutral detergent fiber and acid detergent fiber contents of CV, SV and IR were significantly lower than those of AF and MV (P<0.05). Forage crops significantly affected the culturable microbial population of soils (P<0.05). The bacteria, actinomyces and fungi numbers on IR were the highest, while azotobacter number was the lowest. The catalase, acid-phosphatase and invertase activities of IR soil were the lowest. The numbers of bacteria, actinomyces and fungi of IR soil were the highest. IR and SV were the best crops to obtain forage and improve the soil. When producers pursue higher forage yield, we recommend planting Italian ryegrass. If the producers want to improve soil characteristics, smooth vetch is the most suitable plant. These results provide useful information to rice growers for cropping management when growing forage crops (based on the yield and nutritional value) or green manure (based on improving the soil fertility) as an alternative to late rice harvest.

Conservation tillage and residue management practices in rice improves stress tolerance of succeeding vegetable pea by regulating physiological traits in Eastern Himalayas

The majority areas of valley lands in the Himalayan foothills remains fallow after the rice harvest. Recycling of plant biomass with conservation tillage may help in enhancing soil water availability, crop physiological function and productivity under moisture stress hill environments of this region. The present study focused on three tillage practices viz., no-till (NT), minimum tillage (MT) and conventional tillage (CT) and five nutrient management (NM) practices viz., 100 % NPK, 50 % NPK, 50 % NPK + in-situ residue retention (ISRR), 50 % NPK + weed biomass (WB) and 50 % NPK + green leaf manure (GLM) in rice and their residual effect on physio-biochemical properties, yield attributes and produce quality traits of succeeding pea varieties (Arkel and Prakash). Results revealed that total leaf chlorophyll content in vegetable pea varieties Arkel and Prakash was 12.0 and 11.5 % higher under no-till (NT) followed by 11.9 and 10.6 %, respectively under minimum tillage (MT) as compared to conventional tillage (CT) in rice. Similarly, application of 50 % NPK+ green leaf manure (GLM) and 50 % NPK+ weed biomass (WB) enhanced total leaf chlorophyll content in pea by 6.50–8.17 % and 3.93–5.48 % for pea varieties Arkel and Prakash, respectively. Photosynthetic rate and leaf dry weight were found 40.4 and 80.2 % higher under MT in Arkel whereas transpiration rate (E) and shoot dry matter were 33.1 and 19.3 % higher in Prakash under MT. Leaf water potential and root-to-shoot ratio were found 22.6 and 16.5 % higher in Prakash under MT and NT compared to CT respectively. Leaf temperature and stomatal conductance were 8.67 % lower and 9.8 % higher under MT in Prakash respectively as compared to CT, whereas 4.8 and 13.0 % higher under 50 % NPK +GLM and 50 % NPK+WB as compared 100 % NPK. Leaf cell viability was 22.5 and 20.1 % higher under MT whereas leaf MDA content was 29.9 and 28.3 % higher under MT in Arkel and Prakash respectively. Leaf relative water content was significantly higher to the tune of 25.7 and 22.4 % under NT compared to CT whereas leaf cell membrane integrity was 41.3 and 40.4 % higher under NT for Arkel and Prakash. Higher pod protein was noticed under MT along with 50 % NPK+GLM (13.1 %), whereas total soluble sugar was recorded highest under NT with 50 % NPK+GLM (21.1 %) in Prakash and MT with 50 % NPK+GLM (18.3 %) in Arkel. However, in both varieties, lower TSS was recorded under CT and with 50 % NPK (14.2 and 11.2 %) and the reducing sugar was maximum under the application of 50 % NPK+WB as compared to 100 % NPK alone. For both varieties of pea, green pod yield was recorded highest under MT (4.76 & 5.89 t/ha) as compared to CT (4.76 & 6.17 t/ha) and NT (4.76 & 5.55 t/ha). While 50 % NPK+WB has recorded significantly highest green pod yield of Arkel, 50 % NPK+ GLM has caused the highest yield of Prakash. PCA executed on physiological traits explained the total variability to the tune of 85.50 %, thereby extracting three PC's viz., PC 1 (62.63 %), 12.58 %) and 10.28 %, respectively. Thus, the adoption of MT in rice followed by NT in winter pea with the application of 50 % NPK+WB or 50 % NPK+GLM is promising for better physiological traits and subsequently favoring the grain yield of pea under stressful hill environments of Eastern Himalaya.

MENUMBUH KECINTAAN PEKERJAAN PERTANIAN BAGI GENERASI Z (GEN-Z) PADA LAHAN TERASIRING DENGAN SMART MACHINE PORTABEL MULTIFUNCTION

Education has shifted the work mindset of Generation Z (Gen-Z) in mountainous areas. A fairly good education, for example a high school/vocational school graduate, has shifted the desire to become a worker in the non-agricultural industrial sector, leaving behind the agricultural work that his parents started. From the preliminary survey, the main reason is actually the hard work of being a rice farmer on mountain slopes or terraced land. Many agricultural machines (agricultural tools) that have been created, starting from plows, rice harvesters and rice threshers, are still dominated for agricultural land in flat areas. This can be seen from the size of the existing machines which are very large and very difficult to use on terraced land. The application of smart machine technology is to make the rice harvesting process easier. The aim of this service is to foster a love of agricultural work for Gen-Z and to create food self-sufficiency. This service methodology starts from designing, manufacturing rice cutting and threshing machines, simulating and practicing. Then they will be taken to the service location to socialize on the use of the machine and the benefits that will be obtained by farmers. At the time of this service implementation, the service location in Tlahab Lor Village, Karangreja District, Purbalingga Regency, did not yet have rice ready to be harvested, therefore the service implementation only showed how the machine worked. It is said to be a smart machine because this machine has 3 (three) functions, namely cutting rice stalks, threshing rice and its main function is cutting grass. This machine is also portable because it only weighs less than 15 kg so it can be carried by itself to the harvest location in a terraced rice field model

Enhancing the Efficiency of Rice Harvesting: A Study on the Design and Evaluation of Ripper Type Rice Harvesters

This article primarily examines the optimization of the Indonesian rice combine harvester PT Om Hwahaha (Futata) to increase the efficacy of crop processing and harvesting. The optimization method includes inserting binding mechanisms into the threshing and cleaning instruments, as well as modifying the collecting and steering systems to support vertically bound multiple outputs. Performance is measured by doing trials that involve adjusting the forward speed of the machine, the average weight of the item, and the height at which the weight is put for spherical objects. The findings revealed that utilization efficiency peaked at 98.80% with a forward speed of 1.65 km/h, a weight of 3 kg, and a height of 30 cm. The measures assessed under these conditions were as follows: 722 bundles were generated per hour, grain loss was 2.83%, field capacity was 0.189 hectares per hour, efficiency was 81.8%, surplus power was 11.07 kilowatts, and energy consumption. is 58.57 kilowatt-hours per hectare. This advancement shows the prospect of improved efficiency, less losses, and better energy preservation in rice harvesting techniques.

Performance test of the combine harvester machine for rice harvesting in Indrapuri, Aceh Besar District

Paddy is a very important agricultural crop for mankind because more than half of the world’s population and almost the entire population of Indonesia depend on this plant as a source of food. Harvesting is a very important process in rice production, because in this process it is alleged that the level of yield loss is very high. Paddy harvesting can be done by modern farming (combine harvester) and conventional (manual), therefore it is necessary to know the effectiveness by analyzing the performance and efficiency of the two ways. This study aims to examine the performance of rice harvesting using a combine harvester and conventional machines in Indrapuri District, Aceh Besar District. The results of the combine harvester research show that the theoretical field capacity is 0.42 ha/hour, the effective field capacity is 0.25 ha/hour, efficiency is 60.03%, the working capacity is 743.54 kg/hour, the fuel consumption is 10.25 L/hour, and yield loss of 1.31%. Conventional harvesting shows a field capacity of 0.0049 ha/hour/person, thresher working capacity of 172.6908 kg/hour, thresher efficiency of 98.5417%, thresher fuel consumption of 0.5147 L/hour, and the percentage of yield loss is 3.8776%. Based on data on harvesting capacity, the combine harvester shows a better performance then conventional harvesting.

Reduction of soil methane emissions from croplands with 20–40 years of cultivation mediated by methane-metabolizing microorganisms

Reducing carbon emissions from cropland ecosystems is an important measure to achieve early carbon neutrality. However, how methane-metabolizing microorganisms affect methane emissions from cropland soils of different planting years is not known. In this study, we determined methane emissions from cropland soils of different tobacco-rice rotation years after rice harvesting. By mean of functional gene sequencing, we analyzed the relationship between methane-metabolizing microorganisms and methane emissions, and revealed the microbial mechanism of action for methane emissions from cropland soils. The results showed that the soil organic carbon content was higher (P < 0.05) and methane emissions were lower (P < 0.05) in cropland cultivated for 20–40 years (PY20). Soil methane emissions from PY20 cropland were reduced by 30.11% and 14.58% (P < 0.05) compared to cropland planted for 10–20 years and more than 40 years. The alpha diversity of methanogens communities was significantly lower in PY20 cropland soils, whereas the methanotrophs communities alpha diversity did not differ significantly between planting years. The methanogenic genus Methanocorpusculum was significantly and positively correlated with methane emissions. The relative abundance of Methanocorpusculum in PY20 cropland soil was lower (P < 0.05), and the relative abundance of Methylocystis, a type II methanotrophs with greater oxidizing capacity for methane, was higher (P < 0.05). Reducing PY20 cropland soil methane emissions by reducing methane production and enhancing methane oxidation. At the same time, more methanotrophs in PY20 cropland soil formed a molecular interactions network with methanogens. Planting years altered the diversity and composition of methane-metabolizing microbial communities and the interactions of different taxa, which in turn affected methane emissions. Cropland soils that have been cultivated for 20–40 years have lower methane production capacity and higher methane oxidation capacity, resulting in lower methane emissions. This study provides a scientific reference for the microbial action mechanism of soil methane emission from cropland under different planting years, with a view to contributing to carbon neutralization in cropland ecosystems.

Dynamic load distribution property of transmission system during rice harvesting process

The average time between failures of Chinese combine harvester was far below the advanced combine harvester in Europe and America. A load test system was designed and built on the transmission structure of combine harvester. The dynamic load of the transmission structure was tested on rice harvesting in the field and used to compare with calculated values of maximum load capacity. The damage mechanism and load distribution of transmission structure would be obtained. The test results showed that the average and peak power consumptions of each working part increased with the increase in the speed of the combine harvester. As the stubble height increased, the average and peak power consumptions of each component correspondingly increased with the increase in the load on the entire machine. The power consumptions of the left and right half shafts of the chassis gradually increased, whereas the power consumptions of the other components did not change significantly. The power consumption of the intermediate shaft ranged from 29.53 to 35.92 kW, and the average power consumption was 34.03 kW when harvesting was done at full load in the field. The limit power consumptions of the left and right half axles of the chassis were 9.35 and 11.55 kW.

Determinants of rice harvest allocation choices in several agroecosystems of Indonesia

Determinants of rice harvest allocation choices in several agroecosystems of Indonesia