THE EFFICIENCY OF ARTIFICIAL INTELLIGENCE IN AGRICULTURAL DEVELOPMENT

ABSTRACT

This article explores how emerging technologies, particularly artificial intelligence (AI), are transforming modern farming practices. AI offers vast potential for enhancing efficiency through applications such as precision farming, automated crop management, pest detection, irrigation optimization, and autonomous machinery. The article concludes by emphasizing the importance of education, training, and collaboration between agricultural technology companies, farmers, and policymakers to foster the successful integration of AI in farming, ensuring that the sector remains resilient and sustainable in the face of growing global challenges.

АННОТАЦИЯ

Данная статья исследует, как новые технологии, в частности искусственный интеллект (ИИ), трансформируют современные сельскохозяйственные практики. ИИ имеет огромный потенциал для повышения эффективности через такие приложения, как точное земледелие, автоматизированное управление урожаем, обнаружение вредителей, оптимизация орошения и автономная техника. Статья завершается акцентом на важности образования, обучения и сотрудничества между компаниями агротехнологий, фермерами и государственными органами для успешной интеграции ИИ в сельское хозяйство, что обеспечит устойчивость и долговечность сектора в условиях растущих глобальных вызовов.

Keywords: artificial intelligence (ai), agricultural technology (agtech), smart farming, iot (internet of things), automation, farm management software, climate change, labor shortages, agricultural robotics, drone technology, smart irrigation systems.

Ключевые слова: искусственный интеллект (ии), сельскохозяйственные технологии, умное сельское хозяйство, интернет вещей (iot), автоматизация, программное обеспечение для управления фермой, изменение климата, нехватка рабочей силы, сельскохозяйственные роботы, технологии дронов, системы умного орошения.

INTRODUCTION

The agriculture industry is under tremendous pressure to boost crop output and optimize yields due to the world's population expansion, which is expected to exceed 10 billion people by 2050. Two possible strategies have surfaced to address impending food shortages: embracing creative methods and utilizing technology improvements to increase productivity on existing farmland, or extending land use and implementing large-scale farming. The contemporary agricultural landscape is changing and taking many creative turns as a result of numerous challenges to reaching targeted farming production, including shrinking soil fertility, labor shortages, climate change, environmental problems, and limited land holdings. Certainly, farming has advanced significantly since the days of hand plows and horse-drawn equipment. New technologies are introduced every season with the goal of increasing productivity and maximizing the crop. However, the potential benefits of artificial intelligence in agriculture for farming practices are frequently overlooked by both individual farmers and multinational agribusinesses.

METHODS

Until recently, it might have sounded odd to combine the terms artificial intelligence and agriculture. After all, whereas even the most basic AI just appeared a few decades ago, agriculture has been the foundation of human society for millennia, serving as a source of food and fostering economic growth. However, new concepts are being introduced in many sectors of the economy, including agriculture.

Farmers can determine whether regions require pesticide treatment, fertilization, or irrigation by using real-time crop insights from AI applications in agriculture. In addition to increasing food output, innovative agricultural techniques like vertical agriculture can use fewer resources. leading to significant cost savings, improved harvest quality, increased earnings, and a decrease in the usage of pesticides. Labor shortages have long existed since agricultural work is difficult. Fortunately, automation offers an alternative to hiring additional staff.

RESULTS

Autonomous crop management is made possible by AI systems. Algorithms can determine how much water to provide crops in real time when paired with IoT (Internet of Things) sensors that track soil moisture levels and meteorological conditions. Water conservation and sustainable agricultural methods are the goals of an autonomous crop irrigation system. By using real-time data to automatically change temperature, humidity, and light levels, artificial intelligence (AI) in smart greenhouses maximizes plant development. AI is essential for identifying irrigation system leaks. Algorithms can find trends and irregularities in data that point to possible leaks.

Drones with AI capabilities combine the finest features of each strategy without sacrificing any of its disadvantages. The amount of insecticide that should be sprayed on each area is determined by drones using computer vision. Even while this technology is still in its infancy, it is getting increasingly accurate.

IoT sensors can track, measure, and record training data on a variety of variables in real time when combined with other auxiliary technologies (AI drones, GIS, and other tools). Farmers are able to rapidly receive precise information by integrating these devices with AI and farming. AI, IoT, and autonomous tractors work together to address the widespread issue of labor shortages. Agricultural robots are already being employed for manual jobs like gathering crops, demonstrating the importance of robotics.

DISCUSSION

Many individuals believe AI is solely relevant to digital chores and has little bearing on actual farming work. Usually, this notion stems from a lack of knowledge of AI techniques. The adoption of AI in the agricultural sector is sluggish since most individuals, particularly those in non-technical fields, don't completely comprehend how AI in agricultural biotechnology operates. Many farmers are more accustomed to using traditional methods, despite the fact that agriculture has witnessed numerous advancements during its lengthy history. It's unlikely that most farmers have experience working on AI-related projects. Additionally, AgTech companies frequently fall short in their explanations of the advantages of new technology and how to apply them.

There is no denying that the initial investment in AI solutions can be quite costly, even though they may prove to be cost-effective in the medium to long run. Adopting AI may not be feasible for the time being because to the financial difficulties faced by many farms and agribusinesses, particularly those in developing nations and small-scale farming.

CONCLUSION

Over the upcoming years, AI will undoubtedly become more and more important to agriculture and food sustainability. From early tools to irrigation to tractors to artificial intelligence, technology has always been at the forefront of agriculture. Every advancement has improved productivity while lessening farming's difficulties.  Even while MLOps services, AI, and machine learning have the potential to completely change farming, they require other technologies to function together. Farmers must first establish a technological infrastructure in order to fully profit from AI. Maximizing the advantages of AI requires an understanding of how it operates and the most effective way to incorporate technical expertise into everyday procedures. For this reason, working with a skilled software development team is a great place to start. AgTech solution providers have a significant role to play. AI in agriculture will undoubtedly have a bright future if this can be accomplished. Modern technological solutions are required since traditional farming practices are becoming obsolete. Automation has always had a significant impact on sectors around the world. Artificial intelligence is expected to have a significant impact on agriculture, and digital technology is already significantly changing the sector.

References:

1. Xalima A. EFFICIENCY OF APPLYING INNOVATIVE TECHNOLOGIES TO THE PLANT DEVELOPMENT //Universum: технические науки. – 2023. – №. 7-4 (112). – С. 33-35.
2. Yu, Abaskhanova Kh. "Analysis of information and communication technologies in green environment monitoring." International conference on information science and communications technologies applications, trends and opportunies: ICISCT. 2022.
3. Yu, Abaskhanova KH. "Features of introduction of innovative technologies in agriculture of Uzbekistan." International scientific journal “Universum: Technical science (2021).
4. Yu, Abaskhanova Kh. "Advantages of using digital technologies in agriculture." Agro science. Agrarian-economic, scientific-practical magazine. Tashkent-2022.3-appendix (81)-no.-pages104-105.
5. Abasxanova, X. Yu. "Modeling digital devices with the help of vhdl programming language. Current problems of modern science." International conference. Chicago USA. 2022.
6. Abasxanova Xalima Efficiency of applying innovative technologies to the plant development // Universum: технические науки. 2023. №7-4 (112). URL: https://cyberleninka.ru/article/n/efficiency-of-applying-innovative-technologies-to-the-plant-development.