Origins in Agriculture (SAP for Agriculture Industry)
From contracting to supply chain management settlement, SAP for Agriculture Industry simplifies and optimizes complicated agricultural origination processes.
- Allow farmers to have more flexibility in the agribusiness origination process. Our agriculture origination and supply chain management systems can help you do the following:
- During the deal-making process, keep an eye on dynamic pricing.
- Capture commodities contracts with partial or no pricing and quality, tolerance, and option terms.
- Take into account the logistics execution and money settlement terms.
- Assign loads to different contracts.
- Manage complicated settlements that include premiums, discounts, multiple payees, and expense reimbursement.
Agriculture and Farming Production (SAP for Agriculture Industry)
Efficiencies and sustainability in farming and agricultural output should be maximised.
Optimize the management of farming operations and adopt data-driven farming procedures to improve your top, bottom, and green lines in agricultural production. You can efficiently manage big farming operations, develop next-generation and data-driven farming processes, and manage agricultural data across your organisation using SAP solutions. SAP for Agriculture Industry Improve the efficiency of your maintenance procedures, reduce downtime, maximise time and resources, and lower agricultural production maintenance expenses. You can also get faster access to information about farming processes and operations.
The SAP Farm Management by Vistex module is a complete, integrated business solution created exclusively for agro-industrial businesses – and to cover the entire farm life cycle. SAP Farm Management by Vistex covers the crop life cycle, compliance, and harvest operations, as well as providing crucial data and analytics, with a toolset that enables efficient day-to-day management and satisfies the needs of top managers. There is no other agricultural software that connects field and management closer together, improves operational efficiency, or delivers as much business intelligence.
SAP Farm Management by Vistex, which is embedded in SAP ERP, centralises data execution from a variety of agriculture operations and delivers controlling, quality, planning, and maintenance information automatically. Real-time synced data eliminates the ongoing difficulty of costly and inconsistent data entry, allowing management to create common goals and establish a shared vision through the interpretation of real-time synced data, all while enhancing end-user productivity.
Smart farming is starting to take hold: (SAP for Agriculture Industry)
Agricultural methods have evolved over the centuries. These advancements prompted modifications in farming practises such as:
Adapting crops to our changing environment through selective breeding
Irrigation and fertilizing systems that are precise and efficient
Advances in technical progress have made it possible to use tractors, robots, drones, sensors, and computer software to help farmers digitise data and automate their operations.
Smart farming is the term we use to describe the use of information and communication technology in agriculture today.
Many innovative farming solutions have shifted their focus to the global market in the previous 40 years, attempting to address regional and worldwide concerns such as operational optimization, data management, and predictive analytics. As a result of this advancement, growers like you can more precisely answer these four crop production questions: What to plant?
Where should I plant?
When should you plant?
What is the best way to make it?
When a smart agricultural solution is structured around four critical pillars, you can more efficiently address these interconnected issues.
1. From field to fork digitization (SAP for Agriculture Industry)
For your agriculture, paper-based data management is no longer a viable option. Using a smart solution to manage field activities by fully using software solutions helps you to retain, access, process, and exchange data while preventing loss and inaccuracies. GIS, mobile, and web-based technologies with user-friendly interfaces are growing utilisation by making it accessible to all personnel, from management to agronomists. Field technicians do not need extensive technical skills to operate the software.
The term “big data” becomes important when you manage larger volumes and velocity of data. To construct machine learning models, you need the capacity to store, aggregate, and compute relevant data now more than ever. This will allow for yield forecasts and predictive analytics, which will inform you before a problem arises.
Traceability is another aspect of digitization, which extends from agricultural production to consumer consumption. Barcode/QR code technologies, in combination with batch management solutions and ERP platforms, are excellent options for storing data from the field to the fork. We’re also seeing a rise in blockchain technology, with start-ups focusing on developing solutions for the food business that allow all stakeholders (including consumers) to have complete transparency over all supply chain phases by just scanning package QR codes.
2. Precision farming allows us a clear perspective of the field.
Farmers were able to render fields into geographic perspectives using multispectral data obtained by satellites using the first source of precision farming, the geographic information system (GIS). You can assess soil productivity, fertiliser residue, water management, crop health, and vegetation density using this method. It allows for more granular management of field operations as well as analytics for better forecasting. This process is aided and strengthened by the following technologies:
Telematics and GPS tracking:
Gain real-time positioning of farming equipment as well as insight into more efficient operation utilisation by applying the proper dosages of supplies to the right spot in the field.
Drones:
Drones are being used for farming by new UAV makers. Drones enable precise field operations such as precision spraying, GIS map drawing, sowing, and disease control to be automated.
Sensors and weather stations both aid in measuring soil, crop, and water parameters, allowing you to properly monitor their reaction to climate change, illnesses, and nutrient deficiency.
IoT and AI:
By facilitating connectivity between devices, equipment, and software, the Internet of Things and artificial intelligence are offering a revolutionary approach of managing the field. This enables a fully automatic, precise, and timely response.
Disease classification:
Using visual identification and classification algorithms, crop diseases can be diagnosed more precisely and at an earlier stage.
3. Field preservation: long-term viability
Natural resources must be considered while discussing a smart farming approach. It is evident that we must produce in a more sustainable manner in order to maintain the long-term viability of our agricultural areas. Chemicals used in crop production, such as fertilisers and phytosanitary treatments, are subject to stringent regulations in the global agriculture industry. Postharvest intervals and maximum dosage used are still very variable across countries and areas. A smart farming system should arrange dose to ensure compliance and close follow-up of chemical application.information by crop/region, and the ability to send out alarms in the event of an overabundance.
Other sustainable techniques that smart agriculture software can help with include:
Crop rotation is important for maintaining healthy plantations and preventing soil nutrient depletion.
For a more effective agricultural approach, combine livestock and crops.
Crop breeding that results in more resistant cultivars
Water usage optimization
The product’s traceability
4. Integrated field operations for growing crops
Farm management software, GIS software, IoT devices, artificial intelligence, and machine learning principles will all help you manage your farming activities more effectively. However, you will only achieve optimal efficiency when these technologies are linked together and are able to interact in real time.
By bringing business processes together, extending the usability of ERP software into farm management plays a key role in supply chain management integration. Finance, sales, purchasing, and production, for example, can all communicate with one another within the platform. The concept is that all planning related to seed and supply purchases, as well as resource allocation, is optimised to fit industrial processing capacity and sales forecasting.
When you consider the complexity of the food production environment, including the latest technologies to keep ahead of the competition isn’t necessarily smart farming. You must also include a well-organized IT infrastructure based on an effective cooperation model, providing a consistent flow of data and avoiding the use of duplicate data.
Agriculture will definitely enter a new era as a result of the exponential rise of technology, where efficiency, sustainability, and integration will be the driving forces behind a successful farm management solution.
Features
Efficient Field Management: Determine the productive area, sugar cane variety, crop cycle (ratoon, stubble, full cycle), and crop season through simulations that incorporate the field, tasks, and expected harvest and planting dates. Organize field task plans based on master records, scheduling, and unexpected events. Control agrochemical application for recommended dosage, incompatibility, and restrictions per region by setting up parameters for hydric balance calculation per field.
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