scholarly journals Monitoring Rice Crop and Paddy Field Condition Using UAV RGB Imagery

2021 ◽  
Vol 5 (4) ◽  
pp. 469
Author(s):  
Mohd Yazid Abu Sari ◽  
Yana Mazwin Mohmad Hassim ◽  
Rahmat Hidayat ◽  
Asmala Ahmad
Keyword(s):  
Field Condition ◽  
Paddy Field ◽  
Crop Production ◽  
Industrial Revolution ◽  
Management Practice ◽  
Digital Camera ◽  
Crop Management ◽  
Rice Crop ◽  
Large Area ◽  
Crop Condition

An effective crop management practice is very important to the sustenance of crop production. With the emergence of Industrial Revolution 4.0 (IR 4.0), precision farming has become the key element in modern agriculture to help farmers in maintaining the sustainability of crop production. Unmanned aerial vehicle (UAV) also known as drone was widely used in agriculture as one of the potential technologies to collect the data and monitor the crop condition. Managing and monitoring the paddy field especially at the bigger scale is one of the biggest challenges for farmers. Traditionally, the paddy field and crop condition are only monitored and observed manually by the farmers which may sometimes lead to inaccurate observation of the plot due the large area. Therefore, this study proposes the application of unmanned aerial vehicles and RGB imagery for monitoring rice crop development and paddy field condition. The integration of UAV with RGB digital camera were used to collect the data in the paddy field. Result shows that the early monitoring of rice crops is important to identify the crop condition. Therefore, with the use of aerial imagery analysis from UAV, it can help to improve rice crop management and eventually is expected to increase rice crop production.

Performance of Cowpea and Horse Gram as Intercrops with Bt Cotton on Red Soils of Southern Transition Zone of Karnataka Plateau, India

2021 ◽  
Author(s):  
V. Ramamurthy ◽  
G. Sangeetha ◽  
B. Shyla
Keyword(s):  
Transition Zone ◽  
Production Efficiency ◽  
Management Practice ◽  
Cropping System ◽  
Bt Cotton ◽  
Cotton Yield ◽  
Large Area ◽  
Horse Gram ◽  
Red Soils ◽  
On Farm

Background: Horizontal expansion of area under pulses at country level has very little possibilities. This necessitates exploring alternate ways to increase the area and production of pulses. Bt cotton is the major cash crop grown in large area in Southern transition zone of Karnataka on red soils. Bt cotton hybrids are sown at wide row spacing hence provide sufficient space for cultivation of short duration pulses like cowpea and horse gram.Methods: On-farm trials were carried out in medium deep red soils of Basavanagiri village of Mysore district, Karnataka during 2014-15 and 2015-16. There were six treatments consists of Bt cotton with farmers practice (T1), Bt cotton with best management practice (T2), sole cowpea (T3), sole horse gram (T4), Bt cotton intercropped with cowpea (T5) and Bt cotton inter cropped with horse gram (T6). On-farm trials were laid out by using RCBD design in five farmer fields, which served as replications.Result: On-farm investigation indicated that there was no much difference between cotton yield sole crop with BMP and inter cropped cotton yield. However, cotton yield was significantly lower in farmers practice over BMP. Intercropping of cowpea and horse gram with Bt cotton resulted in higher cotton equivalent yield, LER and production efficiency over the sole cotton cropping system. This was due to the wider spacing of the cotton and better resource use efficiency in intercropping system.

scholarly journals Insects associated with sesame (Sesamun indicum L.) and the impact of insect pollinators on crop production

2012 ◽  
Vol 27 (2) ◽  
pp. 117-129 ◽  
Author(s):  
Farag Mahmoud
Keyword(s):  
Crop Production ◽  
Digital Camera ◽  
Insect Species ◽  
Pitfall Traps ◽  
Experimental Site ◽  
Insect Pollination ◽  
Growing Seasons ◽  
Pass Through ◽  
The Impact ◽  
Weight Number

A survey of insects associated with sesame, Sesamun indicum L. (Pedaliaceae) was conducted at the Agriculture Research Farm of The Faculty of Agriculture, University of Suez Canal during the growing seasons 2010 and 2011. All different insect species found on the experimental site were collected for identification. Sampling was done once a week and three times a day. Three methods were used to collect insects from the sesame plants (a sweep net, pitfall traps, digital camera and eye observation). A total of 31 insect species were collected and properly identified during the survey. Insects recorded on the plants were divided into four groups, true pollinators (Hymenoptera), other pollinators (Diptera, Coleoptera and Lepidoptera), pests (Orthoptera, Odonata, Hemiptera and Homoptera) and natural enemies (Coleoptera, Hymenoptera, Neuroptera and Dictyoptera). For studying the impact of insect pollination on sesame production, the experiment was divided in two: opened and non-opened pollination of sesame. 50 plants from nonopened pollination were covered with a perforated paper bag to allow the air to pass through and to prevent insects from approaching the plants. Quantitative and qualitative parameters were measured as follows: pod weight, number of seeds in each pod, weight of 1000 seeds, germination (%), seedlings vigour and oil content (%). Results clearly demonstrate that the opened pollination improved the crop production.

Toxicity of biocides to native cyanobacteria at different rice crop stages in wetland paddy field

2017 ◽  
Vol 30 (1) ◽  
pp. 483-493 ◽  
Author(s):  
Nalinaxya Prasad Dash ◽  
Manish Singh Kaushik ◽  
Ajay Kumar ◽  
Gerard Abraham ◽  
Pawan Kumar Singh
Keyword(s):  
Paddy Field ◽  
Rice Crop

scholarly journals A Web Portal for Rice Crop Improvements

2018 ◽  
Vol 10 (2) ◽  
pp. 15-31 ◽  
Author(s):  
James W. Baurley ◽  
Arif Budiarto ◽  
Muhamad Fitra Kacamarga ◽  
Bens Pardamean
Keyword(s):  
Crop Production ◽  
Rice Crop ◽  
Complex Data ◽  
Web Interface ◽  
Web Portal ◽  
Rice Varieties ◽  
Computationally Intensive ◽  
Job Scheduler ◽  
Sqlite Database ◽  
Server Architecture

High quality models of factors influencing rice crop yield are needed in countries where rice is a staple food. These models can help select optimal rice varieties for expected field conditions. Development of a system to help scientist track and make decisions using this data is challenging. It involves incorporation of complex data structures - genomic, phenotypic, and remote sensing - with computationally intensive statistical modeling. In this article, the authors present a web portal designed to help researchers to manage and analyze their datasets, apply machine learning to detect how factors taken together influence crop production, and summarize the results to help scientists make decisions based on the learned models. The authors developed the system to be easily accessed by the entire team including rice scientist, genetics, and farmers. As such, they developed a system on a server architecture comprised of a SQLite database, a web interface developed in Python, the Celery job scheduler, and statistical computing in R.

Design of Light-Small Mobile 3D Laser Measurement System

2013 ◽  
Vol 405-408 ◽  
pp. 3032-3036
Author(s):  
Yi Bo Sun ◽  
Xin Qi Zheng ◽  
Zong Ren Jia ◽  
Gang Ai
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Digital Camera ◽  
Scanning System ◽  
Point Cloud Data ◽  
3D Laser Scanning ◽  
Large Area ◽  
Cloud Data ◽  
Laser Scanning System

At present, most of the commercial 3D laser scanning measurement systems do work for a large area and a big scene, but few shows their advantage in the small area or small scene. In order to solve this shortage, we design a light-small mobile 3D laser scanning system, which integrates GPS, INS, laser scanner and digital camera and other sensors, to generate the Point Cloud data of the target through data filtering and fusion. This system can be mounted on airborne or terrestrial small mobile platform and enables to achieve the goal of getting Point Cloud data rapidly and reconstructing the real 3D model. Compared to the existing mobile 3D laser scanning system, the system we designed has high precision but lower cost, smaller hardware and more flexible.

scholarly journals Rice crop monitoring using multirotor UAV and RGB digital camera at early stage of growth

2018 ◽  
Vol 169 ◽  
pp. 012095 ◽  
Author(s):  
C Y N Norasma ◽  
M Y Abu Sari ◽  
M A Fadzilah ◽  
M R Ismail ◽  
M H Omar ◽  
...  
Keyword(s):  
Early Stage ◽  
Digital Camera ◽  
Rice Crop ◽  
Crop Monitoring

Utilization of Organic Materials as Soil Amendments for Cucumber Production in Greenhouse Cultivation

2011 ◽  
Vol 356-360 ◽  
pp. 1971-1980
Author(s):  
Yu Qi Li ◽  
Yan Song Ao
Keyword(s):  
Crop Production ◽  
Organic Materials ◽  
Management Practice ◽  
Low Cost ◽  
Soil Phosphorus ◽  
Soil Amendments ◽  
Growth Yield ◽  
Peat Moss ◽  
Greenhouse Soil ◽  
Greenhouse Cucumber

Appropriate application of organic materials to agricultural soil is considered to be a valuable alternative to landfills or incineration and a good management practice for maintaining soil fertility and sustainable crop production. This study was performed to evaluate the potential use of five organic materials (peat moss, bran coat, asparagus residue, turf clipping and soybean residue) as soil amendments and/or fertilizers for greenhouse cucumber production. Each organic material was applied to greenhouse soil at the rate of 7.5 t ha-1. The application of organic materials to the greenhouse soil produced an improvement in the soil properties as well as in the cucumber growth, yield and quality, especially low-cost asparagus residues, turf clipping and soybean residues. Nevertheless, these improvements depended on the chemical composition of organic materials. In particular, all organic materials significantly increased soil potassium content. Asparagus residues significantly increased soil phosphorus content. This study demonstrated that asparagus residues, turf clipping and soybean residues were suitable for use as soil amendments and/or fertilizers for greenhouse cucumber production in terms of economic evaluation.

WHEAT YIELDS FOR 50 YEARS AT SWIFT CURRENT, SASKATCHEWAN IN RELATION TO WEATHER

1974 ◽  
Vol 54 (4) ◽  
pp. 625-650 ◽  
Author(s):  
GEO. W. ROBERTSON
Keyword(s):  
Crop Production ◽  
Global Radiation ◽  
Wheat Yield ◽  
Triticum Aestivum L ◽  
Quadratic Functions ◽  
Weather Data ◽  
Temperature And Precipitation ◽  
Weather Model ◽  
Surveillance Programs ◽  
Crop Condition

Half a century of wheat yield and weather records at Swift Current in southwestern Saskatchewan were analyzed to determine the response of wheat (Triticum aestivum L.) to changing weather patterns. Weather at Swift Current has undergone subtle but significant changes over the past 50 yr. Earlier years had disturbed conditions: hot, dry periods alternating with cool, wet ones resulting in yield fluctuations ranging from crop failures to maximum values. More recently the weather has been quiet: dry and cool but less variable from year to year. The resulting conditions were more favorable for near-normal but less variable yields. Simple precipitation-based yield–weather models developed two decades ago no longer apply, because temperature and precipitation patterns are currently out of phase relative to earlier conditions. A factorial yield–weather model was used to explain the complex relationship. This involved the summation of the product of several quadratic functions of various weather elements. Those elements considered were precipitation, maximum and minimum temperatures, global radiation estimated from duration of bright sunshine, evaporation from a buried pan, and time as an indicator of advancing technology. One function contained a term for the antecedant crop condition. The most important elements were precipitation for the summer-fallow period and for May, June and August; maximum temperatures for June and July; and global radiation for May. Advances in technology would seem to have very little influence on wheat yield trends after weather trends were accounted for. The model accounted for 73% (r = 0.854) of the yield variability and provided realistic functions for explaining the curvilinear influence of individual weather elements on wheat yield. The model is of a form that is readily adaptable for assessing, at any time during the crop development period, the influence of past and current weather on future expected yield. This could be useful for interpreting weather data in terms of crop production in weather and crop condition surveillance programs.

scholarly journals Energy Assessment of Rice- Wheat Cropping Systems in Agro-Climatic Zone-1 of Haryana State

2021 ◽  
pp. 62-69
Author(s):  
Parmod Sharma ◽  
. Yadvika ◽  
Kanishk Verma ◽  
Y. K. Yadav ◽  
. Ravi
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Crop Production ◽  
Energy Use ◽  
Cultural Practices ◽  
Cropping Systems ◽  
Rice Crop ◽  
Climatic Zone ◽  
Wheat Crop ◽  
Crop Cultivation

The aim of study to examined the operation-wise and source wise energy use in wheat and rice crop production.  Present study was conducted in four districts of Haryana namely Kurukshetra, Karnal, Kaithal and Sonipat, which are situated at the bank of Yamuna canal and comes under agro climatic zone-1. In this study total 1080 farmers from 120 villages in different categories (360 from each group) were interviewed and information on various input in wheat and rice crop production was collected during winter and rainy seasons consecutive two years i.e. 2018-19 and 2019-20. Based on the collected information, all the cultural practices in wheat and rice crop production were identified and converted into energy by using standard energy equivalents. Results showed that total operation-wise energy expenditure by large, medium and small farmer's was 43693.82, 42557.21 and 41915.70 MJ/ha respectively in rice crop production. In case of wheat crop cultivation total operation-wise energy consumed by large, medium and small farmer's was 26472.74, 26576.39 and 25644.18 MJ/ha respectively. In both the crop production irrigation and fertilizer share more than 75 % of the total energy.  Fertilizer alone accounted approximately 40 % 0f total energy followed by irrigation and it was also estimated that large group farmer's consumed more energy as compared to medium and small categories farmers in cultivation of rice and wheat crop. Total source-wise energy expenditure  by large, medium and small farmer's was 39402.40, 36579.49 and 36332.21.70 MJ/ha  respectively in rice crop production. In case of wheat crop cultivation total source-wise energy consumed by large, medium and small farmer's was 19969.47, 20486.03 and 20180.73 MJ/ha respectively. From the study it was concluded that energy consumption has a positive relationship with the yield.

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