scholarly journals Deep ploughing in summer will increase kharif yield

2020 ◽  
Vol 35 (1-2) ◽  
Author(s):  
Shalini Chaturvedi ◽  
Atul Kumar Shrivastava ◽  
Falguni Rathore ◽  
Neelam Bunker
Keyword(s):  
Rabi Crops ◽  
Deep Plowing ◽  
Fixed Period

Harvesting of rabi crops almost free farmers till the last week of March or the first week of April. At this time there is so much moisture in the field that deep plowing can be done easily. Deep plowing of fields in summer is a profitable deal for the Kharif crop, but it should be done on time. There are more benefits from this. There will be no problem of weeding in the field nor will the crops need more water To make kharif cultivation easier, the agriculture department has released a sowing calendar of kharif crops, informing farmers many tricks of kharif cultivation. Agricultural experts say that summer plowing is most important in the production of kharif crops. Yields can increase by up to 50 per cent if plowed in a fixed period.

Impact analysis of adoption of soil testing techniques for providing balance dose of fertilizers for kharif and rabi crops grown in Mandsaur district (M.P.)

2012 ◽  
Vol 2 (8) ◽  
pp. 12-14 ◽  
Author(s):  
H. P. Singh H. P. Singh ◽  
◽  
R. P. S. Shaktawat R. P. S. Shaktawat ◽  
Durga Singh Durga Singh ◽  
S. C. Srivastava S. C. Srivastava
Keyword(s):  
Impact Analysis ◽  
Soil Testing ◽  
Testing Techniques ◽  
Rabi Crops

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

Yields of Sub-humid Rainfed Crops in Relation to Soil Water Retention and Cropping Sequence

1978 ◽  
Vol 14 (3) ◽  
pp. 253-259 ◽  
Author(s):  
H. N. Verma ◽  
S. S. Prihar ◽  
Ranjodh Singh ◽  
Nathu Singh
Keyword(s):  
Water Retention ◽  
Field Experiments ◽  
Sandy Loam ◽  
Sandy Loam Soil ◽  
Yield Response ◽  
Soil Water Retention ◽  
Cropping Sequence ◽  
Loam Soil ◽  
Rabi Crops ◽  
Water Holding

SUMMARYField experiments were conducted for 4 years to study the yield of ‘kharif’ and ‘rabi’ crops grown in sequence on two soils differing in water-holding capacity. The results indicated that drought caused greater reduction in yield of rainy-season crops on loamy sand than on sandy loam soil. In low retentivity soil it was more profitable to raise a single crop of wheat on soil-stored water. In sandy loam soil of higher retentivity, two crops a year gave much higher yields than a single crop. Of the sequences tried, maize followed by wheat gave the highest and most stable yields. For ‘rabi’ crops, stored water showed a better yield response than an equivalent amount of rain during the growing season.

Monitoring of Thermal Degradation of Fireproof Coating

2012 ◽  
Vol 598 ◽  
pp. 379-383 ◽  
Author(s):  
Tomáš Chrebet ◽  
Jozef Martinka ◽  
Karol Balog ◽  
Ivan Hrušovský
Keyword(s):  
Elevated Temperature ◽  
Thermal Degradation ◽  
Fire Resistance ◽  
Air Atmosphere ◽  
Article Deal ◽  
Increasing Temperature ◽  
Fireproof Coating ◽  
Coating Weight ◽  
Fixed Period ◽  
Intended Use

Under the fire conditions, the resistance of cable distribution is required for a fixed period, depending on the intended use of the cable. To increase the fire resistance of cables a fireproof coating may be applied. Article deal with the behavior of the fireproof coating during elevated temperature. Concretely, the aim is monitored a coating weight change under the conditions of dynamically increasing temperature and with or without using air-flow. It is also monitored the change in weight, depending on the isothermal temperatures in dynamic air atmosphere.

scholarly journals School absences and exclusions experienced by children with learning disabilities and autistic children in 2016/17 in England

2018 ◽  
Vol 23 (4) ◽  
pp. 207-212
Author(s):  
Chris Hatton
Keyword(s):  
Learning Disabilities ◽  
Educational Needs ◽  
Physical Assault ◽  
Learning Difficulty ◽  
Special Educational Needs ◽  
Autistic Children ◽  
Content Type ◽  
Health And Social Care ◽  
School Absences ◽  
Fixed Period

Purpose The purpose of this paper is to examine data on absences and exclusions from school amongst children with learning disabilities and autistic children in England in 2016/2017. Design/methodology/approach Data were drawn from Department for Education statistics for the school year 2016/2017 on school absences (authorised and unauthorised) and school exclusions (fixed-period and permanent) for children in the primary special educational needs categories of moderate learning difficulty (MLD), severe learning difficulty (SLD), profound and multiple learning difficulty (PMLD) and autistic spectrum disorder (ASD). Findings Authorised school absence rates were higher for all groups of children investigated compared to children without special educational needs, primarily due to illnesses and health-related appointments. Rates of unauthorised school absences were low. Rates of fixed-period and permanent school exclusions were higher for children with MLD and ASD compared to children without SEN, and lower for children with SLD and PMLD. Reasons given for exclusions were similar across children (persistent disruptive behaviour, physical assault against a pupil, verbal abuse against an adult), although physical assault against an adult was also commonly mentioned for children with SLD, PMLD or ASD. Social implications Reducing school absences for children with learning disabilities and autistic children will involve co-ordination of health and social care support arrangements to ensure they are convenient and efficient for children and families. In terms of exclusions, schools need to consider the extent to which they are making reasonable adjustments for children with learning disabilities and autistic children. Originality/value This paper presents in one place statistics concerning school absences and school exclusions for children with learning disabilities and autistic children in England.

Microstructural characteristics of SiC-B4C reinforced laser alloying composite coatings

2013 ◽  
Vol 20 (4) ◽  
pp. 307-310
Author(s):  
Li Wei
Keyword(s):  
Wear Resistance ◽  
Composite Coating ◽  
Fine Particles ◽  
Composite Coatings ◽  
Substrate Surface ◽  
Laser Alloying ◽  
Wear Process ◽  
High Microhardness ◽  
Deep Plowing ◽  
Coating Matrix

AbstractA hard SiC-B4C reinforced composite coating was fabricated by laser alloying of SiC-B4C+Al-Sn-Mo-Y2O3 mixed powders on a Ti-3Al-2V alloy. Al-Sn-Mo mixed powders were first used in the laser alloying technique to improve the wear resistance of titanium alloys. Proper selection of the laser alloying process parameters allows us to obtain a composite coating with a metallurgical combination with substrate. Under the action of Mo, fine particles with high microhardness were produced in the coating matrix and also hindered the formation of adhesion patches and deep plowing grooves during the sliding wear process, leading to the improvement of wear resistance of a titanium alloy substrate surface.

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