Positive Impact Of Agriculture On The Environment – Artificial intelligence has offered countless tools for industries around the world to use, including agriculture. In this scenario, there are important questions that farm managers must face:

Which AI tools are the best to use? How do I use them? Is AI a worthwhile investment? Should I take the plunge now or wait for a better time after seeing evidence of successful AI models? Is grass really greener in the world of AI?

Positive Impact Of Agriculture On The Environment

According to Markets and Markets Report (2019), the agricultural AI market is currently valued at approximately $519 million and is predicted to grow to $2.6 billion by 2025. This is a very impressive growth forecast for any industry by any standard. There are several successful cases that demonstrate the value of AI in farming and agriculture. For example, Nature Sweet when growing their tomatoes uses AI for pest control and disease study. Their AI architecture and cameras monitor plants 24/7 and provide immediate feedback (McFarland, 2017). An AI app called Climate Basic identifies the best place to plant wheat based on temperature, erosion, precipitation and soil quality in order to optimize yield (Rao, 2017).

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There is an abundance of AI tools in the market. Table 1 shows examples of companies with products that provide for farming and agriculture.

It is evident that farm managers have a wide range of tools at their disposal to boost farming and agricultural intelligence.

Advances in AI and related technologies lead to intelligent farms or farming models with high cognitive capacity. This terrain is now characterized by improvements such as:

Extensive data capture and analysis – farms now have the ability to establish, track and analyze a large number of data points to help farmers make better decisions. This enhances the accuracy of the information and helps in decision making. For example, a  farm manager can use a drone to scan a large track of land and identify the exact location of plant disease or pest infestation in real time.

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Automation and robotics – in order to speed up manual work or manage manpower shortages, robots are used in farm activities such as fruit picking and lettuce weeding among many others. This can lead to productivity gains with indefatigability, minimization of errors, and consistency of work quality.

Predictive analytics – AI tools have been created to predict changes in weather patterns, pest infestation or soil erosion to improve farm planning and management. These tools help farmers look into the future and help them make informed decisions.

Similar to other industries, farms face constraints related to the use of AI such as investment costs, compatibility with current technology infrastructure, availability of skills and resources, privacy, security, and possible regulatory issues.

Despite these potential constraints, the stage is set for cognitive farms, precision farming, and agricultural intelligence. Farmers now have the super power to find the right crop, for the right place and at the right time (Bagchi, 2018).

Em Roberts Farms

The AI ​​revolution is transforming farming and agriculture and providing multiple pathways to bountiful harvests in all corners of the world. With such a transformation, digital farms need digital farmers. Amid these dramatic technological changes, farmers need to manage their farms in new ways. Based on the traditional farming adage, viable strategies can be found:

“If you’re going to go where corn grows, take a cutting tool with you.” Farm managers must use the right tools at their disposal. They need to move quickly in the technologies available and they need to be able to sensibly assess its benefits for the farm. Extensive technological knowledge is not required, but an understanding of the basic principles and its operational implications is important. Through AI, farmer managers can have a deeper and better understanding of their farms. This higher cognitive ability brings new meaning to the proverb – “fields have eyes and woods have ears.”

“When you plan for a year, plant corn. When you plan for ten years, plant trees. When you plan for life, train and educate people.” The changing technological environment requires changes in the type of talent needed in the farm organization as well as a refinement in the organizational structure. In addition to typical farming roles, employees with technological skills need to be hired. The entire organization must be trained and educated to stay abreast of the AI ​​economy.

“All the fruits are not found in just one field.” There is value in taking a step outside the comfort zone of the farm and exploring new collaborative opportunities. Farm managers should partner with technology firms to acquire unique, innovative and advanced technologies that will not only boost productivity but also help them gain a distinct competitive advantage. Strategic partnerships with firms with inimitable technologies can give farm managers an advantage.

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“If the collective farm is rich, the farmer is happy.” Cost advantages and profit margins can be obtained from economies of scale. Farm managers will benefit by finding strength in numbers. AI technology tools can be expensive and unsustainable for some farms, collaboration with other farmers, cooperatives, suppliers, government, universities and even the local community can help to reduce investment costs.

“Work improves the harvest better than the field itself.” In farming, as in any other enterprise, diligence and conscientious planning contribute to success. Farm managers need to plan and prioritize their digital agenda. Optimizing farm operations and yield requires careful assessment and strategic planning. It requires a thorough review of what needs to be resolved first as well as a clear plan for implementation.

AI offers the tools to boost farm production and quality and truly transform agriculture. Improving large-scale farm production can have a positive impact on countries’ GDP, improve food security, and even have a positive impact on the environment.

Consequently, increases in production can lead to exciting and positive changes in the future. It is estimated that the global food and agribusiness industry is worth around $5 trillion and continues to grow (Goedde et al, 2015). In the United States alone, there are more than 2 million farms with an average of 443 acres and leading to agricultural exports totaling approximately $137 billion (Statistica.com, 2019).

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Increases in productivity can reshape the very nature of farming and agriculture and improve the global food supply. For example, climate factors affect yield fluctuations of crops such as maize, rice, soybeans and spring wheat by up to 20-49% (Phys.org, 2019). AI tools such as predictive analysis on weather patterns can help minimize crop losses around the world. Data analytics and robotics can boost overall production on any farm.

Regarding the question – Is the grass really greener in a world of AI? While challenges exist, the evidence supporting his case is very compelling. The future of farming and agriculture is in the hands of farm owners and managers around the world. In a cognitive farm with a digital farm manager, a likely answer to the question is – How green do you want it to be?

3. McFarland, M. (2017). Farmers turn to artificial intelligence to grow better crops. Posted on CNN Business. Available at: https://money.cnn.com/2017/07/26/technology/future/farming-ai-tomatoes/index.html

4. MarketsandMarkets.com. (2019). AI in Agriculture Market by Technology – Global Forecast to 2025. Published on MarketsandMarkets.com. Available at: https://www.marketsandmarkets.com/Market-Reports/ai-in-agriculture-market-159957009.html?gclid=Cj0KCQiA7aPyBRChARIsAJfWCgJDCiWL0OB1Bojg8sgeeCEZr_vskSN5cnlAADFW5CQiA7aPyBRChARIsAJfWCgJDCiWL0OB1Bojg8sgeeCEZr_vskSN5cnlAADFW5 cnlAADw7_ArqLowAd

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5. Phys.org. (2019). Climatic extremes explain 18-43% of global variations in crop yields. University of New South Wales Report. Available at: https://phys.org/news/2019-05-climate-extreme-global-crop.html

7. Sennaar, K. (2019). AI in agriculture – Current applications and impact. Published on Emerj.com. Available at: https://emerj.com/ai-sector-overviews/ai-agriculture-present-applications-impact/

J. Mark MunozFollow Dr. J. Mark Munoz is a Full Professor of Management at Millikin University, and a former Visiting Fellow at the Kennedy School of Government at Harvard University. In addition to top-level journal publications, he has authored/edited/co-edited more than 20 books such as: Global Business Intelligence and The AI ​​​​Leader.

Published at Berkeley Haas for more than sixty years, California Management Review seeks to share knowledge that challenges convention and demonstrates a better way of doing business. from Four Independent Performance Trials

Rethinking Agriculture — European Environment Agency

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