نتایج جستجو برای: cropping system

تعداد نتایج: 2237513  

Journal: :JCS 2017
Tb. Ai Munandar Sumiati

Corresponding Author: Tb Ai Munandar Department of Informatics Engineering, Faculty of Information Technology, Universitas Serang Raya, Banten, Indonesia Email: [email protected], [email protected] Abstract: Nowadays, agricultural field is experiencing problems related to climate change that result in the changing patterns in cropping season, especially for paddy and coarse grains, pulses...

Journal: :Remote Sensing 2015
Betty Mulianga Agnès Bégué Pascal Clouvel Pierre Todoroff

Over the recent past, there has been a growing concern on the need for mapping cropping practices in order to improve decision-making in the agricultural sector. We developed an original method for mapping cropping practices: crop type and harvest mode, in a sugarcane landscape of western Kenya using remote sensing data. At local scale, a temporal series of 15-m resolution Landsat 8 images was ...

Journal: :journal of agricultural science and technology 0
g. buttar department of agronomy, punjab agricultural university, pau, ludhiana, india. h. s. thind pau regional station, dabwali road, bathinda-151001, india. k. s. sekhon pau regional station, dabwali road, bathinda-151001, india. a. kaur pau regional station, dabwali road, bathinda-151001, india. r. gill department of agronomy, punjab agricultural university, pau, ludhiana, india. b. sidhu pau regional station, dabwali road, bathinda-151001, india. m. s. aujla

a long-term field experiment was conducted for 7 years to evaluate the effect of different amendments to mitigate the adverse effect of saline-sodic water in a calcareous soil under cotton-wheat cropping system. the pooled results over 7 years revealed that the application of saline-sodic water decreased the mean cotton-seed yield by 20.7% as compared to good quality canal water. however, wheat...

2000
A. P. Gupta R. Harboe M. T. Tabucanon

The present study dealt with the real-world problem of irrigation water management of evolving suitable cropping pattern, which should be in harmony with optimal operation of the multi-reservoir system in the basin. The Narmada river basin system, comprising 11 reservoirs either existing, planned or under construction, has been ®rst simulated and analyzed. The time horizon used to simulate the ...

2008
Mauritz Vestberg Sanna Kukkonen Hanna Kuru Kaisa Saari Timo Hurme

Comparative studies have usually shown higher yields in conventional cropping systems (CCS) than in organic cropping systems (OCS). By utilizing a long-term field experiment on silt soil with 18 years of cropping history (1982–1999), including three OCSs and one CCS, we studied if this is true also for strawberry. The strawberry experiment was conducted in 2000–2002. The experiment had one CCS ...

2002
Andrew W. Kramer Timothy A. Doane William R. Horwath Chris van Kessel

One of the principal aims of alternative cropping systems is to minimize excessive loss of N while maximizing N use efficiency and meeting crop N requirements. Many such cropping systems substitute intensive application of synthetic fertilizer with organic inputs, such as N2-fixing legumes. The effectiveness of legume residues as a N source for subsequent crops depends heavily on temporal N rel...

2008

The patterns of different cropping systems are highly variable—as diverse as are the crops themselves and the climates, habitats, levels of mechanization, and human customs under which crop production is undertaken. Depending on the part of the world, certain considerations will weigh more heavily than others. In one place primitive methods are appropriate, in another the system is highly mecha...

2016
Deepak Gupta Ravindra Kumar

Feature extraction is an important step of pattern recognition. This study uses profile based feature extraction and uses Simple Profile (with cropping and without cropping image samples), Contour based feature extraction for recognizing handwritten numerals. The features are computed by using 48 X 48 as a feature length classifier used Back propagation neural network for the classification.. T...

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