scholarly journals Precision Farming Development Centre Hyderabad: The Boon for Local Farmers

2020 ◽  
pp. 167-177
Author(s):  
M. Uma Devi ◽  
Ibrahim Kaleel ◽  
K. Chaitanya ◽  
. Deepika ◽  
B. Srinu ◽  
...  
Keyword(s):  
Crop Production ◽  
Precision Farming ◽  
External Input ◽  
Environment Friendly ◽  
Yield Improvement ◽  
Site Specific ◽  
Development Centre ◽  
Input Use ◽  
The Right ◽  
Local Farmers

Precision farming is the technique of applying the right amount of input (fertilizer, pesticide, water etc.) at the right location at the right time to enhance production, decrease input and/or protect the environment, Site-Specific Crop Management (SSCM), Farming by-the-foot, Farming soils and not fields, Prescription farming, Environmentally-friendly farming & Information-based crop production. Thus, precision farming is an appealing concept and its principles quite naturally lead to the expectation that farming inputs can be used more effectively, with subsequent improvements in profits and environmentally less burdensome production. The precision farming developments of today can provide the technology for the environment friendly agriculture of tomorrow. Especially in the case of small farmers in developing countries like India, precision farming holds the promise of substantial yield improvement with minimal external input use. In order to achieve optimal production with less inputs, Precision Farming Development Centre (PFDC), Hyderabad, Telangana, India, plays important role in Precision farming by reaching local farmers to introduce precision farming techniques. PFDC Hyderabad attracts local farmers with tailor made annual action plans which includes both research and extension part. This study shows how PFDC Hyderabad uplifts both financial and social status of local farmers by introducing them to Precision Farming.

scholarly journals SASAKAWA TECHNOLOGY A PANACEA TO MAIZE YIELD IMPROVEMENT AND MEETING THE VAGARIES OF CLIMATE CHALLENGE IN MUBI

2018 ◽  
Vol 6 (10) ◽  
pp. 194-201
Author(s):  
Mohammed D. Toungos
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Weather Conditions ◽  
Maize Yield ◽  
Field Trials ◽  
External Input ◽  
Climatic Effects ◽  
Yield Improvement ◽  
Maize Production ◽  
Sowing Dates

This study determines the efficacy of Sasakawa technology to maize yield improvement and meeting the demand of the populace in terms of food crop production at the time of unpredictable weather conditions in Mubi. The field trials were conducted during the 2017 cropping season at the teaching and research farm of the Faculty of Agriculture, Adamawa state University Mubi to evaluate the effect of Sasakawa Technology as a panacea to maize yield improvement and meeting the vagaries of climate change in Mubi. Mubi, located in the Northern Guinea Savannah of Nigeria. Mubi is situated between latitude 100 10’’ and 100 30’’ North of the Equator and between longitude 130 10 and 130 30’’ E of the Greenwich meridian and at an altitude of 696 m above mean sea level (MSL). Extra early white (EEW) variety of maize was obtained from Farm office of the University, were sown at three different sowing dates 19th July, 29th July and 8th August, 2018. There was a large yield difference between the Sasakawa Technology of maize production and local farmers’ output in Mubi, despite the limited opportunities to sustainability and increase in the productivity of the crop in order to adapt to vagaries of climate change. Yields recorded during the three sowing dates were 2,967kg/ha, 2,930kg/ha and 2,921kg/ha while on the neighboring farmer’s field was 1,897kg/ha. It indicated that, the Sasakawa technology used in terms of spacing of 25cm x 25cm between plants and 75cm x75cm between rows, single seed per stand and appropriate fertilizer application increased maize yield more than the neighboring farmers fields. The Sasakawa technology recorded mostly two cobs per stand, longer cobs mean lengths with maximum grain filled and the grains were significantly bigger when compared to the farmer’s fields. Even though some critics argue that, Sasakawa Global 2000 technology deals with high-external-input technologies (HEIT) which are too costly to some farmers, but the out – put out weights the input in terms of yields, economic returns and also sustained the vagaries of climatic effects due to timely sowing and maintenance of the Sasakawa technology techniques. To boost maize production in Mubi and at this time of unpredictable climate and its effects, the Sasakawa technology is recommended to be adopted by the farmers.

scholarly journals Image recognition in the artificial agriculture officer

2018 ◽  
Vol 7 (3.3) ◽  
pp. 119
Author(s):  
B Lokesh ◽  
Ravoori Charishma ◽  
Natuva Hiranmai
Keyword(s):  
Neural Networks ◽  
Information Retrieval ◽  
Search Engine ◽  
Convolutional Neural Networks ◽  
Image Recognition ◽  
Crop Production ◽  
Android Application ◽  
Weather Patterns ◽  
Crop Diseases ◽  
The Right

Farmers face a multitude of problems nowadays such as lower crop production, tumultuous weather patterns, and crop infections. All of these issues can be solved if they have access to the right information. The current methods of information retrieval, such as search engine lookup and talking to an Agriculture Officer, have multiple defects. A more suitable solution, that we are proposing, is an android application, available at all times, that can give succinct answers to any question a farmer may pose. The application will include an image recognition component that will be able to recognize a variety of crop diseases in the case that the farmer does not know what he is dealing with and is unable to describe it.  Image recognition is the ability of a computer to recognize and distinguish between different objects, and is actually a much harder problem to solve than it seems. We are using Tensorflow, a tool that uses convolutional neural networks, to implement it  

scholarly journals Benefits and Limitations of Decision Support Systems (DSS) with a Special Emphasis on Weeds

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 548 ◽  
Author(s):  
Panagiotis Kanatas ◽  
Ilias S. Travlos ◽  
Ioannis Gazoulis ◽  
Alexandros Tataridas ◽  
Anastasia Tsekoura ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Weed Management ◽  
Crop Production ◽  
Support Systems ◽  
Management Strategies ◽  
Farming Systems ◽  
Climatic Conditions ◽  
Management Options ◽  
The Right

Decision support systems (DSS) have the potential to support farmers to make the right decisions in weed management. DSSs can select the appropriate herbicides for a given field and suggest the minimum dose rates for an herbicide application that can result in optimum weed control. Given that the adoption of DSSs may lead to decreased herbicide inputs in crop production, their potential for creating eco-friendly and profitable weed management strategies is obvious and desirable for the re-designing of farming systems on a more sustainable basis. Nevertheless, it is difficult to stimulate farmers to use DSSs as it has been noticed that farmers have different expectations of decision-making tools depending on their farming styles and usual practices. The function of DSSs requires accurate assessments of weeds within a field as input data; however, capturing the data can be problematic. The development of future DSSs should target to enhance weed management tactics which are less reliant on herbicides. DSSs should also provide information regarding weed seedbank dynamics in the soil in order to suggest management options not only within a single period but also in a rotational view. More aspects ought to be taken into account and further research is needed in order to optimize the practical use of DSSs for supporting farmers regarding weed management issues in various crops and under various soil and climatic conditions.

Combined effects of rhizo-competitive rhizosphere and non-rhizosphere Bacillus in plant growth promotion and yield improvement of Eleusine coracana (Ragi)

2020 ◽  
Vol 66 (2) ◽  
pp. 111-124 ◽  
Author(s):  
Shrivardhan Dheeman ◽  
Nitin Baliyan ◽  
Ramesh Chandra Dubey ◽  
Dinesh Kumar Maheshwari ◽  
Sandeep Kumar ◽  
...  
Keyword(s):  
Plant Growth ◽  
Plant Growth Promotion ◽  
Crop Production ◽  
Growth Promotion ◽  
Soil Analysis ◽  
Crop Protection ◽  
Sclerotium Rolfsii ◽  
Eleusine Coracana ◽  
Soil Reclamation ◽  
Yield Improvement

This study emphasizes the beneficial role of rhizo-competitive Bacillus spp. isolated from rhizospheric and non-rhizospheric soil in plant growth promotion and yield improvement via nitrogen fixation and biocontrol of Sclerotium rolfsii causing foot rot disease in Eleusine coracana (Ragi). The selection of potent rhizobacteria was based on plant-growth-promoting attributes using Venn set diagram and Bonitur scale. Bacillus pumilus MSTA8 and Bacillus amyloliquefaciens MSTD26 were selected because they were effective in root colonization, rhizosphere competence, and biofilm formation using root exudates of E. coracana L. rich with carbohydrates, proteins, and amino acids. The relative chemotaxis index of the isolates expressed the invasive behavior of the rhizosphere. During pot and field trials, the consortium of the rhizobacteria in a vermiculite carrier increased the grain yield by 37.87%, with a significant harvest index of 16.45. Soil analysis after the field trial revealed soil reclamation potentials to manage soil nutrition and fertility. Both indexes ensured crop protection and production in eco-safe ways and herald commercialization of Bacillus bio-inoculant for improvement in crop production and disease management of E. coracana.

scholarly journals Morais Ultramafic Complex: A Survey towards Nickel Phytomining

Resources ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 144 ◽  
Author(s):  
Ana R. A. Alves ◽  
Eduardo F. Silva ◽  
Luís A. B. Novo
Keyword(s):  
Crop Production ◽  
Soil Samples ◽  
High Concentration ◽  
Additional Source ◽  
Aerial Parts ◽  
Ultramafic Complex ◽  
Nickel Accumulation ◽  
Alyssum Serpyllifolium ◽  
Local Farmers

Ultramafic areas are critical for nickel (Ni) phytomining due to the high concentration of this element in their soils and the number of hyperaccumulators they harbor. The aim of the present study was to evaluate the potential of the Morais massif, an ultramafic area in Portugal, for phytomining using the hyperaccumulator species Alyssum serpyllifolium subsp. lusitanicum. Soil samples and A. serpyllifolium specimens were collected in four locations of the Morais massif. After determination of Ni concentrations in the samples, the results show that soil pseudo-total Ni concentrations in sites number 1 and 2 are significantly higher than in the soil samples collected in the other two locations, with 1918 and 2092 mg kg−1, respectively. Nickel accumulation is significantly greater in the aerial parts of plants collected at sites 1, 2, and 4, presenting Ni harvestable amount means of 88.36, 93.80, and 95.56 mg per plant, respectively. These results suggest that the sites with highest potential for phytomining are sites 1, 2, and 4. A nickel agromining system in these locations could represent an additional source of income to local farmers, since ultramafic soils have low productivity for agriculture and crop production.

The role of ex ante regulations in addressing problems of moral hazard in agricultural insurance

2002 ◽  
Vol 62 (2) ◽  
pp. 103-116 ◽  
Author(s):  
Calum G. Turvey ◽  
Michael Hoy ◽  
Zahirul Islam
Keyword(s):  
Moral Hazard ◽  
Crop Production ◽  
Insurance Coverage ◽  
Agricultural Insurance ◽  
Agricultural Producers ◽  
Growing Seasons ◽  
Input Use ◽  
The Cost ◽  
Input Level

We develop a theoretical model of input use by agricultural producers who purchase crop insurance, and thus may engage in moral hazard. Through simulations, our findings show a combination of partial insurance coverage and partial monitoring of inputs may reduce substantially the problems associated with moral hazard. The minimum level of input use that must be required by regulation is determined to be substantially lower than the optimal or actual input level chosen by producers. Because the use of inputs for crop production occurs in many stages over the pre‐planting, planting, and growing seasons, only a minimal input requirement is needed. Thus, the cost of implementing such a regulation can be kept much lower than would be the case for a regulation of complete monitoring of input usage.

Accounting for adaptation in assessing impact of climatic variations on crop yields: an empirical study of Arizona

2015 ◽  
Vol 7 (1) ◽  
pp. 224-239 ◽  
Author(s):  
Haoying Wang
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Crop Yields ◽  
Positive Impact ◽  
Spillover Effects ◽  
Climatic Variation ◽  
Fertilizer Use ◽  
Climatic Variations ◽  
Input Use ◽  
Effects Of Temperature

The goal of this paper is to analyze the impacts of climatic variation around current normals on crop yields and explore corresponding adaptation effects in Arizona, using a unique panel data. The empirical results suggest that both fertilizer use and irrigation are important adaptations to climate change in crop production. Fertilizer use has a positive impact on crop yields as expected. When accounting for irrigation and its interaction with temperature, a moderate temperature increase tends to be beneficial to both cotton and hay yields. The empirical model in this paper features with two methodological innovations, identifying the effects of temperature change conditional on adaptations and incorporating potential spatial spillover effects among input use.

scholarly journals Diffuse Cutaneous Metastases as the Only Sign of Extranodal Tumor Spread in a Patient with Adenocarcinoma of the Colon

ISRN Surgery ◽  
2011 ◽  
Vol 2011 ◽  
pp. 1-3 ◽  
Author(s):  
Serenella Civitelli ◽  
Barbara Civitelli ◽  
Jacopo Martellucci ◽  
Gabriello Tanzini
Keyword(s):  
Right Colon ◽  
Cutaneous Metastases ◽  
Tumor Spread ◽  
Site Specific ◽  
Poorly Differentiated Adenocarcinoma ◽  
Anatomical Relationship ◽  
Poorly Differentiated ◽  
Adenocarcinoma Of The Colon ◽  
The Right ◽  
A Site

Cutaneous metastases from large bowel cancer are uncommon and are usually associated with organ involvement. Localization of lesions to the skin is mainly attributed to vascular and anatomical relationship, since most of them are seen in the abdominal wall or in a surgical scar. We report a 73-year-old woman in whom metastatic nodules from a poorly differentiated adenocarcinoma of the right colon developed throughout the skin (buttock, trunk, chest wall, arms, and neck) and remained the only sign of extranodal tumor spread until patient's death, seven months later. This unusual behaviour suggests that localization of neoplastic cells to the skin may be a site-specific process, determined by adhesion molecules and/or by growth factors found at that site.

Delineating site-specific management zones for precision agriculture

2015 ◽  
Vol 154 (2) ◽  
pp. 273-286 ◽  
Author(s):  
H. U. FARID ◽  
A. BAKHSH ◽  
N. AHMAD ◽  
A. AHMAD ◽  
Z. MAHMOOD-KHAN
Keyword(s):  
Spatial Variability ◽  
Grain Yield ◽  
Precision Farming ◽  
Farming Practices ◽  
Wheat Grain ◽  
Site Specific ◽  
Management Zones ◽  
Management Zone ◽  
Specific Management ◽  
Landscape Attributes

SUMMARYDelineating site-specific management zones within fields can be helpful in addressing spatial variability effects for adopting precision farming practices. A 3-year (2008/09 to 2010/11) field study was conducted at the Postgraduate Agricultural Research Station, University of Agriculture, Faisalabad, Pakistan, to identify the most important soil and landscape attributes influencing wheat grain yield, which can be used for delineating management zones. A total of 48 soil samples were collected from the top 300 mm of soil in 8-ha experimental field divided into regular grids of 24 × 67 m prior to sowing wheat. Soil and landscape attributes such as elevation, % of sand, silt and clay by volume, soil electrical conductivity (EC), pH, soil nitrogen (N) and soil phosphorus (P) were included in the analysis. Artificial neural network (ANN) analysis showed that % sand, % clay, elevation, soil N and soil EC were important variables for delineating management zones. Different management zone schemes ranging from three to six were developed and evaluated based on performance indicators using Management Zone Analyst (MZA V0·1) software. The fuzziness performance index (FPI) and normalized classification entropy NCE indices showed minimum values for a four management zone scheme, indicating its appropriateness for the experimental field. The coefficient of variation values of soil and landscape attributes decreased for each management zone within the four management zone scheme compared to the entire field, which showed improved homogeneity. The evaluation of the four management zone scheme using normalized wheat grain yield data showed distinct means for each management zone, verifying spatial variability effects and the need for its management. The results indicated that the approach based on ANN and MZA software analysis can be helpful in delineating management zones within the field, to promote precision farming practices effectively.

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