Online Measuring Of Grain Flowrates and Its Measurement Sensitivities with Pitch and Roll Angles

A complete calibration test stand was constructed and instrumented to examine the effect of varying pitch and roll positions on the measurement errors of a microwave solid type flow sensor. Results indicated that measurement errors ranging from 2.50% to 6.82% and 1.80% to 8.86% were obtained by the changing of chute pitch (descending and ascending) and roll angle positions from 1.5° to 4.5°, respectively. Greater measurement errors were found at the low screw auger conveyor speed range. However, the magnitude of errors is within the acceptable margin for any typical wet paddy land topography.

A Tool (SPOLERC) to Guide the Evaluation of Phosphorus Leaching for Agricultural Soil by Using Soil Phosphorus Leaching Change Point in the Lake Xingkai Basin, China

BackgroundAs the key factor of soil P leaching risk assessment, soil P leaching change point (CP) has been widely reported. However, there was no report have clearly described the calculation method of soil P leaching CP value and its automation calculation. Additionally, there was no effective risk grading method performed on the classification of soil P leaching evaluation.ResultsThis study has optimized the calculation process of soil P leaching CP value under two different models. Subsequently, based on the Python programming language, a computation tool named SPOLERC (Soil Phosphorus Leaching Risk Calculator) was developed for soil P leaching risk assessment. SPOLERC not only embedded the calculation process of soil P leaching CP value, but also introduced the single factor index (SFI) method to grade the soil P leaching risk level. Considering the relationships between soil Olsen-P and leachable P fitted by using SPOLERC in paddy land soils and arid agricultural land soils in the Lake Xingkai basin, results have shown that there is a good linear fitting relationship between soil Olsen-P and leachable P; and the CP values were 59.63 and 35.35 mg Olsen-P kg-1 in paddy land soils and arid agricultural land soils, respectively. Additionally, 32.7%, 21.8%, and 3.64% of arid agricultural soil samples are at low risk, medium risk, and high risk of P leaching, and 40.6% of paddy land soil samples are at low risk. ConclusionsThe SPOLERC can accurately fit the split-line model relationship between soil Olsen-P and leachable P, and greatly improve the calculating efficiency for soil P leaching CP value. Additionally, the obtained CP value can be used for soil P leaching risk assessment, which can provide support for the quantitative study of soil P leaching loss and the control technology of soil P leaching loss.

Isolation of Alkalophilic Pectinolytic Bacteria and their Bio Retting Effect on Kenaf Fiber Compositions

Retting is the most limiting process of high-quality cellulosic kenaf bast fiber production which facilitating the separation of useable fiber from the plants' cell wall matrix. Existing traditional water retting approach confronts ineptitude and eutrophication related complications. Aiming to enhance the kenaf bio-retting process, sixty-seven alkalophilic bacterial colonies were isolated from paddy land soil sediments and kenaf retting water. These isolates were subsequently screened, of that two isolates were selected based on hyper qualitative and quantitative pectinolytic enzymatic measures. 16s rDNA gene sequence analysis revealed that both two strains were closely related to Bacillus pumilus species and designated as KRB56 and KRB22. These strains were applied in augmented non-sterile kenaf tank retting to investigate their kenaf retting efficiency and yielded fiber were analyzed for chemical compositions. Results revealed that, stains KRB56 and KRB22 significantly improve the retting process by degradation of 82.78% and 75.28% non-cellulosic gums, respectively comparing with uninoculated treatment niche (62.12%). Based on un retted raw kenaf fiber maximum fiber bundle weight was reported in MTW with 16.04% material losses, while the SW, and FW treatments showed 24.38%, and 21.03% material losses, respectively. These bacterial treated fiber samples showed thinner, smooth, and cleaner fibers surface morphology by SEM indicates sufficient non cellulosic gums (NCGs) removal comparing with URKF. Moreover, yielded fibers were examined for chemical composition, FTIR, XRD test. Results revealed that compare to un retted and un inoculated kenaf fiber, bacterial treated kenaf fiber increases cellulose portions, and their crystallinity index increases 35.50-41.30 % due to sufficient NCGs removal. This study's findings indicate that isolated alkalophilic bacterial strains KRB56 and KRB22 were effectively to be used as kenaf bio retting agents to produce quality kenaf fiber.

ADAPTIVE RESEARCH ON RICE/POTATO ROTATION MODEL (SRI FOR RICE AND MINIMUM TILLAGE METHOD FOR POTATO) IN PADDY LAND OF PHU BINH DISTRICT, THAI NGUYEN PROVINCE

Mô hình luân canh lúa/khoai tây theo phương pháp làm đất tối thiểu (SRI-GMP) được xây dựng và triển khai tại huyện Phú Bình, tỉnh Thái Nguyên trong giai đoạn 2018 - 2019. Nghiên cứu nhằm so sánh giữa canh tác lúa thông thường (độc canh lúa không áp dụng SRI là đối chứng); độc canh cây lúa có áp dụng SRI; và SRI-GMP. Áp dụng SRI-GPM thúc đẩy cân bằng sinh thái, giảm phát thải khí nhà kính, giúp người dân nâng cao nhận thức về bảo vệ môi trường và ứng phó với biến đổi khí hậu. Năng suất khoai tây đạt 25 tấn/ha làm tăng thu nhập từ 4,9 triệu đồng/ha, 210,5 nghìn đồng/ngày công và 1,09 đồng/đồng vốn đầu tư ở canh tác lúa độc canh thông thường lên 141,3 triệu đồng/ha, 644,4 nghìn đồng/ngày công và 2,75 đồng/đồng đối với vốn đầu tư khi áp dụng SRI-GPM tương ứng. SRI-GPM đã tạo ra sự kết nối hợp tác giữa nông dân, doanh nghiệp, nhà khoa học và chính quyền, tạo cơ hội cho nông dân tham gia vào chuỗi giá trị nâng cao giá trị gia tăng và ổn định kinh tế cho người dân địa phương.

Analisis Perubahan Penggunaan Lahan Sawah dari Tahun 2008 – 2018

Paddy field is a natural resource and have an important role in maintaining the stability of the community's food (rice) production. Banyubiru District is one of the biggest contributors in supplying the rice needs of the people in Semarang Regency. So that the research aims to identify the extent and rate of change in the use of rice fields from 2008 to 2018 in Banyubiru District. The research approach used is based on geographic information systems in analyzing satellite images. The satellite imagery used is multi-resolution imagery such as Landsat 5 TM in 2008, Worldview-2 in 2013, and SPOT 6 in 2018. Image interpretation uses a pixel-based classification method with the maximum likelihood method and on-screen digitization found in ENVI 5.3 and ArcGis software. 10.8. The land use classification system used refers to following the Indonesian National Standard 7654: 201. The results of the study explained that there had been a change in the area of paddy land use in the Banyubiru District from 2008 to 2013 of 68 ha and from 2013 to 2018 of 65 ha. In addition, the rate of land use change from 2008 to 2018 was 14.78 ha / year, so this event can be categorized as a class of rapid land change rate.

Linking Long-Term Changes in Soil Salinity to Paddy Land Abandonment in Jaffna Peninsula, Sri Lanka

Soil salinity is a serious threat to coastal agriculture and has resulted in a significant reduction in agricultural output in many regions. Jaffna Peninsula, a semi-arid region located in the northern-most part of Sri Lanka, is also a victim of the adverse effects of coastal salinity. This study investigated long-term soil salinity changes and their link with agricultural land use changes, especially paddy land. Two Landsat images from 1988 and 2019 were used to map soil salinity distribution and changes. Another set of images was analyzed at four temporal periods to map abandoned paddy lands. A comparison of changes in soil salinity with abandoned paddy lands showed that abandoned paddy lands had significantly higher salinity than active paddy lands, confirming that increasing salts owing to the high levels of sea water intrusion in the soils, as well as higher water salinity in wells used for irrigation, could be the major drivers of degradation of paddy lands. The results also showed that there was a dramatic increase in soil salinity (1.4-fold) in the coastal lowlands of Jaffna Peninsula. 64.6% of the salinity-affected land was identified as being in the extreme saline category. In addition to reducing net arable lands, soil salinization has serious implications for food security and the livelihoods of farmers, potentially impacting the regional and national economy.

HUBUNGAN VARIABEL PENDAPATAN PETANI ALIH GUNA LAHAN SAWAH KE KARET (Studi Kasus di Desa Nusaraya Kecamatan Belitang III) KABUPATEN OKU TIMUR

<p><em>Analysis of the Correlation between Factors Influencing Farmers' Income to Change the Function of Rice Fields to Rubber in Nusaraya Village, Belitang III District, OKU Timur Regency. The purpose of this study is (1) to identify the process of land conversion to rubber plants. (2) Calculate how much farmers' income after the conversion of rice fields to rubber plants. (3) Analyzing the level of closeness of the income relationship of farmers after transferring the function of paddy fields to rubber trees on factors that affect income. The method used in this research is the case study method, with data analysis using the Spearman Rank Correlation. Based on the results of research that has been done, the following conclusions can be drawn: (1) Identification of the process of changing the function of paddy fields to rubber plants in Nusaraya Village, Belitang III District, Ogan Komering Ulu Timur Regency is determined by the rubber price factor which is higher than the price of rice . (2) The average income of farmers who convert rice fields to rubber is higher because of the two commodities being cultivated, namely rice and rubber. (3) Factors that are highly correlated in influencing the income of the conversion of paddy fields to rubber plants, namely factors of income and amount of rubber production, income and area of rubber land, income and expenditure of farmers, amount of rice production and area of paddy land, amount of rubber production and rubber land area, the amount of rubber production and farmer expenditure, rubber land area and farmer expenditure, while the age of farmers and farmer education are very small correlated with farmers' income to change the function of rice fields to rubber plant.</em></p>

The potential of combining UAV and remote sensing in supporting precision mapping of irrigation systems for paddy land in urban agricultural areas: study case in the Hoa Vang district, Danang city, Central Vietnam

This research was carried out to test the potential of combining unmanned aerial vehicle (UAV) and remote sensing (RS) to support precision mapping of irrigation systems for paddy land. The study area is an urban/agricultural area of Central Vietnam. The Sentinel-2A imagery acquired on 30 June 2018 was interpreted according an object-based classification method aiming to map paddy land and irrigation systems for the Hoa Vang district; the total accuracy was 91.33% with a Kappa coefficient of 0.87. However, with the spatial resolution from the Sentinel-2A images (20 meters x 20 meters) it was difficult to classify paddy land and water from other objects within small and scattered parcel areas. This research was designed on five experimental flying zones, collecting 2,085 images by the UAV. With the very high spatial resolution data of the UAV, it was possible to clearly identify the boundaries of paddy land parcels, water sources such as rivers and lakes, and other objects such as canals and concrete irrigation systems. This classification derived from the orthogonal images from the five experimental zones using an object-based classification method, correcting the interpretation results of the Sentinel 2A images. Outcomes indicate that, the combination of UAV and RS can be applied to support precision mapping of irrigation systems for paddy land in urban agricultural areas. Nghiên cứu này được thực hiện nhằm thử nghiệm khả năng kết hợp giữa UAV với viễn thám trong hỗ trợ độ chính xác của bản đồ hệ thống nước tưới cho đất trồng lúa ở vùng nông nghiệp đô thị tại Miền trung Việt Nam. Ảnh viễn thám Sentinel- 2A thu nhận vào 30/6/2018 đã được giải đoán bằng phương pháp định hướng đối hướng để thành lập bản đồ hệ thống nguồn nước tưới cho huyện Hòa Vang vào năm 2018, với kết quả độ chính xác tổng số là 91,33% và hệ số kappa là 0,87. Mặc dù với kết quả giải đoán có độ chính xác cao nhưng với độ phân giải không gian của ảnh Sentinel-2A là 20m x 20m rất khó để phân loại được các vùng đất lúa có diện tích nhỏ và phân bố phân tán. Nghiên cứu này đã thiết kế 5 khu vực bay thử nghiệm với 2.085 ảnh để thu thập dữ liệu từ UAV. Có thể thấy rằng dữ liệu ảnh từ UAV với độ phân giải siêu cao có thể nhận diện và phân biệt được một cách rõ ràng không chỉ ranh giới của các thửa đất lúa, hệ thống nguồn nước như sông hồ, mà còn cả những đối tượng kênh mương thủy lợi nhỏ. Kết quả giải đoán các ảnh bay chụp bằng UAV sử dụng dụng phương pháp định hướng đối tượng, nghiên cứu này đã hiệu chỉnh được kết quả giải đoán ảnh Sentinel 2A. Kết quả cho thấy việc kết hợp dữ liệu viễn thám với UAV là hoàn toàn có khả năng sử dụng để hỗ trợ độ chính xác thành lập bản đồ hệ thống nguồn nước cho đất trồng lúa ở vùng nông nghiệp đô thị.

The Conversion of Rice Field Functions in North Badung

Land is the main resource in carrying out development. Reduction of land area, especially agricultural land for development also has an impact on the area of agricultural land in Bali, especially in Badung Regency. The construction of accommodation to support the tourism sector led to the conversion of agricultural land in Badung Regency, which is mostly found in South Badung. North Badung, which does not have as many attractions as those in South Badung, has in fact also experienced the conversion of agricultural land, especially rice fields, as was the case in the Abiansemal and Mengwi Sub-Districts. The purpose of this study is to determine the factors that cause the conversion of paddy fields in the North Badung sub-district and determine the strategy to control the conversion of wetland in North Badung. The technique for determining key informants was done by purposive sampling with a total of 20 people. The analysis technique used is the Interpretive Structural Modeling (ISM) analysis. The results showed that the factors that caused the conversion of paddy fields or wetland in North Badung were economic elements, namely rice farming income, harvest price stability, access to crop marketing and paddy land prices. Social elements, namely family participation in managing rice fields, the influence of modernization on agriculture, the number of family members who are covered and regeneration of rice field management. The third elements is the environment, namely the level of water irrigation of rice fields, pests and diseases and housing needs due to increasing population. The strategy of controlling wetland conversion in North Badung that can be done based on short-term management priorities in the independent sector is the Millennial Farmer program.