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Journal articles on the topic 'Actual farmer yields'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Abeyasekera, S., J. M. Ritchie, and J. Lawson-McDowall. "COMBINING RANKS AND SCORES TO DETERMINE FARMERS' PREFERENCES FOR BEAN VARIETIES IN SOUTHERN MALAWI." Experimental Agriculture 38, no. 1 (2002): 97–109. http://dx.doi.org/10.1017/s0014479702000182.

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Ranking and scoring exercises are common in participatory research work, for example in determining farmer preferences for crop varieties, tree species or other commodities. However, they rarely involve eliciting opinions of many individual farmers so as to establish the repeatability of study findings. This paper demonstrates ways in which ranking of evaluation criteria can be combined with evaluation scores to produce generalizable results concerning farmers' overall preference for a set of bean (Phaseolus vulgaris) varieties. The use of weighted indices is explored. Results were found to be

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2

Florence, Wairimu Ndungu, Kagiki Njogu Martin, and Kingori Gathungu Geoffrey. "Analysis of socioeconomic characteristics on coffee yield gap among smallholder farmers in Nyeri Central sub-county, Kenya." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 2304–11. https://doi.org/10.5281/zenodo.14964663.

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Kenya’s coffee production has been declining over the years leading to decreased yields and making it hard for farmers to benefit from the sector. This has resulted in a considerable yield difference, with actual farmer yields far below the potential yields of station trials. This large yield gap reveals an enormous potential for yield improvement in coffee production. However, the large yield gap may be attributed to several factors, yet there is limited quantitative information on site-specific factors and the yield gap attributed to the factors. This study informs the knowledge gap by

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3

Gaire, Achyut, Samjhana Koirala, Ram Kumar Shrestha, and Lal Prasad Amgain. "Growth and Productivity of Different Cultivars of Rice Under Nutrient Expert© and Other Fertilizer Management Practices at Lamjung." International Journal of Applied Sciences and Biotechnology 4, no. 2 (2016): 178–82. http://dx.doi.org/10.3126/ijasbt.v4i2.14974.

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Rice is an important world leading cereal crop grown extensively in tropical and sub-tropical regions of the world. However, its productivity is constrained by a number of problems. Currently, cereal yields are only 40 to 65% of their potential, mostly because nutrient management does not consider crop’s dynamic response to the environment and site specific nutrition management. Therefore, a field experiment was conducted on farmer’s field at Lamjung, Sundarbazar and Bhoteodar using Nutrient Expert® rice model from July 2015 to November 2015. Four replications of 5 treatments were arranged in

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4

Prakash, Akshay, and Roysha Pandey. "Humanoid Farmer." Perspectives in Communication, Embedded-systems and Signal-processing - PiCES 4, no. 4 (2020): 28–33. https://doi.org/10.5281/zenodo.3974555.

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Farming is the backbone of the Indian economy and it has been unchartered territory for a technological solution. As of late one of the innovations, Artificial Intelligence has paved the way for digital farming. As an important sector, Indian farming has been facing various challenges like an abrupt change in climatic conditions, spoiling of yields, soil nutrient requirement, pest and weed control, and so forth. Robots with an emerging technique Artificial Intelligence with the integration of various sensors, enhance the better outcome. The network foundation and characteristic simulation of t

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5

Florence Wairimu Ndungu, Martin Kagiki Njogu, and Geoffrey Kingori Gathungu. "Analysis of socioeconomic characteristics on coffee yield gap among smallholder farmers in Nyeri Central sub-county, Kenya." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 2304–11. http://dx.doi.org/10.30574/wjarr.2024.23.3.2647.

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Kenya’s coffee production has been declining over the years leading to decreased yields and making it hard for farmers to benefit from the sector. This has resulted in a considerable yield difference, with actual farmer yields far below the potential yields of station trials. This large yield gap reveals an enormous potential for yield improvement in coffee production. However, the large yield gap may be attributed to several factors, yet there is limited quantitative information on site-specific factors and the yield gap attributed to the factors. This study informs the knowledge gap by analy

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6

Murty, Mr P. Narasimha, and Dr N. V. Jagannadha Rao. "Assessing the Effectiveness of Agricultural Finance Schemes on Farmer Welfare: Evidence from Rayagada District, Odisha." IOSR Journal of Business and Management 27, no. 6 (2025): 80–84. https://doi.org/10.9790/487x-2706148084.

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This study evaluates the effectiveness of agricultural finance schemes on farmer welfare in Rayagada District, Odisha. Agricultural finance is vital for rural farmers, offering the necessary capital to boost productivity, invest in modern techniques, and improve livelihoods. Despite various government and private initiatives, the actual impact of these credit facilities on farmer welfare is still debated. Using a mixed-methods approach, the research analyses financial schemes such as Kisan Credit Cards (KCC), crop loans, and subsidy programs. Data was gathered through field surveys, farmer int

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Mooney, Daniel F., Scott M. Swinton, Cristian Subía, and Eduardo Peralta. "Returns to Disease Resistance Research When Pest Management Is an Option." Sustainability 14, no. 5 (2022): 2859. http://dx.doi.org/10.3390/su14052859.

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Resistant cultivars offer a pathway to sustainable intensification by maintaining yields and reducing inputs in the face of disease pressure. Past studies of economic returns to crop breeding research for disease resistance measured farm-level benefits, by comparing yields for improved resistant varieties (RVs) to susceptible traditional varieties. This approach will poorly approximate actual research benefits if non-RV pest management options exist, because it does not account for farmer pest control behavior. We propose a unit cost model that controls for farm-level yields and pesticide inpu

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8

Calabio, Jenny, Crisanto Lopez, and Ma Luisa Albacete. "Determination and Management of Nutrient-Deficient Irrigated Lowland Rice Soils." WVSU Research Journal 1, no. 1 (2012): 38–45. https://doi.org/10.59460/wvsurjvol1iss1pp38-45.

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The minus-one element technique or test (MOET) in assessing nutrient deficiency in lowland rice was used in the study. Based on the result of this test, the farmer's actual fertilizer management practice was compared with the research-based participative fertilizer management recommendation. Two farmers' fields were used as the test sites during the 2001-2002 dry and wet seasons. Nitrogen was deficient in both sites while phosphorus was only deficient in Pototan site based on the results of the MOET. In the dry season, the participative fertilizer management recommendation increased yield by 0

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9

Carberry, P. S., Z. Hochman, J. R. Hunt, et al. "Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops." Crop and Pasture Science 60, no. 11 (2009): 1044. http://dx.doi.org/10.1071/cp09052.

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Crop simulation models relevant to real-world agriculture have been a rationale for model development over many years. However, as crop models are generally developed and tested against experimental data and with large systematic gaps often reported between experimental and farmer yields, the relevance of simulated yields to the commercial yields of field crops may be questioned. This is the third paper in a series which describes a substantial effort to deliver model-based decision support to Australian farmers. First, the performance of the cropping systems simulator, APSIM, in simulating co

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Daniel, Hailu, and Gidey Rozina. "Productivity Potential and Yield gap estimation of pulse crops in Ethiopian Agriculture." Journal of Economics, Finance and Management Studies 5, no. 09 (2022): 2766–71. https://doi.org/10.5281/zenodo.7115340.

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This study aims to provide a detailed analysis of the pulse crops yield gaps for extra grain in production in Ethiopia. The study covers the period 2006/07-2020/21. Central Statistical Agency of Ethiopia (CSA) Agricultural Sample Survey (AgSS) and crop variety register issue of the Ministry of Agriculture (MoA) data were used for the analysis. The data was analyzed using descriptive statistics and econometric analysis. The descriptive analysis provides quantitative estimates of yield gaps to measure and compare yield potentials and actual yields. Pooled Mean-Group (PMG) model was used to analy

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11

Intiaz, Lulu Fazriah, Agus Subhan Prasetyo, and Kadhung Prayoga. "Tingkat Adopsi Inovasi Teknologi Combine Harvester di Kelompok Tani Balong 01 Desa Tanjungbaru." Forum Agribisnis 12, no. 2 (2022): 113–25. http://dx.doi.org/10.29244/fagb.12.2.113-125.

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Rice is a staple food for Indonesian people, but the loss of crop yields is still relatively high. The loss of crop yields can be reduced by making improvements to the application of technology. Technological innovation in agriculture can increase agricultural productivity. The process of accepting technological innovation is defined as the adoption. Farmer’s adoption of agricultural technology is determined by the characteristic of the innovation, including relative advantage, compatibility, complexity, trialability, and observability. The study aims to analyze the rate of adoption of combine

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12

Intiaz, Lulu Fazriah, Agus Subhan Prasetyo, and Kadhung Prayoga. "Tingkat Adopsi Inovasi Teknologi Combine Harvester di Kelompok Tani Balong 01 Desa Tanjungbaru." Forum Agribisnis 12, no. 1 (2022): 113–25. http://dx.doi.org/10.29244/fagb.12.1.113-125.

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Rice is a staple food for Indonesian people, but the loss of crop yields is still relatively high. The loss of crop yields can be reduced by making improvements to the application of technology. Technological innovation in agriculture can increase agricultural productivity. The process of accepting technological innovation is defined as the adoption. Farmer’s adoption of agricultural technology is determined by the characteristic of the innovation, including relative advantage, compatibility, complexity, trialability, and observability. The study aims to analyze the rate of adoption of combine

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13

Al-Hasan, Said, Brychan Thomas, and Mike Haines. "Strategic Implications of Benchmarking for Agricultural Cooperatives and Farmer-Controlled Enterprises in Wales." Outlook on Agriculture 31, no. 4 (2002): 267–74. http://dx.doi.org/10.5367/000000002101294164.

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This paper describes an empirical investigation of the application of benchmarking to cooperative enterprises in Wales to determine whether it was technically feasible, at what cost, and with what results. This entailed close sustained fieldwork with actual cooperatives, which was achieved by investigating the two largest farmer-controlled enterprises (FCEs) in Wales — Clynderwen and Cardiganshire Farmers Ltd, and Wynnstay and Clwyd Farmers Plc, who also collaborated in subsequent management appraisal and remedial action. The paper concludes that benchmarking is strategically feasible, that it

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14

Robertson, Michael, John Kirkegaard, Allan Peake, et al. "Trends in grain production and yield gaps in the high-rainfall zone of southern Australia." Crop and Pasture Science 67, no. 9 (2016): 921. http://dx.doi.org/10.1071/cp16153.

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The high-rainfall zone (HRZ) of southern Australia is the arable areas where annual rainfall is between 450 and 800 mm in Western Australia and between 500 and 900 mm in south-eastern Australia, resulting in a growing-season length of 7–10 months. In the last decade, there has been a growing recognition of the potential to increase crop production in the HRZ. We combined (1) a survey of 15 agricultural consultants, each of whom have ~40–50 farmer clients across the HRZ, (2) 28 farm records of crop yields and area for 2000–2010, (3) 86 wheat and 54 canola yield observations from well managed ex

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15

Monteiro, Leonardo A., and Paulo C. Sentelhas. "Sugarcane yield gap: can it be determined at national level with a simple agrometeorological model?" Crop and Pasture Science 68, no. 3 (2017): 272. http://dx.doi.org/10.1071/cp16334.

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Brazilian sugarcane yield is below its physiological potential, which has compromised the crop’s profitability. This, together with the expansion of the crop to marginal areas with limiting climatic conditions, requires studies to quantify crop yield gaps (YG) and to identify their main causes (i.e. droughts and/or crop management). One way to determine YG is through crop simulation models, which vary in complexity, mainly in terms of input data requirements. This study evaluated whether a simple agrometeorological crop yield model could be suitable for estimating sugarcane YG at a national le

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16

Picaza, Rholey, and Ronald Decano. "Estimating the Maximum Yield of Rice Produce Using Hybrid ARIMA, Artificial Neural Network and ANFIS." Technologique: A Global Journal on Technological Developments and Scientific Innovations 4, no. 1 (2025): 57–65. https://doi.org/10.62718/vmca.tech-gjtdsi.4.1.sc-0425-013.

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This study predicted maximum rice yield in Davao de Oro using time series models: autoregressive integrated moving average (ARIMA), radial basis function neural network (RBFNN), and adaptive neuro-fuzzy inference system (ANFIS). Quarterly rice production data from 2004 to 2024, sourced from DA-PHILRICE, were analyzed to determine production trends, develop best-fit models, and compare forecast accuracy. RBFNN and ANFIS closely follow the actual test data values, demonstrating their ability to capture fluctuations in rice produce. Based on the result, RBFNN is the most accurate model. These fin

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17

Savasli, Erdinc, Oguz Onder, Cemal Cekic, et al. "Sensor based calibration study for in-season nitrogen management of winter wheat in Turkey." Asian Journal of Medical and Biological Research 6, no. 2 (2020): 204–11. http://dx.doi.org/10.3329/ajmbr.v6i2.48051.

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The aims of this study were to compare the responses of four winter wheat cultivars to nitrogen fertilization with vegetation indices calculated using spectral reflection (GreenSeeker hand-held sensor) and to estimate in-season yield (INSEY) using the vegetation indices. The field experiment was conducted at Transitional Zone Agricultural Research Institute of Eskisehir province, Turkey in 2007-2008, 2008-2009 and 2009-2010 growing seasons. The experimental layout was a 2factor factorial in the randomized complete block design. Nitrogen rates were 0, 40, 80, 120, 160 and 200 kg N ha-1. Vegetat

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18

Khechba, Keltoum, Ahmed Laamrani, Driss Dhiba, Khalil Misbah, and Abdelghani Chehbouni. "Monitoring and Analyzing Yield Gap in Africa through Soil Attribute Best Management Using Remote Sensing Approaches: A Review." Remote Sensing 13, no. 22 (2021): 4602. http://dx.doi.org/10.3390/rs13224602.

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Africa has the largest population growth rate in the world and an agricultural system characterized by the predominance of smallholder farmers. Improving food security in Africa will require a good understanding of farming systems yields as well as reducing yield gaps (i.e., the difference between potential yield and actual farmer yield). To this end, crop yield gap practices in African countries need to be understood to fill this gap while decreasing the environmental impacts of agricultural systems. For instance, the variability of yields has been demonstrated to be strongly controlled by so

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19

Pawar, Meenakshi M., Mukund M. Pawar, Pranav M. Pawar, and Bhagyashri M. Deshmukh. "Advancing Sugarcane Farm Management Through NDVI-Based Color Mapping and Drone Imaging." Logistic and Operation Management Research (LOMR) 3, no. 2 (2024): 55–68. https://doi.org/10.31098/lomr.v3i2.2824.

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Precision agriculture has emerged as a key strategy for boosting crop productivity and optimizing resource use. This study leverages advanced imaging and machine learning to enhance the management of sugarcane farms. Using drones, high-resolution RGB images of sugarcane fields are captured and transformed into multispectral images through a Generative Adversarial Network (GAN), revealing critical spectral data for plant health assessment. The Normalized Difference Vegetation Index (NDVI) is derived from these multispectral images and serves as a vital measure of vegetation health. This NDVI da

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20

Singh, K. K., P. K. Singh, Shivangi, Pintoo Kumar, and Omkar Singh. "Yield Gap, Yield Performance and Farmer Economics Analysis of High Yielding Biofortified Wheat Variety DBW-187 with the Special Reference to the Adoption in District Bijnor (U.P.) India." Journal of Experimental Agriculture International 47, no. 1 (2025): 228–36. https://doi.org/10.9734/jeai/2025/v47i13223.

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This research investigated the yield differences, yield efficacy, economic consequences, technology index and adoption rates of the high-yielding biofortified wheat variety DBW-187 and high-yielding wheat variety enriched with essential nutrients. It addresses crucial aspects of food security and nutrition by analyzing the gap between potential and actual farm yields. Being biofortified, DBW-187 contributes to addressing micronutrient deficiencies in populations dependent on wheat as a staple food. Frontline demonstrations were executed in 128 farmers' fields in 11 blocks from 2019-20 to 2023-

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Levitan, Nathaniel, and Barry Gross. "Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms." Remote Sensing 10, no. 12 (2018): 1968. http://dx.doi.org/10.3390/rs10121968.

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Due to its worldwide coverage and high revisit time, satellite-based remote sensing provides the ability to monitor in-season crop state variables and yields globally. In this study, we presented a novel approach to training agronomic satellite retrieval algorithms by utilizing collocated crop growth model simulations and solar-reflective satellite measurements. Specifically, we showed that bidirectional long short-term memory networks (BLSTMs) can be trained to predict the in-season state variables and yields of Agricultural Production Systems sIMulator (APSIM) maize crop growth model simulat

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22

Adewopo, Julius, Helen Peter, Ibrahim Mohammed, Alpha Kamara, Peter Craufurd, and Bernard Vanlauwe. "Can a Combination of UAV-Derived Vegetation Indices with Biophysical Variables Improve Yield Variability Assessment in Smallholder Farms?" Agronomy 10, no. 12 (2020): 1934. http://dx.doi.org/10.3390/agronomy10121934.

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The rapid assessment of maize yields in a smallholder farming system is important for understanding its spatial and temporal variability and for timely agronomic decision-support. We assessed the predictability of maize grain yield using unmanned aerial/air vehicle (UAV)-derived vegetation indices (VI) with (out) biophysical variables on smallholder farms. High-resolution imageries were acquired with UAV-borne multispectral sensor at four and eight weeks after sowing (WAS) on 31 farmer managed fields (FMFs) and 12 nearby nutrient omission trials (NOTs) sown with two genotypes (hybrid and open-

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23

Rowell, Brent, and Mar Lar Soe. "Design, Introduction, and Extension of Low-Pressure Drip Irrigation in Myanmar." HortTechnology 25, no. 4 (2015): 422–36. http://dx.doi.org/10.21273/horttech.25.4.422.

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Drip irrigation is used extensively by both large and small commercial horticultural crop growers in most developed countries where benefits include not only high water use efficiency, but also higher yields, improved product quality, and reduced incidence of foliar disease. Drip systems are still relatively new and expensive in Southeast Asia, and it is primarily wealthier farmers who currently enjoy its benefits. There are also significant perceptual barriers to adoption as many farmers are accustomed to applying copious amounts of water to horticultural crops and are unfamiliar with drip or

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24

Gassner, A., D. Harris, K. Mausch, et al. "Poverty eradication and food security through agriculture in Africa: Rethinking objectives and entry points." Outlook on Agriculture 48, no. 4 (2019): 309–15. http://dx.doi.org/10.1177/0030727019888513.

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Agriculture in Africa is expected to meet the dual objectives of providing food and helping people to escape poverty. African agriculture is dominated by smallholdings and donors generally target their agricultural support at the smallholder sector. The expectation is that if the gap between actual and potential yields can be closed, smallholders will grow sufficient crops to feed their families, with a surplus to sell, thus meeting food security needs and bringing in an income to move them out of poverty. In practice, this is often not possible. While technologies already exist that can raise

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25

Pal, Ramesh, Ram Kumar, Sachin Chaudhary, Satyartham, Virendra Singh, and Mahindra Pratap Singh. "Relative Comparison in Performance Evaluation of Happy Seeder and Conventional Seed Drill under Rice-Wheat Cropping System." Journal of Experimental Agriculture International 45, no. 10 (2023): 272–77. http://dx.doi.org/10.9734/jeai/2023/v45i102219.

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The study evaluates the Happy Seeder's performance in sowing wheat crops in combined harvested paddy fields in the Moradabad region, aiming to mitigate crop residue burning and promote sustainable agriculture. The rice-wheat cropping system in the Indo-Gangetic region generates significant crop residues after combine harvesting, leading to environmental and health hazards. The Happy Seeder, designed to cut and lift rice straw while sowing wheat, offers a promising solution to manage residues and prevent burning. Various parameters, including forward speed, crop residue condition, and soil bulk

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GOBBETT, D. L., Z. HOCHMAN, H. HORAN, J. NAVARRO GARCIA, P. GRASSINI, and K. G. CASSMAN. "Yield gap analysis of rainfed wheat demonstrates local to global relevance." Journal of Agricultural Science 155, no. 2 (2016): 282–99. http://dx.doi.org/10.1017/s0021859616000381.

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SUMMARYAustralia has a role to play in future global food security as it contributes 0·12 of global wheat exports. How much more can it contribute with current technology and varieties? The present paper seeks to quantify the gap between water-limited yield potential (Yw) and farmer yields (Ya) for wheat in Australia by implementing a new protocol developed by the Global Yield Gap and Water Productivity Atlas (GYGA) project. Results of past Australian yield gap studies are difficult to compare with studies in other countries because they were conducted using a variety of methods and at a range

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27

Tayao, Aries, and Imelda Navarro. "Assessment of the Intervention Design and Benefits of Sustainable Land Resource Management Approach (SLRMA) on Corn Farmers in Ilagan City, Isabela, Philippines." Southeast Asian Journal of Agriculture and Allied Sciences 5, no. 1 (2025): 35–44. https://doi.org/10.63943/sajaas.vol5iss1art79pp35-44.

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Sustainable farming systems have been acknowledged as an approach that balances the production of food and preservation of the environment. It involves practices that protect natural ecosystems such as soil conservation and water management, while also supporting the long-term economic viability for the farmers. To promote sustainable agriculture, various soil conservation technologies were introduced to corn farmers in Ilagan City, Isabela, Philippines through Sustainable Land Resource Management Approach (SLRMA). This study aimed to assess the intervention design and benefits of SLRMA to the

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28

Islam, AKMS, MM Hossain, and MA Saleque. "Evaluation of Direct Seeded Rice Planter under Minimum Tillage Practices." Agriculturists 11, no. 2 (2014): 87–95. http://dx.doi.org/10.3329/agric.v11i2.17493.

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This experiment was conducted in the farmers field to evaluate the performance of a modified planter machine for establishing direct seeded rice during aman and aus seasons in 2010 with four tillage treatments: (i) conventional tillage (CT) (ii) strip tillage (ST), (iii) bed formation (BP) and (iv) zero tillage (ZT). In later three treatments, seeding and fertilizer application was done simultaneously in a single pass operation by the planter. Flute type seed metering device was tested to study the seed dispensing rate, placement of seed and fertilizers. Minimum tillage saved fuel consumption

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Wang, Chong, Jiangang Liu, Shuo Li, et al. "Diagnosing the Climatic and Agronomic Dimensions of Rain-Fed Oat Yield Gaps and Their Restrictions in North and Northeast China." Sustainability 11, no. 7 (2019): 2104. http://dx.doi.org/10.3390/su11072104.

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Confronted with the great challenges of globally growing populations and food shortages, society must achieve future food security by increasing grain output and narrowing the gap between potential yields and farmers’ actual yields. This study attempts to diagnose the climatic and agronomic dimensions of oat yield gaps and further to explore their restrictions. A conceptual framework was put forward to analyze the different dimensions of yield gaps and their limiting factors. We quantified the potential yield (Yp), attainable yield (Yt), experimental yield (Ye), and farmers’ actual yield (Ya)

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Reetsch, Anika, Kai Schwärzel, Christina Dornack, Shadrack Stephene, and Karl-Heinz Feger. "Optimising Nutrient Cycles to Improve Food Security in Smallholder Farming Families—A Case Study from Banana-Coffee-Based Farming in the Kagera Region, NW Tanzania." Sustainability 12, no. 21 (2020): 9105. http://dx.doi.org/10.3390/su12219105.

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In East Africa, soil nutrient depletion and low yields jeopardise the food security of smallholder farming families and exacerbate poverty. The main reasons for the depletion of soil nutrients are overuse due to population growth, limited land, and increasing uncertainty in agricultural production caused by climate change. This study aims to analyse and optimise nutrient flows and stocks in the homegardens of smallholder banana-coffee-based farming systems in the Kagera region in NW Tanzania. The plant nutrients nitrogen (N), phosphorus (P), and potassium (K) in plant-based biomass and organic

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Bekele, Bewket Getachew. "Review on Yield Gap Analysis: Modeling of Achievable Yields at Farm Level." European Journal of Agriculture and Forestry Research 10, no. 2 (2022): 21–27. http://dx.doi.org/10.37745/ejafr.2013/vol9n22127.

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In the present context, ‘model’ is expressed as a computer program that can be repeatedly run several times for computing several designed mathematical or statistical expressions (equations) governing crop growth-environment relations, given appropriate input data. The experiment station yields obtained under a rainfed situation without any nutrient deficiency mostly considered as the potential yields of rainfed crops. Actual yields are obtained by recording crop yields of farmers in the region under investigation and achievable yield is between actual and potential yield. Actual yields are co

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Agustiani, Nurwulan, Sujinah Sujinah, Z. M. Hikmah, et al. "INITIAL VALIDATION OF “WeRise” TECHNOLOGY FOR PLANTING TIME DETERMINATION AT RAINFED LOWLAND USING INPARI 41 VARIETY." Agric 33, no. 2 (2021): 165–74. http://dx.doi.org/10.24246/agric.2021.v33.i2.p165-174.

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WeRise is a rainfed specific technology (IRRI-JIRCAS-IAARD) that helps farmers to determine planting time according to rainfall distribution and specific variety. The research was conducted in West Nusa Tenggara (WNT) and Central Java at 2018, involving 15 farmers in each location. It compared planting time according to WeRise’s recommendation (1) and farmers’ practice (2), using the same variety, namely Inpari 41, which is a specific high yielding variety for rainfed. It was analyzed using the T test at the 5% level. The best WeRise’s recommendations in WNT was ± 1 December 2018, while farmer

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Kwesiga, Julius, Kristina Grotelüschen, Kalimuthu Senthilkumar, Daniel Neuhoff, Thomas F. Döring, and Mathias Becker. "Rice Yield Gaps in Smallholder Systems of the Kilombero Floodplain in Tanzania." Agronomy 10, no. 8 (2020): 1135. http://dx.doi.org/10.3390/agronomy10081135.

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To meet the growing rice demand in Africa, gaps between actual and attainable yields have to be reduced. In Tanzania, this particularly concerns smallholder rain-fed production systems in the floodplains. After quantifying the existing yield gaps, key contributing factors need to be analyzed to improve site-specific management. Field experiments were conducted for three years and in three pedo-hydrological environments (fringe, middle, and center positions) of the Kilombero floodplain to evaluate: (1) The grain yield under farmers’ management (actual yield), (2) yield with the best-recommended

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Ohsumi, Akihiro, Ryoko Morioka, Munehiro Ebato, Hiroshi Nakagawa, and Hiroe Yoshida. "Difference between Attainable Yield and Farmers’ Actual Yield in Rice in Japan." Japanese Journal of Crop Science 91, no. 1 (2022): 28–38. http://dx.doi.org/10.1626/jcs.91.28.

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Legba, Eric C., Laurence Dossou, Judith Honfoga, Lukas Pawera, and Ramasamy Srinivasan. "Productivity and Profitability of Maize-Mungbean and Maize-Chili Pepper Relay Intercropping Systems for Income Diversification and Soil Fertility in Southern Benin." Sustainability 17, no. 3 (2025): 1076. https://doi.org/10.3390/su17031076.

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Low vegetable consumption in sub-Saharan Africa partly arises from limited availability across cereal-based zones. A field experiment in southern Benin (April to September 2023) evaluated four maize–chili and five maize–mungbean relay intercropping. Growth and yield data and farmers’ perceptions were analyzed using analysis of variance with the least significant difference test, land equivalent ratio (LER) and monetary indexes. Maize grain yield was statistically similar across patterns, whereas chili and mungbean yields differed significantly. All sowing patterns achieved LER > 1. Pattern

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GETNET, MEZEGEBU, MARTIN VAN ITTERSUM, HUIB HENGSDIJK, and KATRIEN DESCHEEMAEKER. "YIELD GAPS AND RESOURCE USE ACROSS FARMING ZONES IN THE CENTRAL RIFT VALLEY OF ETHIOPIA." Experimental Agriculture 52, no. 4 (2015): 493–517. http://dx.doi.org/10.1017/s0014479715000216.

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SUMMARYIn the Central Rift Valley (CRV) of Ethiopia, low productive cereal systems and a declining resource base call for options to increase crop productivity and improve resource use efficiency to meet the growing demand of food. We compiled and analysed a large amount of data from farmers’ fields (>10,000) and experimental data across the CRV from 2004–2009 to quantify yield gaps (Yg) between actual (average and best performing farmers) and experimental (water-limited potential (Yw)) yields of maize and wheat in homogenous farming zones (HFZs). Resource use efficiencies (nutrients and wa

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Sugeng Supriyanto. "ANALISIS HARGA MINIMUM LAYAK DI TINGKAT PETANI ATAS GABAH KERING PANEN (GKP) DAN BERAS DI DESA PAHANG ASRI KECAMATAN BUAY PEMUKA PELIUNG KABUPATEN OKU TIMUR." Jurnal Bakti Agribisnis 1, no. 02 (2015): 34–41. http://dx.doi.org/10.53488/jba.v1i02.44.

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The objectives of this study were to: (1) Calculate what is the minimum feasible price at the farmer level for dry rice harvest and rice in Pahang Asri Village, (2) Compare the minimum price with the actual price (market price) on the sales of dry milled grain and rice. This research was conducted in Pahang Asri Village, Buay Pemuka Peliung District, OKU Timur District. Determining the location was done purposively, from 13 villages in Kecamatan Buay Pemuka Peliung only Pahang Asri Village selected by the researcher to conduct a research on analysis of minimum price of rice and rice with the c

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Seo, HongSeok, Taehoo Kim, Man-Keun Kim, and Bruce A. McCarl. "Introduction of the trend-adjusted crop insurance program." Agricultural Finance Review 77, no. 3 (2017): 412–28. http://dx.doi.org/10.1108/afr-07-2016-0065.

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Purpose Recently, USDA-RMA introduced a Trend Adjusted-Actual Production History (TA-APH) program, which increases APH by a trend factor to cover yield changes over time. The purpose of this paper is to examine the effects of the TA-APH program on farmer participation, coverage election, and risk by analyzing data before and after the program. Design/methodology/approach Since the program was carried out in selected counties, the authors employ a difference in differences approach doing comparisons of insurance participation and coverage levels between eligible and ineligible counties. Finding

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Liu, X., S. Li, P. He, P. Zhang, and Y. Duan. "Yield and nutrient gap analysis for potato in northwest China." Journal of Agricultural Science 156, no. 8 (2018): 971–79. http://dx.doi.org/10.1017/s0021859618000916.

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AbstractAnalysis of the potato yield gap and the corresponding nutrient gap can help in devising strategies and measurements to increase productivity for closing the gaps through improved practices. On-farm experiments conducted in the main potato production areas of northwest China were used to determine attainable yield. Official statistical data were used to determine the actual on-farm yield. Yield gap was the difference between attainable yield and actual on-farm yield. Nutrient gap was calculated by dividing the size of yield gap by partial factor productivity. Results indicated that nit

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Harikrishna, N., Ch Ramanjaneyulu, A. Karthikeya, B. Somasekhar, and Ch Mahesh. "Analysis Of Agriculture Data Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 1233–39. http://dx.doi.org/10.22214/ijraset.2023.49230.

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Abstract: Without a question, agriculture provides the majority of livelihood opportunities in India and significantly boosts the national economy. Practices and managerial choices are two examples of technological elements influencing crop productivity. Hence, forecasting crop production in advance of harvest would aid farmers in making the right decisions. By creating a userfriendly prediction system, we try to find a solution. The outcome of the forecast is suggested to the farmer so that appropriate adjustments can be made to enhance the yield. Crop yield can be predicted using a variety o

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SILVA, JOÃO VASCO, and JOSHUA J. RAMISCH. "WHOSE GAP COUNTS? THE ROLE OF YIELD GAP ANALYSIS WITHIN A DEVELOPMENT-ORIENTED AGRONOMY." Experimental Agriculture 55, no. 2 (2018): 311–38. http://dx.doi.org/10.1017/s0014479718000236.

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SUMMARYYield gaps have become a useful tool for guiding development-related agronomy, especially in the global South. While critics have challenged some aspects of the yield gap methodology, and the relevance of food security advocacy based on yield gaps, very few studies question the actual relevance, application and scalability of yield gaps for smallholder farmers (and researchers) in the tropics. We assess these limitations using two contrasting case studies: maize-based farming systems in Western Kenya and rice-based farming systems in Central Luzon, the Philippines. From these two cases,

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Priyanka, Mrs S. S. N. L. "A Potential Solution for Crop Yield Prediction by using Data Mining Techniques." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 1211–14. http://dx.doi.org/10.22214/ijraset.2021.35072.

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Agriculture is undoubtedly the largest livelihood provider in India and also contributes a significant figure to the economy of our Country. The technological factors affecting the crop production includes practices used and also managerial decisions. So, predicting the crop yield prior to its harvest would help farmers to take appropriate steps. We attempt to resolve the issue by building a user-friendly prediction system. The results of the prediction are suggested to the farmer such that suitable changes can be made in order to improve the produce. There are different techniques or algorith

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Studer, Christoph, and Simon Spoehel. "Potential and Actual Water Savings through Improved Irrigation Scheduling in Small-Scale Vegetable Production." Agronomy 9, no. 12 (2019): 888. http://dx.doi.org/10.3390/agronomy9120888.

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Appropriate irrigation scheduling for efficient water use is often a challenge for small-scale farmers using drip irrigation. In a trial with 12 farmers in Sébaco, Nicaragua, two tools to facilitate irrigation scheduling were tested: the Water Chart (a table indicating required irrigation doses) and tensiometers. The study aimed at evaluating if and to what extent simple tools can reduce irrigation water use and improve water productivity in drip-irrigated vegetable (beetroot; Beta vulgaris L.) production compared with the farmers’ usual practice. Irrigation water use was substantially reduced

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COSSANI, C. MARIANO, CHOKRI THABET, HAFEDH J. MELLOULI, and GUSTAVO A. SLAFER. "IMPROVING WHEAT YIELDS THROUGH N FERTILIZATION IN MEDITERRANEAN TUNISIA." Experimental Agriculture 47, no. 3 (2011): 459–75. http://dx.doi.org/10.1017/s0014479711000044.

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SUMMARYRainfed wheat is frequently exposed to periods of water stress that generate low and variable grain yields. Field experiments (with studies in Tunisia and Morocco) carried out in the context of a European research project of co-operation with Mediterranean partner countries (WatNitMED) showed that nitrogen (N) fertilization may be a tool to increase productivity of rainfed wheat in Mediterranean environments. However, most farmers in Northern Africa do not fertilize their rainfed cereals. In the present study, we aimed to analyse whether the generally accepted positive yield response to

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Mihiretu, Ademe, and Melaku Asresu. "Participatory Evaluation of Tomato (Lycopersicon esculentum Mill.) Varieties Under Irrigation Condition at Abergelle Woreda, Ethiopia." Agro Bali : Agricultural Journal 6, no. 1 (2023): 12–20. http://dx.doi.org/10.37637/ab.v6i1.1041.

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Participatory on-farm evaluation of improved tomato varieties namely;‘Melka salsa, 'Roma VF' and 'Kochero’ against the local variety was carried out in the 2019/20 irrigation season. The trial was laid on unreplicated simple plots using six farmers as replication at irrigation scheme of Saka kebele in Abergelle woreda. The experiment was intended to evaluate and demonstrate the performances of different tomato varieties for farmers, then to collect and assess their feedback. Based on the actual biological and farmers’ preference data, the analysis result underscores the better performance of i

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Thirumeninathan, Subramanian, Sellaperumal Pazhanivelan, N. S. Sudarmanian, et al. "Integrating SAR Sentinel-1A and DSSAT CROPGRO Simulation Model for Peanut Yield Gap Analysis." Agronomy 13, no. 3 (2023): 889. http://dx.doi.org/10.3390/agronomy13030889.

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Crop yield data are critical for managing agricultural sustainability and assessing national food security. This study aims at increasing peanut productivity from its current levels by analyzing the yield gap (difference) of potential production between theoretical yield and actual farmers’ yields. The spatial yield gap of peanut for the Tiruvannamalai district of Tamil Nadu is examined in this investigation by integrating the products of microwave remote sensing (SAR Sentinel-1A) with the DSSAT CROPGRO Peanut simulation model. The CROPGRO (crop growth) Peanut model was calibrated and validate

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COE, RIC, JOYCE NJOLOMA, and FERGUS SINCLAIR. "TO CONTROL OR NOT TO CONTROL: HOW DO WE LEARN MORE ABOUT HOW AGRONOMIC INNOVATIONS PERFORM ON FARMS?" Experimental Agriculture 55, S1 (2017): 303–9. http://dx.doi.org/10.1017/s0014479717000102.

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SUMMARYOur paper ‘Loading the dice in favour of the farmer: reducing the risk of adopting agronomic innovations’ revealed mean increases but also large variation in the impact of four agroforestry practises on maize yield, as experienced by farmers in Malawi. This prompted a response from Sileshi and Akinnifesi that was critical of the data and methods used. Their main concern was that farmers did not necessarily manage crops identically in plots with and those without trees, so the yield differences that we measured may be partly caused by these differences in crop management. We argue here t

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Afshar, Mehdi H., Timothy Foster, Thomas P. Higginbottom, et al. "Improving the Performance of Index Insurance Using Crop Models and Phenological Monitoring." Remote Sensing 13, no. 5 (2021): 924. http://dx.doi.org/10.3390/rs13050924.

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Extreme weather events cause considerable damage to the livelihoods of smallholder farmers globally. Whilst index insurance can help farmers cope with the financial consequences of extreme weather, a major challenge for index insurance is basis risk, where insurance payouts correlate poorly with actual crop losses. We analyse to what extent the use of crop simulation models and crop phenology monitoring can reduce basis risk in index insurance. Using a biophysical process-based crop model (Agricultural Production System sIMulator (APSIM)) applied for rice producers in Odisha, India, we simulat

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Duan, Zhiping, Chengjuan Zheng, Shuaixiang Zhao, et al. "Cold Climate during Bud Break and Flowering and Excessive Nutrient Inputs Limit Apple Yields in Hebei Province, China." Horticulturae 8, no. 12 (2022): 1131. http://dx.doi.org/10.3390/horticulturae8121131.

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Apples have become a major source of income for smallholder farmers in Bohai Bay. However, the annual productivity of apples in the area is relatively low and the interannual yield gap varies drastically. Identifying the apple yield gap and interannual production constraints can potentially promote the sustainable development of apple production. Based on track monitoring data of 45 smallholder farmers from 2016 to 2018, the yield gap and constraint factors were determined by adopting boundary analysis methodology. The results showed that the yield potential of apples during 2016–2018 was 75,

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Sravanthi, Ullangula, Rajeshwar Malavath, Shivakrishna Kota, Nagaraju Alugoju, Thirupathi Islavath, and Sathish Kumar Bollaveni. "Effect of ICM Practices on Yield and Economics in Tomato (Lycopersicon esculentum Mill.)." Ecology, Environment and Conservation 29 (2023): 294–96. http://dx.doi.org/10.53550/eec.2023.v29i03s.053.

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The present investigation was carried out to study the effect of integrated crop management practices on yield and economics of tomato at farmer’s field of Mancherial district, Telangana state during the year from 2019-20, 2020-21 and 2021-22. The farming area available for the production of tomato across India during the financial year 2022 is estimated to have amounted to 841 thousand hectares. The treatments consist of farmer practice (T1) with application of RDF (180: 100: 60 kg NPK ha-1) and direct sowing in the field and T2 consists of raising of seedlings by nursery, installation of yel

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