You can cultivate and harvest apples on your apple farm with the help of this comprehensive guide to apple farming. Learn about the varieties, plantations, fertilizers, and irrigation needs for apples.
Apple growing has long been a well-established and lucrative industry. An acre of apple orchard can provide, on average, 20,000–30,000 apples for harvesting. Thus, there is a great probability that apple growing will yield a respectable profit.
Yet unlike other crops, apple cultivation is not really simple. It demands exact knowledge, patience, and money, much like Kiwi farming. It takes eight years for a newly planted apple orchard to produce a commercial output. On the other hand, fruiting lasts for 30 years after it begins.
Following, we are showing trips and techniques to apply farming in India. Have a look.
Tips & Techniques to Do Apple Farming in India
Careful planning, appropriate cultivars, effective orchard management, and adherence to particular procedures are necessary for apple growing in India. Here are some pointers and methods for productive apple cultivation in India:
- Selecting Suitable Varieties
You have to select appropriate varieties for high returns. For that you have to choose perfect climatic conditions, chilling requirements as we all know that apples require a chill environment, Altitude and Elevation for better quality. Other than this, you should require Disease Resistance, Soil Adaptability, Storage and Shelf Life and many more.
- Climate and Site Selection
Next step in this apple farming is climate and site selection. In this, you have to take the same climatic conditions into consideration like Chilling Hours, Temperature Range, Frost Risk, Rainfall and Humidity. And in site selection you have to consider factors like Elevation, Aspect and Slope, Wind Exposure and Soil Type and pH. Along with this, you should select a site on the basis of Water Availability, Proximity to Water Bodies, Microclimate Considerations, Accessibility, Historical Data and Local Expertise.
- Soil Preparation
The third step in this process is soil preparation. As proper soil preparation is important for healthy growth. So, for that you have to do Soil Testing, Choose the Right Site, Remove Weeds and Debris, Deep Plowing and Subsoiling. Additionally, you have to add Organic Matter, to adjust soil ph and nutrient level in the soil. You can also incorporate soil amendments and raised beds or mounds. For apple farming soil preparation you can select a Mahindra mini tractor for good results.
- Planting
Next up is Planting in apple farming. As it is the most technical process and must be done in a proper and synchronized manner. For that you have to do a perfect selection of plant material, proper timing, site preparation, planting holes, spacing, planting depths and root system handling. You can also consider backfilling and staking.
- Training and Pruning
This step plays a crucial role in apple farming. Training and pruning is crucial to plant the tree, for optimizing food production and managing its growth. You have to follow techniques like central leader system, modified central leader, espalier system and others. On the other hand, for pruning you have to follow winter pruning, thinning, heading back and limb bending.
- Irrigation
Low soil moisture can severely affect apple trees. During the growing season, water stress decreases fruit size and quantity while increasing June drop. Apple growth is mostly dependent on the annual distribution of rainfall; in the event of dry spells during these crucial times, additional irrigation should be supplied.
Water stress causes excessive fruit drop, poor fruit set, low yield, and low-quality fruit. The months of April through August are the most crucial for water requirements, and the fruit set marks the peak of water needs. In December and January, the orchards are typically irrigated right away following manuring. In the summer months, crops are irrigated every seven to ten days.
- Pests and Disease Management
Insecticides in particular have the potential to harm pollinators. For this reason, the majority of pesticide labels will caution against using them when crops are blooming. If you must apply a pesticide during bloom, make sure to follow the label’s instructions. When bee activity is at its lowest, apply the pesticide so that it dries before bees come into touch with the affected flowers.
Pollinators that visit flowers throughout the day will be least affected by a treatment done at nightfall or at night, for instance. Once the crop has completed flowering, be mindful that pesticide drift onto flowering plants that are not crops in nearby habitat may affect pollinators on those flowers.
- Thinning and Fruit Manage
In addition to maximizing fruit quality and size, crop thinning will provide sufficient bud initiation for the subsequent growing season. Fruit size is based on the total number of cells in each fruit. After full bloom, apple cell division stops approximately 30 days later.
These are all the tips and tricks regarding how to grow apples in India and how to earn money from apple farming. For apple farming in India you can use Mahindra Tractor for better productivity. Hope you like this blog. For more information, stay connected.
How Will AI Shape The Future of News Media?
As new practices and tools rapidly proliferate in the commercial and technical worlds, often with little consideration of their consequences for the social world, the news media industry is also being shaken up by the practicalities of emerging artificial intelligence (AI) technologies. As technology evolves at a faster clip than ever, AI is more and more becoming a mainstay of news production, distribution and consumption. AI is changing the way news organizations are running, as well as how audiences consume content, from automated creative processes to personalized news delivery.
AI in News Production
AI has a wide impact in the news industry but its biggest area of application is content creation. Automated journalism, or robot journalism, poised media houses to create news coverage on an industrial scale and with stunning efficiency. Algorithms of NLP (Natural Language Processing) and machine learning can scan the databases and produce reports instantly (in seconds). For example, AI systems are often used to generate summaries for sports, finance, and election results, among other things.
And AI-driven tools assist reporters with fact-checking, transcription and translation. Within seconds, fact-checking algorithms crawl through facts and help reduce misinformation exposure. Also, Otter. ai, a service that uses AI to transcribe. ai and Rev make it automated to convert audio interviews into written text, which can save hours of manual labor for journalists.
Personalized News Delivery
In a digital era, personalised content is proven to be the stickiest content. It is through the analysis of user behavior, interest, and reading history that AI algorithms study details to deliver personalized content recommendations. AI is used by media outlets such as Google News and Flipboard to create personalized streams of news, thus verifying people read what they want.
Previously such tailored news delivery helped deliver better user experience and contribute towards increasing user engagement but in return raised concerns of the filter bubble effect. Plus: Artificial intelligence by only showing a user things they like might limit their view to only things they enjoy, limiting how they see the world. To maintain their journalistic integrity, news organizations must balance personalization with variety.
Combating Fake News
In the wake of the digital media revolution, came the fake news as a new challenge, eroding public confidence in media. In tackling this issue, AI has played its role by spotting misinformation and stopping the spread of it. Natural Language Processing: The choice of words that the author uses can be analyzed by using natural language processing(NLP) to find out the specific mind frame of the author. For example, AI can analyze the metadata of a picture or video to determine its authenticity.
Facebook and Twitter are using A.I. to spot and remove misleading posts. But obstacles remain to accurately filter out satire, opinion and malicious misinformation. Industry-fueled initiatives between tech companies, media agencies, and legislators are essential to overcoming these problems.
Enhancing User Engagement
AI is rapidly transforming the way audiences consume news as well. AI-Driven Chatbots and Virtual AssistantsIn the age of AI, users need not wait until news spreads; they can relish real-time news updates via AI-powered chatbots and virtual assistants available on websites. They give news more access and interaction in our present, the age of readers accustomed to talking to interfaces.
Additionally, news organizations use AI-powered analytics to understand the audience’s actions and preferences. In dealing directly with AI analytics that drive editorial decisions, the aesthetics can be fine-tuned so publishers crop their images in such a way that they have a better chance of resonating with their target audience. Read more examples of the heatmaps, what headlines, images or topics get the most engagement through heatmaps and percentages of CTR analysis.
Ethical Issues & Considerations
Artificial intelligence into the news media industry offers several advantages, but there are also ethical issues and challenges. One of the main concerns involves algorithmic bias. Since AI models are trained on historical data, they tend without knowing to repeat the biases that already show in those historical datasets. It may lead to biased coverage or biased distribution of content.
The other big problem was transparency. As a hedge against the danger of erosion of trust, news organizations should disclose how much they are using AI in the composition and curation of content. Readers have the right to know whether what they’re reading is written by the hand of a human being or a machine’s algorithm.”
The rise of automated journalism has prompted a debate on the role of human journalists going forward as well. AI can repeat things, and it can calculate and perform actions by generating number and statistics, it cannot be creative, nor clever, nor investigative, this is the human way of life, and this is the only indicator that catches human attention is when there is a person who thinks and whose best effort is to make the people he or she loves uncover the the facts of the matter. The trick is to make AI a machine that assists humans rather than evening the competition.
What’s Next for AI in News Media
Though AI is integrated into some news media, this is still in its infancy, and its potential has yet to be fully realized. This is just a glimpse into the potential of AI; in the coming decades journalism will cement itself even more with the intelligent integration of AI. For instance:
Hyper-Local News AIHyper-local news AI can enable hyper-local news coverage by analysing data from localized geographic areas, such as social media posts, traffic, and events. It enables the media to target niche markets with highly relevant content.
AI for Content Creation — Part One: Types of Generative Content Generative content varies with the advancements in technology, but it generally encompasses the tools and channels available to marketers in order to reach their audience in a more engaging way.
News Translation through Language AI: News organizations are already utilizing AI-powered language translator tools like google translator that keeps improving with time for covering its news products for international audiences. This allows tools for real-time translation to break the boundaries of languages and culture.
Song tts, Speech to text, For example sentiment analysis: the ability to look at news articles and social media discussions based on AI and understand how the general public feels about a certain act. It also helps direct editorial strategies, allows journalists to get a sense of audience viewpoints, and so on.
Improved Accessibility: AI also has the potential to improve accessibility of news for disabled individuals. For example, text-to-speech allows articles to be presented in audio to visually impaired readers, and AI-generated captions help hearing-impaired readers.