scholarly journals Understanding Sugarcane Yield Gap and Bettering Crop Management Through Crop Production Efficiency

10.5772/36017 ◽  
2012 ◽  
Author(s):  
Fbio Ricardo
Keyword(s):  
Crop Production ◽  
Production Efficiency ◽  
Crop Management ◽  
Yield Gap ◽  
Sugarcane Yield

scholarly journals Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1551
Author(s):  
Tamoor Khan ◽  
Jiangtao Qiu ◽  
Hafiz Husnain Raza Sherazi ◽  
Mubashir Ali ◽  
Sukumar Letchmunan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Crop Production ◽  
Agricultural Development ◽  
Production Efficiency ◽  
Fruit Production ◽  
National Bureau ◽  
System A ◽  
Future Production ◽  
Learning Techniques ◽  
Agricultural Yields

Agricultural advancements have significantly impacted people’s lives and their surroundings in recent years. The insufficient knowledge of the whole agricultural production system and conventional ways of irrigation have limited agricultural yields in the past. The remote sensing innovations recently implemented in agriculture have dramatically revolutionized production efficiency by offering unparalleled opportunities for convenient, versatile, and quick collection of land images to collect critical details on the crop’s conditions. These innovations have enabled automated data collection, simulation, and interpretation based on crop analytics facilitated by deep learning techniques. This paper aims to reveal the transformative patterns of old Chinese agrarian development and fruit production by focusing on the major crop production (from 1980 to 2050) taking into account various forms of data from fruit production (e.g., apples, bananas, citrus fruits, pears, and grapes). In this study, we used production data for different fruits grown in China to predict the future production of these fruits. The study employs deep neural networks to project future fruit production based on the statistics issued by China’s National Bureau of Statistics on the total fruit growth output for this period. The proposed method exhibits encouraging results with an accuracy of 95.56% calculating by accuracy formula based on fruit production variation. Authors further provide recommendations on the AGR-DL (agricultural deep learning) method being helpful for developing countries. The results suggest that the agricultural development in China is acceptable but demands more improvement and government needs to prioritize expanding the fruit production by establishing new strategies for cultivators to boost their performance.

The soybean yield gap in Brazil – magnitude, causes and possible solutions for sustainable production

2015 ◽  
Vol 153 (8) ◽  
pp. 1394-1411 ◽  
Author(s):  
P. C. SENTELHAS ◽  
R. BATTISTI ◽  
G. M. S. CÂMARA ◽  
J. R. B. FARIAS ◽  
A. C. HAMPF ◽  
...  
Keyword(s):  
Water Deficit ◽  
Precision Agriculture ◽  
Crop Management ◽  
Sustainable Production ◽  
Biodiesel Production ◽  
Yield Gap ◽  
Soybean Yield ◽  
South Central ◽  
Crop Simulation ◽  
Yield Gaps

SUMMARYBrazil is one of the most important soybean producers in the world. Soybean is a very important crop for the country as it is used for several purposes, from food to biodiesel production. The levels of soybean yield in the different growing regions of the country vary substantially, which results in yield gaps of considerable magnitude. The present study aimed to investigate the soybean yield gaps in Brazil, their magnitude and causes, as well as possible solutions for a more sustainable production. The concepts of yield gaps were reviewed and their values for the soybean crop determined in 15 locations across Brazil. Yield gaps were determined using potential and attainable yields, estimated by a crop simulation model for the main maturity groups of each region, as well as the average actual famers’ yield, obtained from national surveys provided by the Brazilian Government for a period of 32 years (1980–2011). The results showed that the main part of the yield gap was caused by water deficit, followed by sub-optimal crop management. The highest yield gaps caused by water deficit were observed mainly in the south of Brazil, with gaps higher than 1600 kg/ha, whereas the lowest were observed in Tapurah, Jataí, Santana do Araguaia and Uberaba, between 500 and 1050 kg/ha. The yield gaps caused by crop management were mainly concentrated in South-central Brazil. In the soybean locations in the mid-west, north and north-east regions, the yield gap caused by crop management was <500 kg/ha. When evaluating the integrated effects of water deficit and crop management on soybean yield gaps, special attention should be given to Southern Brazil, which has total yield gaps >2000 kg/ha. For reducing the present soybean yield gaps observed in Brazil, several solutions should be adopted by growers, which can be summarized as irrigation, crop rotation and precision agriculture. Improved dissemination of agricultural knowledge and the use of crop simulation models as a tool for improving crop management could further contribute to reduce the Brazilian soybean yield gap.

scholarly journals Smallholder farmers’ climate change adaptation practices contribute to crop production efficiency in Southern Ethiopia

2021 ◽  
Author(s):  
Dessalegn Anshiso Sedebo ◽  
Gu‐Cheng Li ◽  
Kidane Assefa Abebe ◽  
Bekele Gebisa Etea ◽  
John Kojo Ahiapka ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Crop Production ◽  
Production Efficiency ◽  
Smallholder Farmers ◽  
Southern Ethiopia ◽  
Adaptation Practices

Characterization and crop production efficiency of diazotrophic isolates from the rhizosphere of semi-arid tropical grasses of India

2015 ◽  
Vol 87 ◽  
pp. 1-10 ◽  
Author(s):  
C. Sarathambal ◽  
K. Ilamurugu ◽  
D. Balachandar ◽  
C. Chinnadurai ◽  
Yogita Gharde
Keyword(s):  
Crop Production ◽  
Production Efficiency ◽  
Tropical Grasses ◽  
Semi Arid

scholarly journals Diagnosing the Climatic and Agronomic Dimensions of Rain-Fed Oat Yield Gaps and Their Restrictions in North and Northeast China

2019 ◽  
Vol 11 (7) ◽  
pp. 2104 ◽  
Author(s):  
Chong Wang ◽  
Jiangang Liu ◽  
Shuo Li ◽  
Ting Zhang ◽  
Xiaoyu Shi ◽  
...  
Keyword(s):  
Northeast China ◽  
Crop Production ◽  
Crop Yields ◽  
Climatic Conditions ◽  
Planting Density ◽  
Limiting Factors ◽  
High Yield ◽  
Yield Gap ◽  
Potential Yield ◽  
Yield Gaps

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) of oat, and evaluated three levels of yield gaps in a rain-fed cropping system in North and Northeast China (NC and NEC, respectively). The results showed that there were great differences in the spatial distributions of the four kinds of yields and three yield gaps. The average yield gap between Yt and Ye (YG-II) was greater than the yield gap between Yp and Yt (YG-I). The yield gap between Ye and Ya (YG-III) was the largest among the three yield gaps at most sites, which indicated that farmers have great potential to increase their crop yields. Due to non-controllable climatic conditions (e.g., light and temperature) for obtaining Yp, reducing YG-I is extremely difficult. Although YG-II could be narrowed through enriching soil nutrients, it is not easy to improve soil quality in the short term. In contrast, narrowing YG-III is the most feasible for farmers by means of introducing high-yield crop varieties and optimizing agronomic managements (e.g., properly adjusting sowing dates and planting density). This study figured out various dimensions of yield gaps and investigated their limiting factors, which should be helpful to increase farmers’ yields and regional crop production, as long as these restrictions are well addressed.

Sugarcane yield gap analysis in Brazil – A multi-model approach for determining magnitudes and causes

2018 ◽  
Vol 637-638 ◽  
pp. 1127-1136 ◽  
Author(s):  
Henrique Boriolo Dias ◽  
Paulo Cesar Sentelhas
Keyword(s):  
Gap Analysis ◽  
Yield Gap ◽  
Sugarcane Yield ◽  
Yield Gap Analysis ◽  
Model Approach

scholarly journals Factors causing yield gap in rape seed production in the eastern of Mazandaran province, Iran

2020 ◽  
Vol 15 (1) ◽  
pp. 10-19
Author(s):  
Esmail Nezamzade ◽  
Afshin Soltani ◽  
Salman Dastan ◽  
Hossein Ajamnoroozi
Keyword(s):  
Relative Yield ◽  
Crop Management ◽  
Yield Potential ◽  
Boundary Line ◽  
Optimum Level ◽  
Average Yield ◽  
Rape Seed ◽  
Mazandaran Province ◽  
Yield Gap ◽  
Line Analysis

The reduction of yield gap and achievement yield potential of oil plants make a significant contribution to yield increases and oil production in developing countries. This research was carried out to investigate the factors causing yield gap associated with rape seed crop management in the Neka region, east of the Mazandaran province, Iran, through a field study during 2015-2016 and 2016- 2017. Boundary line analysis (BLA) was only applied to crop management practices/inputs, e.g. sowing date and rate, fertilizer applications, etc. Boundary lines were fitted to the edge of the data cloud of crop yield versus management variables in data. The average yield in 100 farms was 2051 kg/ha. According to findings of BLA, an average yield, based on the optimum level of the 14 studied variables, was 3032 kg/ha with a 981 kg/ha yield gap per hectare. The average relative yield and relative yield gap for the 14 investigated variables were 68.35% and 31.65%, respectively. Therefore, it can be concluded that the use of the boundary line analysis in yield gap studies can clearly show the yield responses to management factors and calculate the possible potentials. Thus, cultivation practice management of the studied variables in farmers’ fields can lead to increased yield and reduced yield gap.

scholarly journals Characterization and crop production efficiency of diazotrophic bacterial isolates from coastal saline soils

2012 ◽  
Vol 167 (2) ◽  
pp. 95-102 ◽  
Author(s):  
Shilajit Barua ◽  
Sudipta Tripathi ◽  
Ashis Chakraborty ◽  
Sagarmoy Ghosh ◽  
Kalyan Chakrabarti
Keyword(s):  
Crop Production ◽  
Production Efficiency ◽  
Saline Soils ◽  
Bacterial Isolates

THE DAIRY HERD MANAGEMENT SYSTEM AND FARM PRODUCTIVITY

1980 ◽  
Vol 60 (2) ◽  
pp. 495-502 ◽  
Author(s):  
J. S. T. BOWMAN ◽  
J. E. MOXLEY ◽  
B. W. KENNEDY ◽  
B. R. DOWNEY
Keyword(s):  
Production Efficiency ◽  
Correlation Coefficients ◽  
Crop Management ◽  
Dairy Herd ◽  
Complete Information ◽  
Annual Data ◽  
Farm Productivity ◽  
Average Production ◽  
Management Factors ◽  
Feed Costs

A study, based on a series of three questionnaires covering calf management, mastitis control and land and crop management, was conducted from 1975 to 1977 on a random sample of 640 dairy farms on the Dairy Herd Analysis Service (DHAS). Information on dairy cow nutrition, farm production efficiency and farm productivity, as measured by herd average production of 4% fat-corrected milk (4% FCM) and income overfeed costs, was obtained from the 1975–76 DHAS annual data files for these farms. Analysis of the complete information on all factors concerned was done on 216 farms. In a multiple regression analysis, 37 farm management factors accounted for 79.9 and 69.5% of the variation in herd average production and income over feed costs, respectively. Levels of meal and succulent (silage) feeding accounted for the largest amount of the variation in production and income. Significant simple correlation coefficients indicated that the land and crop management factors had an important influence on herd nutrition.

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