scholarly journals Pemberdayaan Masyarakat Tani Melalui Usaha Mandiri Tepung Beras di Nagari Bukit Tandang Kec. Bukit Sundi Kab. Solok

2018 ◽  
Vol 2 (2) ◽  
pp. 61
Author(s):  
Ifmalinda Ifmalinda ◽  
Ayendra Asmuti ◽  
Moh. Agita Tjandra ◽  
Azrifirwan Azrifirwan ◽  
Iriwad Putri
Keyword(s):  
Working Hours ◽  
Weather Conditions ◽  
Rice Flour ◽  
Rice Production ◽  
Group Data ◽  
Crop Development ◽  
West Sumatra ◽  
Disk Mill ◽  
Wet Weight ◽  
Fixed Quantity

ABSTRAK: Nagari Bukit Tandang khususnya Jorong Parit merupakan daerah sentra pengembangan tanaman pangan khususnya tanaman padi di Kabupaten Solok dan Kabupaten Solok juga merupakan sentra produksi padi dan beras di Propisinsi Sumatera Barat yang terkenal dengan beras Soloknya. Kondisi dengan penen padi dan produksi beras yang melimpah ini menggambarkan bahwa daerah Nagari Bukit Tandang relatif potensial untuk dikembangkan sebagai distributor dan usaha mandiri tepung beras di Kecamatan Bukit Sundi dan Kabupaten Solok. Progam pengabdian masyarakat ini dilakukan dengan metode andragogi. Metode ini dilakukan dengan cara pemberian materi dengan penyuluhan dan melakukan praktek secara bersama-sama.Kegiatan yang dilakukan adalah 1) penyuluhan dan praktek penggunaan alat penepungan, 2) penyuluhan dan praktek penggunaan alat pengering semi mekanis menggunakan energi tenaga surya, 3) penyuluhan dan praktek penggunaan plastik kemasan dan alat sealer. Kegitan ini dilakukan pada kelompok tani Harapan Jaya. Data diperoleh dari hasil penepungan, pengeringan secara manual dan menggunakan alat. Proses penepungan dengan disk mill mampu memproduksi tepung sehari 20-30 kg/hari (delapan jam kerja/hari) berat basah tepung beras. Sedangkan menggunakan lesung dapat memproduksi tepung beras 5-6 kg/hari (delapan jam kerja/hari). Hasil pengeringan tepung dengan rumah pengering dapat meningkatkat kualitas tepung lebih bersih dengan kuantitas tepung yang tetap, apabila dibandingkan dengan pengeringan yang dilakukan di para-para menggunakan talam. Satu hari rumah pengering dapat mengeringkan tepung 2- 3 kali. Jika cuaca cerah rumah pengering dapat mengeringkan tepung 4 kali, sedangkan kondisi cuaca tidak cerah, hanya mampu mengeringkan tepung 2 kali penepungan. Rata-rata rumah pengering mampu mengeringkan tepung dalam sehari 10kg/hari. Sedangkan menggunakan para-para dan talam hanya mampu memproduksi 4 kg/hari.Kata kunci: Teknologi Pertanian, Tepung Beras, Pengemasan, Bukit Sundi Empowering Farmers Through Business Independent Rice Flour in Nagari Bukit Tandang Kec. Bukit Sundi Kab. SolokABSTRACT: Nagari Bukit Tandang specifically Jorong Parit is a center of food crop development especially rice plants in Kabupaten Solok, also the center of rice and rice production in West Sumatra Province which is famous for its Solok rice. This condition with abundant penen rice and rice production illustrates that the Nagari Bukit Tandang area is relatively potential to be developed as a distributor and independent business of rice flour in Kecamatan Bukit Sundi and Kabupaten Solok. This community service program is carried out using the andragogy method. This method is carried out by giving material with counseling and practicing together. The activities carried out were 1) counseling and practice of using shading tools, 2) counseling and practice of using semi-mechanical dryers using solar energy, 3) counseling and practice of using plastic packaging and sealer tools. This activity was carried out on the Harapan Jaya farmer group. Data is obtained from the results of shading, drying manually and using tools. The process of holding with a disk mill is able to produce 20-30 kg / day (eight hours of work / day) flour starch wet weight of rice flour. While using mortar can produce rice flour 5-6 kg / day (eight working hours / day). The results of drying the flour with the dryer house can increase the quality of the flour cleaner with a fixed quantity of flour, when compared with the drying carried out whith use tray. One day drying house can dry flour 2-3 times. If the weather is sunny, the drying house can dry the flour 4 times, while the weather conditions are not bright, it is only able to dry the flour 2 times the sinking. The average drying house is able to dry flour in a day of 10kg / day. While using tray can only produce 4 kg/day.Keywords: Agricultural Technology, Rice Flour, Packaging, Bukit Sundi

KOMBINASI BOKASHI DAN PUPUK BUATAN TERHADAP PRODUKSI PADI YANG DITANAM SECARA JAJAR LEGOWO

Jurnal BiBieT ◽  
2016 ◽  
Vol 1 (1) ◽  
pp. 9
Author(s):  
Dewi Rezki
Keyword(s):  
Grain Yield ◽  
Organic Material ◽  
Agricultural Land ◽  
Rice Production ◽  
High Rate ◽  
Grain Production ◽  
Rice Plants ◽  
West Sumatra ◽  
Npk Fertilizer ◽  
Synthetic Fertilizers

<p align="center"><strong>ABSTRAK</strong></p><p align="center"><strong> </strong></p><p>Tingginya laju pertumbuhan penduduk dan alih fungsi lahan pertanian, menyebabkan perlunya dilakukan upaya untuk meningkatkan produksi beras. Sedangkan produksi yang diperoleh dari lahan pertanian yang ada belum mencapai hasil yang optimal.  Upaya yang perlu dilakukan  untuk meningkatkan produksi padi diantaranya adalah memperbaiki tingkat kesuburan tanah dan metode budidaya tanaman padi.  Penelitian ini bertujuan untuk memperoleh kombinasi yang paling tepat antara bahan  organik kaya sumber hayati (BOKASHI) dan pupuk NPK terhadap produksi padi yang ditanam secara jajar legowo.  penelitian dilakukan di Kecamatan Pulau Punjung Kabupaten Dharmasraya Provinsi Sumatera Barat pada bulan Juli-Desember 2015.  Penelitian menunjukkan bahwa kombinasi bokashi + 75 % pupuk buatan memberikan hasil gabah 6.3 ton/Ha, sementara produksi padi tanpa penambahan bokashi + 100 % pupuk buatan memberikan hasil gabah 3.9 ton/Ha, dengan demikian dapat disimpulkan bahwa penambahan bokashi dapat meningkatkan produksi gabah sebanyak 2.4 ton/Ha.  Penambahan 2 ton/Ha bokashi yang ditanam secara sistem jajar legowo pada tanaman padi berpengaruh nyata terhadap pertumbuhan dan produksi tanaman padi dan dapat mengurangi penggunaan pupuk buatan sebanyak 25 %.</p><p>Kata Kunci : Bokashi, Produksi Padi, Jajar Legowo, Kombinasi</p><p> </p><p align="center">ABSTRACT</p><p align="center"> </p><p>The high rate of population growth and the conversion of agricultural land, causing the need for efforts to increase rice production. While the production obtained from existing agricultural lands yet to achieve optimal results. Efforts should be made to increase the rice production of which is to improve soil fertility and method of rice cultivation. This study aims to obtain the most appropriate combination of organic material rich in biological resources (Bokashi) and NPK fertilizer on rice production are grown Legowo row. Research conducted in the District Pulau Punjung Dharmasraya West Sumatra province in July to December 2015. The study showed that the combination of Bokashi + 75% of artificial fertilizers provide grain yield of 6.3 tonnes / ha, while rice production without adding Bokashi + 100% synthetic fertilizers provide grain yield 3.9 tonnes / ha, thus it can be concluded that the addition of bokashi can increase grain production as much as 2.4 tons / ha. Addition of 2 tons / ha planted Bokashi system Legowo row in rice plants significantly affect the growth and production of rice plants and can reduce the use of artificial fertilizers as much as 25%.</p><p>Keywords: Bokashi, Rice Production, Jajar Legowo, Combination</p>

scholarly journals PENGEMBANGAN PRODUK SALA LAUAKDENGAN TEKNIK GELATINISASI

2019 ◽  
Vol 8 (2) ◽  
pp. 259
Author(s):  
Elfrimo Dwi ◽  
Anni Faridah ◽  
Ernawati .
Keyword(s):  
Research Method ◽  
Rice Flour ◽  
Fat Content ◽  
Traditional Food ◽  
Oil Absorption ◽  
Starch Granules ◽  
Organoleptic Quality ◽  
Is Research ◽  
West Sumatra

Sala lauak is a traditional food that is easily found in West Sumatra. The development of sala leak products is carried out by reducing oil using gelatinization techniques. The process that occurs in gelatinization is when the starch granules are given water and heat, the starch granules will expand. This study aims to (1) develop sala lauak products by gelatinization techniques on oil absorption, (2) determine the organoleptic quality of sala lauak products by gelatinization technique processes, and (3) determine the fat content of sala lauak products by gelatinization technique processes. This research method is Research and Development (RnD). The results of this study in the organoleptic quality produced by sala lauak with pragelatinization flour showed a significant influence on the quality of inner texture, outer texture, taste, shape, and color. The same thing also happened to a significant reduction in fat content by three times lower using pregelatinized rice flour which is 7.4% compared to ordinary rice flour which is 25%. Kata kunci  :   Sala Lauak, Gelatinization Technique, rice flour.

scholarly journals Observed decreases in on-road CO<sub>2</sub> concentrations in Beijing during COVID-19 restrictions

2021 ◽  
Vol 21 (6) ◽  
pp. 4599-4614
Author(s):  
Di Liu ◽  
Wanqi Sun ◽  
Ning Zeng ◽  
Pengfei Han ◽  
Bo Yao ◽  
...  
Keyword(s):  
Urban Areas ◽  
Low Cost ◽  
Working Hours ◽  
Weather Conditions ◽  
Co2 Concentration ◽  
Mobile Platforms ◽  
Local Standard ◽  
Transportation Emissions ◽  
Enhancement Method ◽  
The Difference

Abstract. To prevent the spread of the COVID-19 epidemic, restrictions such as “lockdowns” were conducted globally, which led to a significant reduction in fossil fuel emissions, especially in urban areas. However, CO2 concentrations in urban areas are affected by many factors, such as weather, biological sinks and background CO2 fluctuations. Thus, it is difficult to directly observe the CO2 reductions from sparse ground observations. Here, we focus on urban ground transportation emissions, which were dramatically affected by the restrictions, to determine the reduction signals. We conducted six series of on-road CO2 observations in Beijing using mobile platforms before (BC), during (DC) and after (AC) the implementation of COVID-19 restrictions. To reduce the impacts of weather conditions and background fluctuations, we analyze vehicle trips with the most similar weather conditions possible and calculated the enhancement metric, which is the difference between the on-road CO2 concentration and the “urban background” CO2 concentration measured at the tower of the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences. The results showed that the DC CO2 enhancement was decreased by 41 (±1.3) parts per million (ppm) and 26 (±6.2) ppm compared to those for the BC and AC trips, respectively. Detailed analysis showed that, during COVID-19 restrictions, there was no difference between weekdays and weekends during working hours (09:00–17:00 local standard time; LST). The enhancements during rush hours (07:00–09:00 and 17:00–20:00 LST) were almost twice those during working hours, indicating that emissions during rush hours were much higher. For DC and BC, the enhancement reductions during rush hours were much larger than those during working hours. Our findings showed a clear CO2 concentration decrease during COVID-19 restrictions, which is consistent with the CO2 emissions reductions due to the pandemic. The enhancement method used in this study is an effective method to reduce the impacts of weather and background fluctuations. Low-cost sensors, which are inexpensive and convenient, could play an important role in further on-road and other urban observations.

scholarly journals Implementation Of The K-Means Cluster Algorithm In Rice Production Mapping And As A Decision Support For Agricultural Function Transition

2020 ◽  
Vol 5 (4) ◽  
pp. 46-52
Author(s):  
Wahyu Wijaya Widiyanto ◽  
Fendy Nugroho ◽  
Kusrini Kusrini
Keyword(s):  
Agricultural Land ◽  
Crop Productivity ◽  
Mapping Method ◽  
Rice Production ◽  
Clustering Techniques ◽  
Productivity Data ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Group Data ◽  
Waterfall Model

According to the Food and Agriculture Organization of the United Nations (FAO) in 2014 Indonesia ranked 3rd with a total rice production of 70.6 million tons, but it still remains a rice importing country. As one of the districts known as rice barn, Sukoharjo is targeted to continue to increase crop productivity every year to keep up with the growing population, so it is necessary to know areas with less optimal yields, and minimize changes in agricultural land use change. A mapping method for harvest results is needed to group data in each region based on the similarity of harvest data. In data mining, clustering techniques are known that can be used to map harvest productivity data based on their similarity. This study applies clustering techniques using the KMeans algorithm to map rice harvest productivity data by dividing data into 3 groups, namely many, medium, and less. The research method used is SDLC (Software Development Life Cycle) with a waterfall model. The K-Means algorithm is implemented using website-based programming to map harvest productivity data using attributes of planting area and rice production. The results of the mapping are visualized into a recommendation of agricultural land clustering and agricultural products as well as one of the decision makers in the transfer of agricultural functions so that subdistricts that have a lot of productivity, are moderate and lacking based on the characteristics of the data

scholarly journals Quantifying the effect of environments on crop emergence, development and yield using sensing and deep learning techniques

2021 ◽  
Author(s):  
◽  
Aijing Feng
Keyword(s):  
Deep Learning ◽  
Soil Texture ◽  
Precision Agriculture ◽  
Clay Content ◽  
Weather Conditions ◽  
Growth Stages ◽  
Cotton Yield ◽  
Field Scale ◽  
Learning Techniques ◽  
Crop Development

The world population is estimated to increase by 2 billion in the next 30 years, and global crop production needs to double by 2050 to meet the projected demands from rising population, diet shifts, and increasing biofuels consumption. Improving the production of the major crops has become an increasing concern for the global research community. However, crop development and yield are complex and determined by many factors, such as crop genotypes (varieties), growing environments (e.g., weather, soil, microclimate and location), and agronomic management strategies (e.g., seed treatment and placement, planting, fertilizer and pest management). To develop next-generation and high-efficiency agriculture production systems, we will have to solve the complex equation consisting of the interactions of genotype, environment and management (GxExM) using emerging technologies. Precision agriculture is a promising agriculture practice to increase profitability and reduce environmental impact using site-specific and accurate measurement of crop, soil and environment. The success of precision agriculture technology heavily relies on access to accurate and high-resolution spatiotemporal data and reliable prediction models of crop development and yield. Soil texture and weather conditions are important factors related to crop growth and yield. The percentages of sand, clay and silt in the soil affect the movement of air and water, as well as the water holding capacity. Weather conditions, including temperature, wind, humidity and solar irradiance, are determining factors for crop evapotranspiration and water requirements. Compared to crop yield, which is easy to measure and quantify, crop development effects due to the soil texture and weather conditions within a season can be challenging to measure and quantify. Evaluation of crop development by visual observation at field scale is time-consuming and subjective. In recent years, sensor-based methods have provided a promising way to measure and quantify crop development. Unmanned aerial vehicles (UAVs) equipped with visual sensors, multispectral sensors and/or hyperspectral sensors have been used as a high-throughput data collection tool by many researchers to monitor crop development efficiently at the desired time and at field-scale. In this study, UAV-based remote sensing technologies combining with soil texture and weather conditions were used to study the crop emergence, crop development and yield under the effects of varying soil texture and weather conditions in a cotton research field. Soil texture, i.e., sand and clay content, calculated using apparent soil electrical conductivity (EC [subscript a]) based on a model from a previous study, was used to estimate soil characteristics, including field capacity, wilting point and total available water. Weather data were obtained from a weather station 400 m from the field. UAV imagery data were collected using a high-resolution RGB camera, a multispectral camera and a thermal camera from the crop emergence to before harvesting on a monthly basis. An automatic method to count emerged crop seedlings based on image technologies and a deep learning model was developed for near real-time cotton emergence evaluation. The soil and elevation effects on the stand count and seedling size were explored. The effects of soil texture and weather conditions on cotton growth variation were examined using multispectral images and thermal images during the crop development growth stages. The cotton yield variations due to soil texture and weather conditions were estimated using multiple-year UAV imagery data, soil texture, weather conditions and deep learning techniques. The results showed that field elevation had a high impact on cotton emergence (stand count and seedling size) and clay content had a negative impact on cotton emergence in this study. Monthly growth variations of cotton under different soil textures during crop development growth stages were significant in both 2018 and 2019. Soil clay content in shallow layers (0-40 cm) affected crop development in early growth stages (June and July) while clay content in deep layers (40-70 cm) affected the mid-season growth stages (August and September). Thermal images were more efficient in identifying regions of water stress compared to the water stress coefficient Ks calculated using data of soil texture and weather conditions. Results showed that cotton yield for each one of the three years (2017-2019) could be predicted using the model trained with data of the other two years with prediction errors of MAE = 247 (8.9 [percent]) to 384 kg ha [superscript -1] (13.7 [percent]), which showed that quantifying yield variability for a future year based on soil texture, weather conditions and UAV imagery was feasible. Results from this research indicated that the integration of soil and weather information and UAV-based image data is a promising way to understand the effects of soil and weather on crop emergence, crop development and yield.

scholarly journals Pertumbuhan dan Hasil Kedelai dengan Aplikasi Limbah Tofu dan Mikoriza Arbuskular pada Tanah Masam

2019 ◽  
Vol 3 (2) ◽  
pp. 107
Author(s):  
Wan Arfiani Barus ◽  
Bambang S.A.S ◽  
Bagus Permadi
Keyword(s):  
Arbuscular Mycorrhiza ◽  
Block Design ◽  
Acid Soils ◽  
Dry Weight ◽  
Land Conversion ◽  
Fresh Weight ◽  
Randomized Block Design ◽  
Crop Development ◽  
Wet Weight ◽  
Number Of Branches

Utilization of acid soils for food crop development must be carried out because of land conversion. The main problem in acid soils is the unavailability of P nutrients. Utilization of Arbuscular Mycorrhiza on acid soils has been found to contribute to the availability of P nutrients. This study used a factorial randomized block design with 2 factors, namely the application of tofu waste and arbuscular mycorrhiza. Tofu waste dosage consists of 0, 125, 250 and 375 g/polybag and Arbuscular Mycorrhiza application, namely: 0, 6, 12 and 18 g/polybag. The results showed that the application of tofu waste at a dose of 375 g / polybag affected significantly and gave the best results for the parameters of plant height, number of branches, wet weight and dry weight of soybean crop stover. While the application of arbuscular mycorrhiza with the best dose of 18 g / polybag affected significantly to fresh weight and dry weight of the roots of soybean. However, the interaction between the two treatments did not affected significantly to all observed variables.

scholarly journals FAKTOR FAKTOR – FAKTOR YANG MEMPENGARUHI TENAGA KERJA WANITA MENGGUNAKAN ALAT KONTRASEPSI DI SUMATERA BARAT

2020 ◽  
Vol 2 (1) ◽  
pp. 25
Author(s):  
Putri Diana Kristina Simatupang ◽  
Alpon Satrianto
Keyword(s):  
Women Workers ◽  
Working Hours ◽  
Married Women ◽  
Significant Positive Effect ◽  
Significant Negative Effect ◽  
Female Workers ◽  
West Sumatra ◽  
Negative Effect ◽  
Married Female ◽  
Positive Effect

This study aims to determine: (1) the effect of he education level of married women on the use of contraceptives on married women workers in West Sumatra Province. (2) the effect of the  type of work on the  use of contraceptives on married female workers in West Sumatra. (3) the effect in the area of residence on thee use oof contraceptives on thee labor oof married women in West Sumatra.(4) the effect of working hours on the use of contraceptives married female workers in West Sumatra. (5) the effect of income on the use of contraceptives on the labor of woman married in West Sumatera. This research uses data from the National Social Economic Survey (SUSENAS) in 2018. The analysis tool used is logistic regression analysis, and the total number of respondents is 8251 people. The result of the studying indicated that(1) thee level of education has a significant negative effect on the opportunities for married female workers to use contraceptives in West Sumatra, (2) the type of work has no significant negative effect on the opportunities for married womens works to use contraceptives in West Sumatra, (3) the area of residence dooesn’t have a significant positive effect on the opportunities for married female workers to use contraception in West Sumatra, (4) working hours has a siginificant and positive effect on the opportunities for married womens works to use contraception in West Sumatra, (5) income Not a significant positive effect on employment opportunities for married women in using contraceptives in West Sumatra.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PEKERJA KONSTRUKSI MEMILIH SISTEM PEMBAYARAN UPAH KERJA (KASUS PROVINSI SULAWESI TENGAH)

2021 ◽  
Vol 13 (1) ◽  
pp. 48-54
Author(s):  
Andi Asnudin
Keyword(s):  
Work Experience ◽  
Descriptive Analysis ◽  
Working Hours ◽  
Weather Conditions ◽  
Payment System ◽  
Construction Workers ◽  
Remote Work ◽  
Payment Systems ◽  
Wage System ◽  
Daily Wage

In general, there are two types of payment systems for work wages in construction work, the first is the daily wage system based on the number of working days / hours, and the second is the wholesale system based on the volume or type of work. Some information that is often heard in the construction project environment is about problems that arise as a result of the wage system for construction workers. Therefore, this study aims to determine the factors that influence the construction workers in choosing a work wage payment system. Non-parametric approachment is used in the form of descriptive analysis consisting of data reduction carried out by reading interview transcripts, questionnaires responses, and making notes according to the data. Then a summary of the data is made which provides an overview in the form of narrative text and tables. The results showed that the most workers that used the payment of work wages based on the volume of work of 58.84% and those who used working hours or of daily wages were 41.16%. Factors that influence the two payment systems are: First, based on Work Volume, are (1) Additional working hours, (2) Special jobs (Specialists, (3) Remote work locations, (4) High worker productivity, (5) Employee Competence Fulfilled, (6) Experienced more than 2 years, (7) Low risk of material damage. Second, the payment system based on Working Hours are (1) Work experience less than 2 years, (2) Weather conditions, extreme (3) Availability of materials, (4) High wages for workers, (5) Working hours less than 7 hours per day , (6) Difficult mastery of tools, (7) Low labor productivity.

scholarly journals Pengaruh Varietas Beras Putih Sumatera Barat Terhadap Nilai Hematokrit Darah Mencit (Mus Musculus L. Swiss Webster) Jantan

BioScience ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 60
Author(s):  
Silvira Safitri
Keyword(s):  
Blood Glucose ◽  
Mus Musculus ◽  
Rice Flour ◽  
Sugar Solution ◽  
Male Mice ◽  
Rice Varieties ◽  
Significance Level ◽  
White Rice ◽  
Randomized Design ◽  
West Sumatra

White rice is considered as a food have hyperglycemic, it can increase the risk of Diabetes Mellitus. Changes in blood hematocrit value is very risky for people with Diabetic. High hematocrit value increases the risk of hypertension in patients with Diabetic. Meanwhile, a low hematocrit values can lead to anemia in patients. Thus it made to reduce the risk of diabetic disease has to limit consumption of white rice. In fact, white rice glycemic response varies widely, influenced by processing, varieties, and chemical composition.West Sumatra white rice have high amylose deemed able to increase blood glucose slowly. The purpose of this research was to determine the effect of white rice varieties West Sumatra on blood hematocrit value mice (Mus musculus L. Swiss Webster) males. This research used Completely Randomized Design with 7 treatments and 4 replications. The treatment were 0,5 mL sugar solution as a control, and 0,5 mL of  rice flour Bakwan, Ciredek, Cantiak Manih, Randah Putiah, Mundam and Anak Daro. Blood hematocrit value mice (Mus musculus L. Swiss Webster) males measured on day 7th and 15th. Data analyzed by ANOVA and DNMRT at significance level of 5%. The results showed white rice varieties West Sumatra affect blood hematocrit values mice (Mus musculus L. Swiss Webster) males. White rice varieties resulted the highest hematocrit values found in male mice is rice Ciredek of Solok. Meanwhile, the normal hematocrit values found in male mice were given rice Mundam of Pariaman. Rice Mundam can be consumed by people with Diabetes because it provides stable results for hematocrit value. Keywords: Rice White, Blood Glucose, Mus musculus, Hematocrit

scholarly journals Estimation of Net Rice Production for the Fiscal year 2019 using Multisource Datasets.

2019 ◽  
Author(s):  
Abdul Rehman ◽  
Muhammad Ayyaz ◽  
Farzeen Riaz ◽  
Sajid Ali ◽  
M Usman Tanveer ◽  
...  
Keyword(s):  
Crop Yield ◽  
Rice Yield ◽  
Smallholder Farmers ◽  
Disease Outbreaks ◽  
Weather Conditions ◽  
Rice Production ◽  
Rice Crop ◽  
Fiscal Year ◽  
Regression Equations ◽  
Spectral Responses

Smallholder farmers are threatened by various vulnerable risks which include hostile weather conditions, rainfall at odd times, disease outbreaks and the market shocks. Crop insurance is the only solution to mitigate these risks. Crop yield records are of great importance to predict the crop yield/area into a region but the developing countries like Pakistan, have limited availability of crop yield records. Crop Reporting Service (CRS) in Punjab province of Pakistan has taken this initiative to save crop related data. We obtained the CRS based datasets of rice crop from (2008-2018) to predict the rice yield/area for the fiscal year 2019. The CRS based datasets were incorporated in collaboration with remotely sensed dataset to obtain more accurate results. The spectral responses of rice crop were taken as input to compute NDVI/RVI values of each year. We applied linear regression to NDVI/RVI and the CRS based yield to generate regression equations for prediction of rice yield for the year 2019 which was computed as 2.09 (ton/ha). The area under rice cultivation was estimated using supervised classification that was 139616 hectors. The net rice production was estimated as 219797 tons. Spectral responses of rice crop canopy proved efficient to determine the net productions.

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