Alternative Fertilizer Management Methods to Increase Crop Productivity and Farmer Utility

2022 ◽  
Author(s):  
Nicola Thomas
Keyword(s):  
Crop Productivity ◽  
Fertilizer Management

scholarly journals Crop productivity as affected by fertilizer management options in Boro -T.aman cropping pattern at farmers' fields

1970 ◽  
Vol 35 (2) ◽  
pp. 287-296
Author(s):  
M Akkas Ali ◽  
M Robiul Alam ◽  
MSH Molla ◽  
F Islam
Keyword(s):  
Grain Yield ◽  
Crop Productivity ◽  
High Yield ◽  
Cost Ratio ◽  
Cropping Pattern ◽  
Plant Nutrient ◽  
Fertilizer Management ◽  
Gross Margin ◽  
Management Options ◽  
Benefit Cost Ratio

The experiment was conducted at multilocation testing (MLT) site, Sujanagar, Pabna during the year of 2003-2004 to find out a soil test based economically viable fertilizer recommendation for the cropping pattern Boro-T. aman. Six treatments viz., moderate yield goal (MYG), high yield goal (HYG), integrated plant nutrient system (IPNS), recommended fertilizer of FRG' 97 (BARC) guide (RF), farmers' practice (FP), and absolute control were employed for the study. The grain yield of Boro and T. aman rice increased 18 and 14%, respectively, by IPNS compared to farmers' practice. Total grain yield of rice was increased by about 16% in the IPNS fertilizer package compared to farmers' practice. Fertilizer nutrients supplied both from organic and inorganic sources in adequate amount have a positive effect on productivity of soil. On an average it was found that highest grain yields of Boro rice (5.37 t/ha) and T. aman (4.49 t/ha) were obtained from integrated plant nutrient system (IPNS) where farmers’ practice gave yield of 4.55 and 3.94 t/ha. The highest average gross margin (70385 Tk./ha) and marginal benefit cost ratio (3.78) was also obtained from IPNS plots. Keywords: Crop productivity; fertilizer management; cropping pattern. DOI: 10.3329/bjar.v35i2.5892Bangladesh J. Agril. Res. 35(2) : 287-296, June 2010

scholarly journals Assessment Framework Modeling using Location Aware Computing for Fertilizer Management and Crop Recommendation

2019 ◽  
Vol 8 (3) ◽  
pp. 1315-1319
Keyword(s):  
Health Risk ◽  
Crop Yield ◽  
Predictive Analytics ◽  
Soil Analysis ◽  
Soil Nutrient ◽  
Crop Productivity ◽  
Fertilizer Management ◽  
Fertilizer Recommendation ◽  
Yield Production ◽  
Current Scenario

Indian economy mainly depends on the agriculture, which contributes a major part in the growth and development of the nation. This is directly connected to the standard of life of farmers which covers more than 40 percent of the country population. Looking at the current situation of agriculture in India, agricultural productivity in India is not competitive to the world standards. For increasing the crop productivity farmers are forced to use more fertilizers which will end in health risk for the consumers. Lack of a proper knowledge of the effective usage of fertilizers and the changing soil nutrient values are the major problems for a farmer apart from the loss due to climate change and so many other factors. To address the problem , we propose to build an application model 'Prediction On Fertilizer Management for Crop Productivity' which enables the farmers to understand and effectively utilize their money with effective methods of seasonal crops production by providing recent and intimate information about which has to be produced, soil suitability, its nutrient values and soil moisture level which pasteurization management methods, how to apply the fertilizers in larger areas, what amount of water must be given, how to develop a model maps to the current scenario of farm areas. Crop Yield Production is basically an aggregation of crop and fertilizer recommendation, soil analysis, and crop yield calculations based on recent market scenario. Through our model we are revising and correcting the existing system with predictive analytics of the usage of effective fertilizers with less health risk.

scholarly journals Impact Assessment on Adoption of Soil Health Cards for Fertilizer Management in Tiruvallur District

2021 ◽  
pp. 50-55
Author(s):  
R. Manimekalai ◽  
V. A. Vijayashanthi ◽  
P. Yogameenakshi ◽  
P. Santhi ◽  
G. Sathish
Keyword(s):  
Agricultural Production ◽  
Management Practices ◽  
Health Management ◽  
Soil Health ◽  
Crop Productivity ◽  
Fertilizer Application ◽  
Soil Testing ◽  
Fertilizer Management ◽  
Level Of Knowledge ◽  
Land Holdings

Soil Health plays a vital role to ensure agricultural production in a sustainable manner. The basic objective of the soil testing is to provide recommendations to the farmers for the optimum and economic use of fertilizers and better soil management practices to increase agricultural production in their farm. The present study was conducted to analyze the adoption of soil testing and Soil Health Cards for fertilizer management conducted by Krishi Vigyan Kendra (KVK), Tirur, Tiruvallur district. The data revealed that the number of conduct of awareness and training programmes on soil health management and soil samples analysed (30 nos. to 240 nos.) at KVK Tirur increased from 2012 to 2018. Results indicated that highest percentage of beneficiaries belonged to the middle age group of 36-55 years (48.75%) followed old age (37%).  Most of the farmers were practicing agriculture in Semi Medium (28%) followed by medium land holdings (24%) among the SHC beneficiaries and small (35%) and Marginal land holdings (30%) among non-SHC beneficiaries. It was observed that medium level of knowledge was obtained (48%) by SHC beneficiaries followed by high level (20%) whereas 60% of non-beneficiary was having low level of knowledge on SHC. On an average majority of the SHC beneficiary were lying in the medium adoption level (43%) followed by high adoption category (21%). Reason behind the partial adoption and no adoption might be due to their unawareness on the benefits of optimum fertilizer application. Comparative analysis between adopted beneficiaries and SHC non-beneficiaries on crop productivity in paddy, Greengram Blackgram and groundnut indicated 11.66%, 16.12%, 8.67 and 15.10% increase in productivity over non-beneficiaries.

Assessing Yield and Quality of Rice Cultivars (BRRI dhan56 and BRRI dhan71) under Different Fertilizer Management Practices

2021 ◽  
Vol 12 (1-2) ◽  
pp. 109-115
Author(s):  
I Jahan ◽  
F Yasmin ◽  
TS Hoque ◽  
M Hossain ◽  
MA Abedin
Keyword(s):  
Soil Fertility ◽  
Management Practices ◽  
Nutrient Content ◽  
Crop Productivity ◽  
Growth And Yield ◽  
Soil Test ◽  
Fertilizer Management ◽  
Soil Fertility Management ◽  
Science Field ◽  
Yield And Quality

Proper soil fertility management is one of the prime importance in an endeavor to increase crop productivity. Hence, an experiment was conducted at the Soil Science Field Laboratory, BAU, Mymensingh during Aman season of 2017 to investigate the growth and yield performance and rice quality under different fertilizer management. The experiment was laid out in a split plot design with two varieties i.e. (V1) BRRI dhan56 and (V2) BRRI dhan71 in the main plots and four fertilizer treatments such as T1 (Control), T2 (soil test based fertilization), T3 (farmers practice) and T4 (soil test based fertilization and 5 t/ha cowdung) in the subplots with three replications. Results found that, T4 treatment produced the highest grain and straw yield in both varieties. The highest N, P, K, S content (%) and uptake (kgha-1) in both grain and straw were also recorded in T4 treatment. BRRI dhan71 performed better than BRRI dhan56 in terms of yield, nutrient content and uptake. From the combinations of variety x treatment, V2T4 (BRRI dhan71 x Soil test based fertilization and 5 t/ha cowdung) was the best for maintaining rice yield and quality. Therefore, this combination could be recommended with some farmer’s field trials for sustainable rice production without declining soil fertility. Environ. Sci. & Natural Resources, 12(1&2): 109-115, 2019

NITROGEN CYCLES IN CROP ROTATIONS DIFFERING IN FERTILIZATION

2015 ◽  
Author(s):  
Saulius GUŽYS ◽  
Stefanija MISEVIČIENĖ
Keyword(s):  
Crop Rotation ◽  
Soil Nitrogen ◽  
Nitrogen Fertilizer ◽  
Nitrogen Balance ◽  
Mineral Soil ◽  
Crop Productivity ◽  
Drainage Water ◽  
Perennial Grasses ◽  
Crop Rotations ◽  
Cereal Crop

The use of nitrogen fertilizer is becoming a global problem; however continuous fertilization with nitrogen ensures large and constant harvests. An 8 year research (2006–2013) was conducted to evaluate the relationships between differently fertilized cultivated plant rotations. The research was conducted in Lipliunai (Lithuania) in the agroecosystem with nitrogen metabolism in fields with deeper carbonaceous soil, i.e. Endocalcari Endohypogleyic Cambisol (CMg-n-w-can). The research area covered three drained plots where crop rotation of differently fertilized cereals and perennial grasses was applied. Samples of soil, water and plants were investigated in the Chemical Analysis Laboratory of the Aleksandras Stulginskis University certified by the Environment Ministry of the Republic of Lithuania. The greatest productivity was found in a crop rotation with higher fertilization (N32-140). In crop rotation with lower fertilization (N24-90) productivity of cereals and perennial grasses (N0-80) was 11–35 % lower. The highest amount of mineral soil nitrogen was found in cereal crop rotation with higher fertilization. It was influenced by fertilization and crop productivity. The lowest Nmin and Ntotal concentrations in drainage water were found in grasses crop rotation. Crop rotations of differently fertilized cereals increased nitrogen concentration in drainage water. Nmin concentration in water depended on crop productivity, quantity of mineral soil nitrogen, fertilization, and nitrogen balance. The lowest nitrogen leaching was found in the crop rotation of grasses. Cereal crop rotation increased nitrogen leaching by 12–42 %. The usage of all crop rotations resulted in a negative nitrogen balance, which essentially depended on fertilization with nitrogen fertilizer.

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. 

Sign in / Sign up

Export Citation Format

Share Document