Crop in solution for farms v2.2
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#Organic Companies like #Sresta & #Timbaktu-Collective are always working to ensure only the very best reaches their customers. They have adopted Cropin #smartfarm and are always connected with their farms 24X7 from anywhere! They have gained customers' trust by empowering them with #traceability: "Customer can take a walk through your farms by a simple scan of a QR/Bar code". Read for more: http://eepurl.com/btxZZz Try it at: smartfarm.cropin.in
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Livestock data acquisition essentially used in Smart Farming where a large amount of connected technologies produces a huge amount of data in order to maximize productions by reducing: human efforts, environment impact and wasting natural resources. It helps in improving livestock production, animals’ welfare, and farming processes, allowing to ease monitoring operations that can help farmers.
TWIGA Project, Trans African Hydro Meteorological Observatory (TAHMO)
The document discusses the TWIGA project which aims to provide climate and weather information services for sustainable development in Africa. The objectives are to improve forecasts through satellite mapping of water vapor and storms, and to produce accurate maps and data on soil moisture, energy fluxes and floods. The project will integrate satellite, unmanned aerial vehicles, and in-situ sensor data at various resolutions to provide downscaled climate data and decision support tools. This is intended to benefit sectors like agriculture, insurance, water and disaster management through improved climate information and services.
Agro IR 4.0-smart and next generation agro-farming-Fab labs to make anything
Agriculture 4.0 is a term for the next big trends facing the industry, including a greater focus on precision agriculture, the internet of things (IoT) and the use of big data to drive greater business efficiencies in the face of rising populations and climate change. Makerspaces or Fab labs around the world can contribute in big margin to make prototypes reducing cost and makerspaces will be actions towards IR 4.0 in Bangladesh
IoT and Big Data in Agri-Food Business
This is a keynote presentation presented at a conference on INNOVATIVE TECHNOLOGIES AND DATA APPLICATIONS IN THE AGRIFOOD SECTOR, 26 February 2019 at Boğaziçi Üniversitesi South Campus, Rectorate Conference Hall, Turkey. It describes multi-disciplinary, collaborative, agile approach for digital transformation of the agri-food sector based on the IoF2020 and SmartAgriHubs project. It describes several examples of IoT and Big Data applications from those projects,
The video and voice-over of this presentation can be found at https://youtu.be/wYJVqh6jvSE
Smarter Agriculture Handout - v3
This document outlines an "Insight as a Service" architecture for smarter agriculture using data collection, analytics, and decision support. It describes collecting data from various sources like sensors, weather, and social media and analyzing it using IBM technologies like Watson and cloud services. The goal is providing insights and recommendations to help farmers increase yields, optimize costs, and improve farm management.
Making Indian Agri-food Systems Smarter
This document discusses how digital technologies can make Indian agriculture smarter. It begins by outlining the challenges facing Indian agriculture, such as diminishing resources and the need to feed a growing population. It then discusses how "smart" agriculture, using digital technologies, can help address these challenges by reducing costs and drudgery while improving quality and sustainability. The document provides examples of digital technologies like sensors, robotics, and artificial intelligence and how they can be applied throughout the agricultural system from inputs to outputs. It argues universities have an important role to play in research, education, innovation and extension to contribute to the development of data-driven agricultural systems.
Smart farming
Farming techniques are becoming smarter with the use of new technologies. Smart farming uses tools like GPS, drones, sensors, and weather forecasting to increase yields, reduce costs and environmental impact, and minimize human errors. It provides benefits such as higher crop production through precision agriculture, lowered expenses via improved resource management, and better environmental stewardship. However, the effects on climate change are unclear as pesticide and fertilizer use may rise, and large-scale factory farming may still present social issues. Smart farming incorporates various digital technologies tailored to different agricultural operations and livestock monitoring.
Unleashing The Power Of Agriculture Sensors In Precision Farming.pdf
This article delves into the realm of Agriculture Sensors, exploring its applications, benefits, challenges, and the promising future it holds for sustainable agriculture.
Jeff Bradshaw, Founder, Adaptris
Jeff Bradshaw is the founder of Adaptris and Group CTO of Adaptris/F4F/DBT within Reed Business Information. He has spent his career integrating data wherever it resides and in-flight across a number of industries including Agriculture, Airlines, Telecommunications, Healthcare, Government and Finance.
Jeff has worked with and contributed to a number of international standards bodies and continues to work with large enterprises to help them extract value from their data silos and share data seamlessly with their trading partners to achieve business benefit. For the last few years Jeff has been focusing on Big Data and how to gather that across a wide range of sources to help gain insight into the agri-food supply chain.
Abstract Summary:
Precision agriculture – Predicting outcomes for farmers using machine learning to help feed the world:
Agricultural data is vast, often unstructured and includes many challenges when working with legacy farm systems on premise in rural areas. For instance, traditional farm equipment such as tractors, sprayers, and combines aren’t often from the same vendor, and it’s complex moving data between them. This is further complicated with the vast array of other systems used by our farmers. Furthermore, the number of sensors in agriculture is astonishing, whether it is sensors that measure the gait of the cow walking into the dairy parlor, or chickens that are pecking. All this data needs to turn into usable information on a global scale to improve the yields farmers get and provide greater visibility into what’s going on both in and out of the farm. In this session, a case study will be shared on how data was collected, normalized and analyzed leveraging the open source HPCC Systems platform from remote Farm Management Systems (used by farmers to manage their farms), and when merged with weather data, soil data and actual machinery data, the analyzed predictions is used to feed Agronomists and Crop Protection/Seed Manufacturers to get recommendations back. The goal is to deliver a precision agriculture solution, helping farmers increase their yield, which then helps feed the growing population of the world.
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Pitch competition 2020
The document describes a system called SITBI for smart agriculture and food security in Colombia. SITBI would provide a platform to access weather data for agricultural planning and monitoring climate change. It involves installing meteorological stations to collect and transmit field data to a cloud-based database and GIS system. This data would then be analyzed using predictive and prescriptive models to provide information to support agricultural management, production monitoring, risk analysis and making safe investment decisions for crop growth and financial planning. The goal is to provide farmers and agricultural companies with data-driven insights.
Precision Farming
precision mean â€the quality of being clear or exactâ€. Farmer tries hard to get the result but we need the smart way and result oriented. The history of India's development has been inexorably linked to that of its farmers, and the nation's growth with that of its agronomics. Agronomics provides highest contribution to nation income. Agronomics needed top most priority because the Government and the nation would both fail to succeed if agronomics could not be successful. Today we are living in 21st century where automation is playing significant role in human life. Automation allows us to control appliances automatic control. Today industries are using automation and control machine which is high in cost and not suitable for using in a field. So as to help both government and our farmer, we can use intelligent irrigation techniques with the use of IoT internet of things and by building network of farmer and agriculturist to share their ideas and experience, as a full fledged force solution to the need .this can be easily done by organizing and analysing the live and collected over time data ,allowing farmers to take pre emptive action for healthy harvest of their crops collecting live data using sensors which are placed across the land further sent to the cloud further under taking predictive analytics to enhance crops nutrition thus using predictive analysis on data to find better solution. The IoT connected devices stream live data on the land allowing data informed decisions on planning the resources and harvesting of farm. Kartikeya Bhatia | Devendra Duda ""Precision Farming"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22793.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/22793/precision-farming/kartikeya-bhatia
Agriculture
Drones can be used for various applications in agriculture like monitoring farms, operations, and protection. For monitoring, drones capture images and video that are transmitted to a ground station and then to a cloud-based processing center to produce prescriptions for tasks like fertilizing. Drones can monitor farms using intelligent cameras, multispectral sensors, thermal imaging, and laser scanners. They can also be used for operations like targeting fertilizer and pesticide application precisely. Drones help with protection by identifying wildlife that could damage crops. Some advantages of drones include lower costs compared to traditional methods, flexibility to work in different environments, and increased safety over manned aircraft operations.
Smart Farming
January 2024. Smart Farming, or Smart Agriculture, is a modern approach to farming that utilizes information and communication technologies (ICTs) to enhance productivity, optimize human labor, reduce cost, increase revenue, minimize the environmental impact, and enhance sustainability.
Smart farming technologies include sensors, software, connectivity, robotics, and data analytics.
The Internet of Things (IoT) is the driving force behind smart farming, integrating machines and sensors to make farming processes data-driven, automated, and constantly improving. Where Artificial Intelligence (AI) is used in smart farming to enhance harvest quality and accuracy in detecting crop disease and poor nutrition.
The IoT based smart farming cycle stages are observation, diagnostic, decision, and finally, action.
Smart farming applications include precision farming, vertical farming, robotic farming, and Agrivoltaics.
Smart farming stakeholders are suppliers, farmers, retailers, consumers, employees, communities, governments, NGOs, Telecom providers, and smart farming equipment manufacturers.
There are many advantages to using smart farming technologies, such as increased production and yield, waste minimization, accuracy and precision improvements, resource and energy conservation, revenue increase, cost reduction, sustainability enhancement, deficiency identification, and the competitive edge over farms not using smart technologies.
However, there are challenges (barriers) to smart farming adoption, such as poor connectivity and network coverage, difficulties for farmers to analyze large data volumes (big data) across multiple growing seasons, lack of knowledge in setting up complex IoT systems for farmers, tough farming conditions, as equipment must withstand extreme weather conditions, the high cost of cutting-edge equipment requiring costly updates, service, and maintenance.
There are environmental, social, and economic benefits to smart farming utilization, such as emission and pollution reduction, fertilizer and chemical use reduction, new job opportunities, and increased food security for local communities.
Policy wise, in 2019, the Food and Agriculture Organization (FAO) launched the Climate Smart Agriculture (CSA), a sustainable approach to transforming agricultural food systems, aiming to increase productivity, build resilience to climate change, and reduce emissions. CSA supports the Paris Agreement and the Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, technologies, applications, stakeholders, advantages, challenges; environmental, social, and economic benefits, United Nations (UN) policy, and global statistics of smart farming utilization. For more slideshows on environmental sustainability, please visit s2adesign.com
efarming
The world of agriculture is undergoing a digital revolution, and eFarming has emerged as a transformative approach to sustainable food production. eFarming involves the use of technology and data-driven techniques to revolutionize agricultural practices. It brings together the power of advanced sensors, automation, and analytics to optimize farming processes and achieve better outcomes. By leveraging innovations such as Internet of Things (IoT), data analytics, and automation, eFarming offers a promising pathway for farmers to enhance their operations and make informed decisions.
The advantages of eFarming are numerous. It can help farmers optimize efficiency, reduce resource consumption, and improve overall productivity in the agricultural sector. For instance, eFarming can help farmers monitor soil moisture, temperature, and nutrient levels in real-time, which can help them make informed decisions about irrigation, fertilization, and pest control. This can lead to significant savings in water and fertilizer usage, as well as reduced pesticide application. eFarming can also help farmers reduce labor costs by automating tasks such as planting, harvesting, and monitoring crop health. This can free up time for farmers to focus on other aspects of their operations, such as marketing and sales.
The implementation of eFarming relies on several key technologies. One of the most important is the Internet of Things (IoT), which involves the use of sensors and other devices to collect data from the environment. This data can then be analyzed to provide insights into soil health, crop growth, and other factors that affect agricultural productivity. Other key technologies include data analytics, which can help farmers make sense of the vast amounts of data generated by IoT devices, and automation, which can help farmers reduce labor costs and improve efficiency.
Despite its many advantages, eFarming also faces several challenges. One of the biggest is the cost of implementing new technologies. Many farmers operate on tight budgets, and the cost of purchasing and installing new equipment can be prohibitive. Another challenge is the lack of technical expertise among farmers. Many farmers are not familiar with the latest technologies and may not know how to use them effectively. Finally, eFarming also faces regulatory challenges, such as data privacy concerns and the need to comply with environmental regulations.
To address these challenges, several solutions have been proposed. One is to provide farmers with access to affordable financing to help them purchase new equipment. Another is to provide training and education to farmers to help them understand how to use new technologies effectively. Finally, policymakers can help by creating a supportive regulatory environment that encourages the adoption of eFarming technologies.
Several successful case studies demonstrate the potential of eFarming to revolutionize agriculture.
PRECISION AGRICULTURE
Precision agriculture is a farming system that uses information technology like GPS and GIS to increase farm production efficiency and profitability while minimizing environmental impacts. It involves tools like yield monitors, GPS, GIS software, and variable rate technology to collect and analyze field data to precisely vary inputs based on site-specific needs. Implementing precision agriculture can optimize production efficiency, quality, minimize risks and environmental impacts, and provide farmers with information to improve decision making.
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Crop in solution for farms v2.2
- 1. At the intersection of TRACEABILITY, SUSTAINABILITY, MOBILITY and CLOUD COMPUTING Digitizing Farms An Introduction
- 3. Consumer CropIn Value Proposition Processor Retailer & Exporter Farm Digitization Personalized Package of practices Advisory & Weather Alert Marketability Ensure Supply Farm Visibility Ensure Quality Cut farm- gate losses Grower retention Lower cost of production Ensure sustainable use of input Compliant & traceable Product Grower Saferfood Fresh Residue free Scalable - Sustainable - Profitable Ecosystem Higher Yield CropIn in the value chain
- 4. Agri-Business Manages farms with help of their Field Staff/Agronomist with help of Cropin Platform Field Staff/Agronomist Manages Farmers for companies 500-100000 Farmers each Cropin For Agri-Businesses
- 5. Agronomists, Field officers and farmers enabled with mobile app. does guided farming and shares data in real time Gather & mine data in real time & share Cloud computing & Big Data The Product
- 6. Predictive Risk Management Geo-tagged Info Real time & detailed report on Harvest Forecast - Input –Activity – Weather- Alerts etc. from the farms… A Visual & Analytical approach… PlotwiseHeatmapGeo-tag&AreaAlerts DashboardReports
- 9. I& B Seeds Value Ingredients Amar Agro C U S T O M E R
- 10. Benefits of Cropin Smart farming Digitization/ Knowledge retention & Learning YoY Farmer Retention in Programs Cost of Production Savings Increase in productivity per farm Reduction in manual Effort per farm
- 11. And many more….
- 13. CropIn aspires to digitize AgricultureDigitize-Share-Collaborate
- 14. Happy to Help!! contactus@cropin.in +91 9986079552 | +91 9739671931 www.cropin.co.in