This document discusses how management information systems (MIS) can help farmers in agriculture. It begins by providing background on strengths, weaknesses, opportunities and threats to agriculture. It then discusses how MIS could provide farmers with weather forecasts, market prices, guidance on fertilizer usage, and access to government resources via kiosks. The rest of the document covers assumptions about farmers, stakeholders, predictive analytics for weather forecasting, a content management system to connect farmers to resources, decision support systems, use of cloud computing and big data, supply chain management, and how MIS could integrate with banking, education and other industry systems to help farmers.
FASAL, is an Artificial Intelligence (AI) powered IoT platform, helps farmers to make a data-driven decision.
In the slides you will understand, how the Fasal is acquiring customers and maintaining relationship.
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
FASAL, is an Artificial Intelligence (AI) powered IoT platform, helps farmers to make a data-driven decision.
In the slides you will understand, how the Fasal is acquiring customers and maintaining relationship.
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
Distribution channels involved in agribusinessAjit Majumder
Introduction
The marketing of agricultural commodities is poor in India. Global marketing network is not that developed for agricultural commodities. The Marketing channels for agricultural products vary from product to product, production to production and time to time. E.g. Marketing channels for food grains will differ from oil seeds, eggs, and live poultry.
The uniqueness of Agricultural Products :
Marketing of agricultural commodities is different from the industrial manufactured products
Agricultural products are perishable in nature and the period of perishability varies from a few hours to few months
Farm products are produced in a particular season and bulky in nature
Transportation and storage are difficult as well as expensive
Quality of the products varies farm to farm.
Uncertainty of agricultural production
Most of the farmers are either marginal or small.
Distribution Channel in India is a multilayer structure. And there are multiple nos of middlemen responsible for delivering agriculture products from producer to consumer. Farmers with land less than 0.5 ac usually go to nearer market and keep selling their grains, vegetables, live stocks, etc weekly. Farmers with land not more than 5 ac mostly sell their produce in nearer market or other weekly market. Farmers with land more than 0.5 ac tends to choose different modes of channel.
In this ppt presentation the role, need and sources of credit in Indian agriculture are listed clearly explained which will be very useful for the economics and finance students. here, we have discussed about the institutional credit agencies and non institutional credits and various government schemes.
TRANSFORMATION TRENDS IN AGRICULTURE VIS-À-VIS AGRIBUSINESS OPPORTUNITIES
Rin Rose Antony and Dr. Allan Thomas
Kerala Agricultural University
Agriculture is undergoing a huge transformation. In the past, agriculture was seen as a subsistence activity of farmers involving crop and livestock production. Today, agriculture has transformed as technology and market-oriented industry which extends from agricultural production to sophisticated agri-science, and agribusiness.Agricultural transformation is defined as a process that leads to higher productivity farms that are commercially oriented, which strengthens the link between farming and other sectors of the economy. The experience of the evolution of the agricultural sector over centuries tells us that the sector has evolved from being a basic food-gathering activity to an intensive production system due to population growth, increase in income, urbanization, technological revolution, and liberalization of international trade.The agricultural sector has tremendous potential for expansion of employment opportunities and consequently mitigating the levels of rural poverty. Agricultural transformation coupled with forward and backward linkages with industry is an emerging phenomenon (Chengappa, 2004). Achieving high growth is important. But, growth without inclusiveness and sustainability will not be useful. Agriculture transformation has to be viewed more holistically in terms of rural transformation and urban linkages. Hence there is a need to give a big push for Indian agriculture for transformation that helps in realizing farmers’ welfare.
Credit Seminar Presentation of PG student Ms. Rin Rose Antony
Explains the role of information and knowledge in agricultural marketing, shares the initiatives by Government, private, NGOs and farmers organisations, indicates ICT advances which transform agricultural research-extension-marketing scenarios.
Distribution channels involved in agribusinessAjit Majumder
Introduction
The marketing of agricultural commodities is poor in India. Global marketing network is not that developed for agricultural commodities. The Marketing channels for agricultural products vary from product to product, production to production and time to time. E.g. Marketing channels for food grains will differ from oil seeds, eggs, and live poultry.
The uniqueness of Agricultural Products :
Marketing of agricultural commodities is different from the industrial manufactured products
Agricultural products are perishable in nature and the period of perishability varies from a few hours to few months
Farm products are produced in a particular season and bulky in nature
Transportation and storage are difficult as well as expensive
Quality of the products varies farm to farm.
Uncertainty of agricultural production
Most of the farmers are either marginal or small.
Distribution Channel in India is a multilayer structure. And there are multiple nos of middlemen responsible for delivering agriculture products from producer to consumer. Farmers with land less than 0.5 ac usually go to nearer market and keep selling their grains, vegetables, live stocks, etc weekly. Farmers with land not more than 5 ac mostly sell their produce in nearer market or other weekly market. Farmers with land more than 0.5 ac tends to choose different modes of channel.
In this ppt presentation the role, need and sources of credit in Indian agriculture are listed clearly explained which will be very useful for the economics and finance students. here, we have discussed about the institutional credit agencies and non institutional credits and various government schemes.
TRANSFORMATION TRENDS IN AGRICULTURE VIS-À-VIS AGRIBUSINESS OPPORTUNITIES
Rin Rose Antony and Dr. Allan Thomas
Kerala Agricultural University
Agriculture is undergoing a huge transformation. In the past, agriculture was seen as a subsistence activity of farmers involving crop and livestock production. Today, agriculture has transformed as technology and market-oriented industry which extends from agricultural production to sophisticated agri-science, and agribusiness.Agricultural transformation is defined as a process that leads to higher productivity farms that are commercially oriented, which strengthens the link between farming and other sectors of the economy. The experience of the evolution of the agricultural sector over centuries tells us that the sector has evolved from being a basic food-gathering activity to an intensive production system due to population growth, increase in income, urbanization, technological revolution, and liberalization of international trade.The agricultural sector has tremendous potential for expansion of employment opportunities and consequently mitigating the levels of rural poverty. Agricultural transformation coupled with forward and backward linkages with industry is an emerging phenomenon (Chengappa, 2004). Achieving high growth is important. But, growth without inclusiveness and sustainability will not be useful. Agriculture transformation has to be viewed more holistically in terms of rural transformation and urban linkages. Hence there is a need to give a big push for Indian agriculture for transformation that helps in realizing farmers’ welfare.
Credit Seminar Presentation of PG student Ms. Rin Rose Antony
Explains the role of information and knowledge in agricultural marketing, shares the initiatives by Government, private, NGOs and farmers organisations, indicates ICT advances which transform agricultural research-extension-marketing scenarios.
MIS 16 Application of MIS (Service Sector)Tushar B Kute
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
During the growth of a competitive global environment, there is considerable pressure on most organisations to make their operational, tactical, and strategic process more efficient and effective.
An information system (IS) is a group of components which can increase the competitiveness and gain better information for decision making. Consequently, many organisations decide to implement IS in order to improve the effectiveness and efficiency of their organisations
Information systems have become a major function area of business administration. The systems, nowadays, plays a vital role in the e-business and e-commerce operations, enterprise collaboration and management, and strategic success of the business
T6: Partnership and Knowledge Sharing for DevelopmentFAO
T6: Making research and science reach farmers and end users - The above presentation was presented during the poster session for Market Place of the LWD in 17 December 2013. Agricultural Knowledge and Information Systems for Rural Development and Food Security Improvement, By Dr. Magdi Latif, Knowledge Outreach and Capacity Development Division - FAO of the United Nations, , Land and Water Days in Near East & North Africa, 15-18 December 2013, Amman, Jordan
Improving Agriculture Water Productivity in the Region“Investment in Irrigat...FAO
Improving Agriculture Water Productivity in the Region“Investment in Irrigation in MENA”,Lessons from World Bank portfolio and water sector studies, Presented by Qun Li, Senior Operational Officer- World Bank, Land and Water Days in Near East & North Africa, 15-18 December 2013, Amman, Jordan
[Webinar recording in last slide or at https://youtu.be/DMg9UI7Ur0M, 26/3/2018]
As part of its work on farmers’ data rights and following up on the face-to-face course on Farmers’ Access to Data organized in Centurion in November 2017, GFAR collaborates with the Global Open Data for Agriculture and Nutrition initiative (GODAN) and the Technical Center for Agricultural and Rural Cooperarion (CTA) on a series of webinars on data-driven agriculture, its opportunities and its challenges.
Overview of webinar #3
This webinar is a continuation of exploring digital agriculture for smallholder farmers. The first webinar provided an overview of digital agriculture, the trends impacting it, and it advantages and challenges for smallholder farmers. The second identified specific data needed by farmers, as well as potential sources.
“Crossing the Donga” will provide smallholder farmers, and those who support them, specific methods for ensuring farmer-centric solutions. The webinar will examine some of the key challenges that are blocking adoption of digital architecture by smallholder farmers. Attendees will learn a process for mapping their data needs, based on their goals and key tasks. Attendees will learn the foundational market model, and how to create value for success.
About the presenter
Dan Berne is a highly regarded professional business growth strategist with over 30 years’ experience. Dan led the effort to create an Ag Irrigation market strategy for the Northwest Energy Efficiency Alliance (NEEA). He also conducted grower experience studies to help identify barriers to grower adoption of energy saving practices. Dan wrote or co-wrote many of the NEEA Ag Irrigation reports. Dan serves as the Project Manager on AgGateway’s Precision Ag Irrigation Language data standards project. He is an affiliate of the Chasm Institute, and a certified practitioner of Innovation Games.
Dan started the “Lagom Ag Initiative” within his company to help accelerate the adoption of precision farming practices and improve the use of digital agricultural methodologies. Lagom is a Swedish word that means “just enough.” It is also used to mean “simply perfect.” It fits our philosophy of helping farmers use just enough water, just enough fertilizers, just enough energy to be profitable while increasing or maintaining yield.
Alejandro Nin-Pratt, Jawoo Koo, and David J Spielman, International Food Policy Research Institute
Presented at the ReSAKSS-Asia conference “Agriculture and Rural Transformation in Asia: Past Experiences and Future Opportunities”. An international conference jointly organized by ReSAKSS-Asia, IFPRI, TDRI, and TVSEP project of Leibniz Universit Hannover with support from USAID and Deutsche Forschungsgemeinschaft (DFG) at the Dusit Thani Hotel, Bangkok, Thailand December 12–14, 2017.
Better ways of using Analytics in Agriculture in indiaYagnesh Shetty
Received the 1st Prize for this Research Paper presentation on Better Ways of using Analytics in Agriculture in India. Undertook Primary and Secondary Research to understand innovations in the agricultural sector that could transform the productivity levels and yeild/hectare for Indian farms. Did a comparative study of the Global scenario and made recommendations for Indian scope.
How tech enabled agriculture ventures are offering farm related services via ...madhavlankapati
Current Indian farmer scenario and how Indian farmer come together and create group for selling farm product.
they come to gather with mobile apps and use latest technology to save crops and products.
Digital Agriculture – A key enabler for nutritional security and SDGs by Dr D...ICRISAT
Digital Agriculture - ICT and data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable while delivering safe nutritious and affordable food for ALL.
The journal publishes original works with practical significance and academic value. Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, and public sector management. IJMRR is an international forum for research that advances the theory and practice of management. IJMRR is an international forum for research that advances the theory and practice of management. Organizational Behaviour, Rural Marketing, Business & Ethics International, Business & Ethics International, Business & Ethics International. All papers submitted to IJMRR are subject to a double-blind peer review process. All papers submitted to IJMRR are subject to a double-blind peer review process.
Delivering information products to small-scale farmers: IRRI's experience wit...CIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
In the last few decades, India has experienced rapid economic and Agricultural growth, supported by solid increases in crop yields, due to increased cropping intensity and greater area devoted to food crops. India is the top producer of milk, pulses and jute in the world. It ranks second in the production of rice, wheat, sugarcane, groundnut, vegetables, fruit and cotton. India also is a leading producer of spices, fish, poultry, livestock and plantation crops. However, India’s sustained economic development has no significant impact on world markets.
India’s policy effort to support farmers, promote rural development, and at the same time address food insecurity has been, and is now, very significant. A range of supply side programmes such as input subsidies for fertilisers, irrigation, electricity and farm credit, coupled with investments in irrigation, are designed to encourage higher yields and production. A range of market support prices are set to cover costs and improve farmer returns. High food subsidies are given to help poor consumers. In September 2013, India enacted a new National Food Security Act (NFSA), which is now implementing the most ambitious “right to food” programme yet to be applied in history, covering over 800 million people and providing 60 kg of food grain per person each year at prices that are about 10% of current retail prices for food grains.
However, despite its growth, the role of agriculture in India’s economy has been declining sharply as other sectors, particularly services, have grown more quickly. Primary agriculture accounted for about 14% of national gross domestic product (GDP) in 2012, down from close to 30% in 2000. But, while there has been a reduction in the share of agriculture in GDP, a commensurate reduction in its employment share has not taken place. Primary agriculture still employs around half of the Indian population, and it is the main driver of employment in rural areas, where 68% of the population live. Potential yield gaps remain, and concerns about the sustainability of growth in production are mounting. Rural labour costs are rising, water supplies are being depleted and smaller farm sizes due to fragmented land holdings potentially impede the capture of economies of scale. Natural calamities like drought and floods are adding to these woes, creating a severe agrarian crisis in the country with large number of farmers resorting to suicides.
Major concerns have centred on food insecurity in the presence of trade surpluses, and how to invigorate agriculture to promote growth and employment in populous rural communities, where unlike the experience of most countries, the size of average land holdings continues to decline. About one-quarter of the world’s food insecure people are within India, and improving its nutritional status remains a significant challenge.
However, despite the challenges, a big potential for positive Agriculture growth exists in the country with i
Business Plan for Indian Health Care IndustryVenkatesh Kg
Business Plan in using SAAS in Health Care sector to improve customer retention & enhance new customer acquisition for multi-speciality hospitals in India.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. Introduction
Strengths
ThreatsOpportunity
Weakness
•Every day need of people.
•Subsidy on fertilizers .
•Government’s initiation to
support kiosk for every 10 kms.
•Poor storage facility
•Poor market for selling farmer’s
products.
•Farmers unaware of the
suitable crop for their land and
fertilizers required.
•Increasing population growth
fuelling the need for
agricultural products.
•Government’s proposal to
come up with soil card enables
farmers know the right
fertilizers required for their
land.
•Government’s support for
fertilizer industries in India.
•Unpredictable weather
condition.
•Excessive use of chemical
fertilizers and pesticides
degrading the soil quantity.
Assumptions about the client
• We assume the farmer to be of upper
middle class .
•Like many farmers he is unaware of the
right quantity of fertilizers required for the
crop.
•Like in many part of India, we assume rain
is uncertain even at his location.
•Like many farmers in India, we assume our
farmer is facing issues in selling his
agricultural products at a right market at an
appropriate price.
•The farmer can access the kiosks to get
weather and other information.
Assumptions &
Stakeholders Analytics
Seeding,
Watering &
Fertililization
Harvesting &
Returns
Finance
Re-
engineering &
Technology
SWOT Analysis
3. Assumptions &
Stakeholders Analytics
Seeding,
Watering &
Fertililization
Harvesting &
Returns
Finance
Re-
engineering &
Technology
• Equipment manufacturers
• Government / dealers purchasing our farm products.
• Technology facilitators.
• Bank and other micro financial bodies.
Stake holders :
Climatic condition
Crop decision
Agricultural Model
Water
availability
Soil
Pest and
fertilizer
utilization
Forecasted with
the aid of
Analytics
Government
profiling of soil
(soil card)
Scientific
farming via
social
Sales of agricultural
product Warehousing
Mobile based
devices
MIS
How MIS can help
•Using MIS technology, farmer can get to
know the on going price in the market.
Accordingly he can assess the selling
price.
•Farmer can also get to know as where
he can get a better price. So he can sell
at the particular dealer/ location.
•He can get to know the forecast of the
weather and plan cultivation
accordingly.
•Use mobile call centre facility provided
by government on the usage of
fertilizers using MIS facilities.
•Government’s plan of having kiosks at a
distance of 10kms from one another can
be tapped to get information of weather
forecast/ rain fall expected, possible
pesticides for fungal/ bacterial infections
for crops.
4. Assumptions &
Stakeholders Analytics
Seeding,
Watering &
Fertililization
Harvesting &
Returns
Finance
Re-
engineering &
Technology
Weather forecasting : Predictive Analytics
Present data
Previous
forecast
Time
Quality
control
Assimilation
of Data
Forecast
run
Post
Processing
Forecast
weather
Forecasting Model
•Collect the data for the present which has been forecasted before .
•Quality control eliminates the measurements of the observed which are lying significantly higher / lower than that of
the observed value. These if included affects our future forecast because they are outliers.
•We then properly format the data required for forecasting.
•Setting the boundary conditions in which our forecast will be consistent.
•Running the forecast.
5. Assumptions &
Stakeholders Analytics
Seeding,
Watering &
Fertililization
Harvesting &
Returns
Finance
Re-
engineering &
Technology
Content Management System
Agriculture Kiosks
Infrastructure
support
Cloud service
Bank/ micro financial
agencies
Tractor/ machine
providers
Pesticide / fertiliser
provider
Government/
purchasing dealers
Other farmers
•The key entity in CMS model for agriculture is interaction of farmers with kiosk. Here farmers can come and access
the computer placed in kiosk and get information on weather forecast, new technology in agriculture , updates on
general agriculture practices.
•Farmers purchase fertilisers/ pesticides and other chemicals required for agriculture. They also purchase tractors or
take it for lease for a stipulated period of time.
•Short- term loans for operational activities and long-term loans for fixed asset / equipment purchase are financed
by banks and other micro economic institutes.
•Government purchase a good percentage of agricultural price at a reasonable price . In addition to this, even many
private dealers/ procurers also purchase agricultural products from the farmers.
DBMS
6. Assumptions &
Stakeholders
Analytics
Seeding,
Watering
Fertililization
Harvesting
& Returns
Marketing Finance
Re-
engineering
& Technology
Decision Support System : Seeding
Database Management
System ()
Analysis for decision
making
Meteorological data
Market demand and
variation in price
Dealer’s status
Soil Test
outcome
Ploughing of land Seeding
•They abstract data and information to a higher level to
enable decision making.
•Government provides soil cards to each farmers to
assess their soil quality, fertilisers suitable for a
particular crop in their farm land. With this farmers
would have a list of suitable crops cultivable in their
plot.
•Using Social model of SMAC technology, farmers can
interact with one another and their by can get to know
the changing demands and cultivate crops accordingly to
maximize their profits.
•Farmers can access the weather conditions by accessing
the service offered in kiosks. By this , they can plan
cultivation accordingly.
•Farmers can also have a co-operative understanding
with the dealers. As and when the dealer’s stock is
about to get depleted, farmers can be messaged the
need for the product. This reduces the overall overhead
involved (eg : Increased warehousing can be minimised.)
Water availability
7. Assumptions &
Stakeholders
Analytics
Seeding,
Watering
Fertililization
Harvesting
& Renture
Marketing Finance
Re-
engineering
& Technology
Decision Support System : Harvesting time
Database Management
System (DBMS)
Analysis for decision
making
Meteorological data
Market demand and
variation in price
Dealer’s status
Pathogenic
break
breakthrough
Plucking scheduling Replenishment scheduling
•The availability of storage facility for the agricultural
produce is a major influencing factor for appropriate
harvesting period.
•Mobile communication between dealers and farmers
to dynamically inform requirement / scarcity.
•Market’s demand for the product at the earliest.
•If their is a pathogenic outbreak , then their is a high
probability of the crops getting infected. So if their is
an infection outbreak, then harvesting at the earliest
is very essential.
•Based on the above mentioned considerations, we
can predict the appropriate harvesting time.
Warehouse
availability
Resource availability
Market
8. Assumptions &
Stakeholders
Analytics
Seeding,
Watering
Fertililization
Harvesting
& Renture
Marketing Finance
Re-
engineering
& Technology
CLOUD
BIG DATA
Warehouse
Availability
Current Market
Requirement
Population and
food requirement
forecast
Analytics
Market needs for
produce
Warehouse planning
• Sharing of warehouses – Farmers having
partly empty or empty warehouses can
utilize the space by renting it to farmers
having excess farm produce.
• Current Market requirements can put
into the cloud by the government for
optimum farm produce.
• Population forecast by the government
and other agencies will lead to not
having unnecessary farm produce.
• All these will be stored in the bigdata
which will be in the cloud.
• Analytics will be done on them to
provide the end producers – farmers in
an optimum level. For any excess
produce which is due to wrong
production can be put in the warehouse
for future use or for export.
Current problems:-
• Excess produce
• No warehouse for excess capacities
• Distribution of farm produce
9. Assumptions &
Stakeholders
Analytics
Seeding,
Watering &
Fertililization
Harvesting
& Returns
Marketing Finance
Re-
engineering
& Technology
SCM in agriculture
• Using the kiosks for farmers the
farm produce can be put in the
cloud.
• The processors can accordingly
pick up the farm produce and put
them to distributors and
distributors to retailers .
• The penultimate customers-
retailers can order the farm
produce after checking the data
from the cloud.
• Processors will collect from
multiple farmers and distribute to
multiple distributors .
Farmer
Village Trader
Commission
Agent
Farmer’s market
Wholesaler
Exporter Retailer Consumer
Marketing channels for onions in
Tamil Nadu
10. Assumptions &
Stakeholders
Analytics
Seeding,
Watering
Fertililization
Harvesting
& Renture
Marketing Finance
Re-
engineering
& Technology
Currency exchange
rate
Current market price
Present food stock in
domestic &foreign
countries
CLOUD
BIGDATA
Analytics
Time to Market Price to pitch in with
• Rupee to dollar exchange rate
is included in system.
• The current market price in the
foreign markets is also feed in
to have a holistic view.
• The current food stock in the
world is feed in to make the
farmers get a right time to
market and also the right time
to pitch in to sell their
produce.
11. SMAC in ERP – SAP-
HANA
• SAP- HANA will be
implemented for the same.
- Real time business
- Smarter and faster service
- Single platform
• Data will be cascaded to the
end users through mobile
phones and Kiosks
• Kiosks will be used as an input
for the queries and concerns
from the farmers
• The outer layer will be the user
driven experience which will
encompass the SAP Business
suit.
• The entire Analytics will be
done in the SAP Business suit.
• The entire data will be stored
in the cloud for real time
processing.
12. Banking
Information
system.
• For a quicker approach for
harvesting
• Buying the right pesticide
for the crop
• Pre approved micro finance
available from the bank.
• Data exchange is enabled
between the two systems.
AIS
CLOUD
Time to
harvest
Types of
Fertilizers
needed
Time to market
Analytics on fund
management
BIS and AIS Connection
13. AIS and EIS connection
AIS
Analytics in data
EIS(Education Information System)
CLOUD
DARE ICAR
CLOUD
• DARE- Department Of
Agriculture and Education
will conduct education
sessions for the farmers .
• Members of DARE can
have live projects enabling
a symbiotic environment
with the farmers.
• ICAR- Indian Council for
Agricultural Research will
provide innovative ways
for farming.
• Data from AIS about the
farmers will be sent to EIS
for more data analytics.
14. Quality Issues
Assurance Issues
High level of automation from HANA drives cost savings , staff efficiency
and round the clock quality assurance
Testing Issues
Validity of data is being checked .
Mainly done by predictive analysis from the past data.
15. Business Process Model
Government
bodies
Private Dealers
BPM Suite
Final
agricultur
e product
Interfaces
I
n
t
e
r
f
a
c
e
s
Fertilizer
provider
Pesticides
provider
Agricultural
equipments
provider
Cloud Service
providers
Information
from KaoiskAgricultural updates/
information
Farmers
Internal / External
users
Work flow application services
Harvesting
Weeding
Irrigation
SeedingPloughing
Enterprise Architecture
16. Work flow model
Yield
Seed
Fertilizers
Pesticides
MIS input (From Kiosks
/ SMAC )
Sell
Pests Loss
Post-harvest Loss
Business Location System
MIS input from other farmers
Seeds
Pesticides
Fertilizers
Kiosks inputs
(MIS)
Farmer /
cultivation Warehouse
Other farmers
(MIS)
Wholesaler/
government
/ village
market
Retailers/
local
shops
Export
Collect trends (MIS)
Enterprise Architecture