3）The remote controller is constantly beeping?


4）The remote control broadcast volume is too low to hear clearly?


5）What other functions does the Type-C port have besides charging?




Any other questions about agricultural drone，leave your comments in the discussion.

Hey guys,have you ever seen or used an agricultural drone for spraying crops？

Lately i`ve been using an spraying drone to pesticide the rice,and i`ve got to say this tool really helped a lot.

Before I spray all rice field need 3-5 people , spent a lot of time to spraying the pesticides.

But with this smart agricultural drone, I can complete the 2hect fields spraying easily ,just within 1hour . Just mapping the fields and set the flight routes on remote, set the required dosage and speed, and it will work automatically. It returns automatically when out of medicine or power, just refill and replace quickly. I love it, especially in summer, as I can control remotely from the shade.

From the results, drone spraying saves 45% pesticide water than manual spraying, and the effect is also good. The most important thing is that it doesn't require as many people, making farming more easy and also can fertilize ,very useful.
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When shopping for services, small businesses and startups often focus first on cost, but that’s not the only important consideration when looking for a software-as-a-service (SaaS) vendor. The right technology tools can streamline processes and help SMBs better serve their customers—crucial factors in determining whether a business survives and thrives or goes down in defeat.

It’s vital to carefully vet SaaS vendors to not only get the maximum ROI on a critical investment but also to establish a long-term partnership that can support your growing business in the years ahead. Below, 20 members of Forbes Technology Council discuss essential factors an SMB should carefully consider when choosing a SaaS provider. Paying attention to these details ensures the technology tool you choose is the right fit for your unique organization.

1. Platform Flexibility
   • Since every small business aims to reach the next level, I recommend asking potential vendors, “How flexible is your SaaS platform in terms of technology and customer support—can it adapt to our business as it grows?” Focus on scalability to handle growing operational needs, integration with existing tools, customization for changing requirements, and responsive support for quick issue resolution.
2. Customer Support Systems
   • While costs cannot be overlooked, it’s essential to understand the kind of customer support one can expect from the vendor in question. Many SaaS vendors sit in the critical paths of their customers’ products, so it is crucial to know whether the vendor provides robust service-level agreements and a direct line to their technical staff when things go wrong.
3. Long-Term Contracts
   • One essential question small businesses and startups should ask a potential SaaS vendor is, “What incentives and support do you offer for long-term contracts?” While SaaS can initially ease cash flow, over time, it could become more costly than on-premises solutions. Comprehensive environments and additional modules from one vendor can be more cost-effective.
4. Vendor’s Security Architecture and Longevity
   • There are two essential issues here. The first is all about security, and it’s especially important for small companies. You need to understand whether a SaaS product is introducing vulnerabilities by thoroughly assessing the vendor’s security architecture and knowledge. The second issue is the vendor’s longevity. Very low pricing may be unsustainable; if they go out of business, you’re left vulnerable and without support.
5. Vendor’s Company Culture
   • An essential question is whether the vendor is a fit for your company’s culture and whether they will be an extension of your team. Far too often, we focus on technical aspects when something far more simple—such as asking yourself, “Would I hire these people to work with on a daily basis?”—can make a massive difference.
6. Whether (And How) The Tool Saves You Time
   • While cost is a key driver for a small business or startup that’s considering value, the larger consideration is, “How does this enable or empower my team or company to do more?” In a smaller company or startup, it’s the drain on the employees’, founders’, and/or management team’s time that is a growth constraint. By focusing on freeing up time through tools where possible, you will further drive your growth.
7. How The Vendor Stacks Up To Competitors
   • Data integrity, service reliability, customer support, receptiveness to feedback, and continuous improvement are all important. When meeting with a prospective SaaS provider, ask, “Your SaaS competitor may come to me in a year with a better price proposition than yours. What can you say to me today that will persuade me to say ‘no’ to them?”
8. Self-Service Capabilities and Support
   • For SaaS AI solutions, have questions about self-service capabilities. Can you fix, update, and maintain the solution with your own team? What kind of data and AI expertise would you need? Will the vendor provide education for your team?

Discussion Questions:

1. What has been your experience with SaaS vendors in terms of platform flexibility and scalability?
2. How important is customer support to you when choosing a SaaS provider, and what level of support do you expect?
3. How do you assess the security architecture and longevity of a potential SaaS vendor?
4. How important is it for a SaaS vendor to align with your company’s culture?

Read the article: https://www.forbes.com/sites/forbes...iders-essential-factors-for-smbs-to-consider/

AI technology, like any programmable system, has inherent limitations. It cannot comprehend the meaning of the information it receives and adapt to it. These limitations underscore the need for a new approach to artificial systems.
In addition, AI systems are subject to the danger of an information explosion, cannot be fully autonomous, require training on huge databases, and are created to find solutions to a specific range of problems.

I managed to find an approach to creating a new class of artificial systems that, like living organisms, will not be subject to the problems listed above and will be able to help authorized people solve problems inaccessible to programmable systems. Such issues are unfamiliar to living organisms precisely because they are subjective.

So, we, too, need to move from creating programmable systems to creating subjective ones.

Despite the underrepresentation of women in tech, particularly in CIO roles, women have demonstrated exceptional collaborative skills that can significantly enhance team-centric cultures. Here are five ways women can foster better collaboration within organizations:

1. Driving Equality in Conversations:
   • Research indicates that groups with more women exhibit greater equality in conversational turn-taking. This inclusivity ensures that all members can contribute their skills and knowledge, leading to more effective teamwork.
2. Encouraging Buy-In with the Organization’s Mission:
   • Female CIOs excel in balancing innovative solutions with business outcomes, especially in the AI era. Their strong influencing and communication skills help align new technologies with organizational values, inspiring greater buy-in from team members.
3. Fostering Expectations of Fair Treatment:
   • The presence of female leaders often leads employees to expect fairer treatment, enhancing trust within the organization. This increased trust can have immediate positive impacts on collaboration and overall organizational health.
4. Building Trust Biologically:
   • Women naturally release more oxytocin, a brain chemical that fosters trust and reduces anxiety. This biological advantage helps female leaders create more cooperative and collaborative environments, even in competitive or stressful situations.
5. Adopting a Community-Oriented Approach:
   • Women tend to be more community-focused, which can lead to a more cooperative decision-making process. This approach uncovers new insights and ideas, driving better solutions and fostering a collaborative culture.

Discussion Questions:

1. How can organizations leverage the collaborative strengths of female leaders to enhance team dynamics?
2. What strategies can be implemented to ensure that the contributions of all team members are valued equally?
3. How can female CIOs balance the demands of innovation and cybersecurity while fostering a collaborative environment?
4. In what ways can organizations build trust among employees to improve collaboration and productivity?
5. How can the community-oriented approach of female leaders be harnessed to drive better decision-making and problem-solving?

By recognizing and promoting the unique strengths that women bring to leadership roles, particularly in tech, organizations can create more inclusive, collaborative, and innovative environments.

Read the article: https://www.cio.com/article/3477870/5-reasons-women-make-top-team-first-collaborators-in-tech.html

Artificial intelligence (AI) is deeply integrated into our daily lives, enhancing efficiency and productivity in various sectors. However, this technological advancement brings a paradox: while AI offers numerous conveniences, there is a growing desire for genuine human connection.

AI's ability to streamline processes and improve accuracy is undeniable. Yet, as AI systems become more advanced, concerns arise about the diminishing human element in business interactions. Humans are inherently social beings, and authentic interactions are crucial for building trust, loyalty, and a sense of belonging. In an AI-dominated world, these essential components can sometimes feel compromised.

Strategies for Balancing AI and Authenticity:

1. Hybrid Approach: Combine AI's efficiency with human empathy. Use AI for routine tasks and data analysis, but ensure that real people handle complex or sensitive interactions, especially those involving customers.
2. Personalized Interactions: Leverage AI to gather insights about customer preferences and tailor interactions accordingly. This approach makes customers feel understood and valued, fostering deeper connections.
3. AI-Generated Content: While AI-generated content can be useful, it's essential to have proper review systems in place. Human engagement is crucial for authenticity, as people can often distinguish between AI-created and human-created content.
4. Transparency: Be open about AI usage. Inform customers when they are interacting with a bot and provide easy access to human support. Establish clear AI policies for employees regarding when and how AI should be used.

As AI technology evolves, it has the potential to enhance authentic connections by better understanding and emulating human emotions. However, the current trend shows a strong desire for genuine human interaction in all aspects of life.

Ultimately, a brand or company's success hinges on its ability to connect with its target audience. While AI offers significant benefits, the key is to use it in moderation. Building trust and meaningful relationships with customers is best achieved through personal engagement. By prioritizing the human element in AI strategies, businesses can foster stronger, more authentic connections with their audience.

Discussion Question:

How can businesses effectively balance the efficiency of AI with the need for authentic human interactions?

Read the article: https://www.forbes.com/sites/forbes...iness-and-still-cultivate-real-relationships/

Many organizations are unprepared for the escalating threat of cybersecurity attacks and breaches, particularly in the context of Software as a Service (SaaS) applications. Despite the widespread adoption of SaaS for core business functions, there is a significant lack of awareness regarding the associated risks.

Recent research highlights that 96.7% of organizations experienced a security incident with at least one SaaS application in the past year. Additionally, 8,500 applications now incorporate generative AI (GenAI) capabilities, many of which can train on user data, posing further security concerns.

The slow adoption of SaaS security measures and impending regulatory changes could leave organizations vulnerable. Regulations such as NY-DFS in the U.S. and DORA in the EU mandate rapid reporting of security events in SaaS supply chains, underscoring the need for speed in cybersecurity responses.

Key Risks in SaaS Adoption:

1. SaaS Invisibility: Unauthorized use of SaaS applications is widespread, with nearly half of these apps used by a single employee without oversight. Employees often accept terms and conditions without understanding the risks, potentially exposing sensitive company data to numerous SaaS providers.
2. SaaS Security Responsibility: While securing SaaS configurations is crucial, the responsibility often falls on both the SaaS provider and the employees. Security teams must quickly identify and address incidents, ensuring compliance with regulations and maintaining security standards.

The Need for Speed in SaaS Security:

Manual processes for monitoring and protecting SaaS are inadequate. To meet the 72-hour notification requirement, security measures must be efficient and not overly dependent on human intervention. Best practices for SaaS security should include:

• Speed in Supply Chain Change Detection: Regular checks are essential but not enough. Rapid changes in the SaaS supply chain necessitate immediate risk management processes.
• Speed in Risk Assessment: With over 300,000 SaaS applications available, a streamlined security approach is needed to facilitate quick decision-making within business units.

In conclusion, organizations must enhance their SaaS security practices to address these challenges effectively and comply with regulatory requirements. How are you or your organization enhancing the SaaS security practices?

Read the article: https://www.forbes.com/sites/forbes...-security-speed-to-keep-pace-with-saas-risks/