{"id":359,"date":"2019-11-08T12:41:34","date_gmt":"2019-11-08T12:41:34","guid":{"rendered":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/?p=359"},"modified":"2019-11-08T12:41:34","modified_gmt":"2019-11-08T12:41:34","slug":"ai-market-in-agriculture-growth-trends-and-forecast","status":"publish","type":"post","link":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/ai-market-in-agriculture-growth-trends-and-forecast\/","title":{"rendered":"AI MARKET IN AGRICULTURE &#8211; GROWTH, TRENDS, AND FORECAST"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">In the true sense, <\/span><strong><i>Farming<\/i><\/strong><span style=\"font-weight: 400;\"> is by far one of the oldest lines of work in the world.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But, with the passage of millennia, Humanity has come a long way and so did agriculture. From conventional methods to grow crops to the usage of AI in Agriculture, Humanity has indeed taken a big leap.But with land getting in short supply and population growing by leaps and bounds, using creative methods to produce crops and boost productivity in limited space has become the need of the hour.\u00a0<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Change has stepped in<\/span><\/i><span style=\"font-weight: 400;\">. And this can be testified by the fact that the worldwide agriculture industry which is roughly estimated to be around $5 trillion, is stepping in the shoes of other sectors, shifting to what is known as <strong>Precision Farming<\/strong>.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For instance, adopting AI technologies to reap healthy crops, monitor soil, control pests, accumulate data for farmers etc. and eventually perk up a number of agriculture-related errands in the food supply chain.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-362 size-full\" title=\"Artificial Intelligence in Farming\" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/2-Machine-Learning.jpg\" alt=\"Artificial Intelligence in Farming\" width=\"638\" height=\"359\" \/><\/p>\n<h1><strong>Digital Agriculture: Farmers are using AI to increase crop yields<\/strong><\/h1>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.spinanalyticsandstrategy.com\/blog\/artificial-intelligence-leading-the-way-towards-global-development\/\"><strong>Artificial intelligence<\/strong><\/a> holds the promise of driving an agricultural revolution at a time when the world must produce more food using fewer resources.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Artificial Intelligence has various applications in agriculture ranging from rural automatons, facial acknowledgment, computerized water system frameworks, and driver less tractors. These applications are done in relationship with an alternate sort of sensors, GPS frameworks, radars, and other cutting edge contraptions dependent on AI.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Innovative progressions and the modernization of GPS are making ranchers and the agriculture specialist co-ops anticipate that additional upgrades will increase the profitability.Increasing adoption of the mechanical technology and IoT gadgets in agriculture is additionally assessed to drive the <a href=\"https:\/\/www.spinanalyticsandstrategy.com\/blog\/artificial-intelligence-leading-the-way-towards-global-development\/\"><strong>AI in agriculture<\/strong><\/a>.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Agriculture is slowly becoming digital and AI in agriculture is emerging in three major categories, (i) agricultural robotics, (ii) soil and crop monitoring, and (iii) predictive analytics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Agricultural Robots<\/strong> \u2013 Companies are developing and programming autonomous robots to handle essential agricultural tasks such as harvesting crops at a higher volume and faster pace than human laborers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Crop and Soil Monitoring<\/strong> \u2013 Companies are leveraging computer vision and deep-learning algorithms to process data captured by drones and\/or software-based technology to monitor crop and soil health.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Predictive Analytics<\/strong> \u2013 Machine learning models are being developed to track and predict various <strong>environmental impacts on crop yield<\/strong> such as weather changes.<\/span><a href=\"https:\/\/www.spinanalyticsandstrategy.com\/blog\/artificial-intelligence-leading-the-way-towards-global-development\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-373 size-full\" title=\"AI With Agriculture Farming \" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/3-SPIN-AI-With-Agriculture-1.jpg\" alt=\"AI With Agriculture Farming \" width=\"400\" height=\"400\" \/><\/a><\/p>\n<h2><b>How Analytics and AI steps in actually<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Intelligent farming practices that have eventually transformed into <\/span><b>knowledge-based agriculture<\/b><span style=\"font-weight: 400;\">, increases production levels and product quality to significant numbers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With trained professionals in this art, companies like <\/span><b>SPIN Strategy <\/b><span style=\"font-weight: 400;\">extracts insights from numerous data sources that are integrated into an Advanced Big Data Framework with data analysis decision-making, and automated data recording.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Result- Customized data for better plant health.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At <a href=\"https:\/\/www.spinanalyticsandstrategy.com\/\"><strong>SPIN<\/strong><\/a>, with the combination of smart farming and AI, we assemble, analyze, and digitize massive amounts of data to aid farmers to optimize their production systems. And, that\u2019s why we like to be termed as the <\/span><i><span style=\"font-weight: 400;\">Farmer\u2019s Little Hand.<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">With the use of technology, we:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Determine the ripeness of the crop<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Help farmers preserve water<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Customize production<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Let&#8217;s dig deep to understand how ML and AI make a difference in Smart Farming using IoT.<\/span><\/p>\n<p><b>Role of Artificial Intelligence in Agriculture<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The agricultural industry is just like any other industry beginning to show interest in implementing the best-in-class technologies to save on resources and create more efficient processes. Agriculture is responsible for the survival of human beings, and the industry has made steady technological improvements in the last few years.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-375 size-full\" title=\"IoT in Smart Farming\" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/4-SPIN-ML-With-AI-1.jpg\" alt=\"IoT in Smart Farming\" width=\"638\" height=\"359\" \/><\/p>\n<p><strong>How SPIN\u2019s ML and AI programs make the difference in Agriculture:\u00a0<\/strong><\/p>\n<p><strong>Machine Learning in Farming:\u00a0<\/strong><\/p>\n<p><strong><span style=\"font-weight: 400;\">Provides faster and precise results by evaluating the <\/span><i><span style=\"font-weight: 400;\">Leaf Vein Morphology<\/span><\/i><span style=\"font-weight: 400;\"> that has more data about the leaf properties.<\/span><\/strong><\/p>\n<p><b>Artificial Intelligence in Farming:\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Uses algorithms and previous field data to determine crop performance in different environments, and builds a Probability Model to forecast the genes beneficial for the plant.<\/span><\/p>\n<p><strong>Here is a detailed overview, how SPIN\u2019s AI programs turn the tables for agriculture:<\/strong><\/p>\n<h3><strong><strong>1 . Water Management:<\/strong><\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">An AI-based application that can be connected with more successful use of irrigation systems and forecasting of daily dew point temperature, which is the base to determine any weather phenomena and analyze evaporation and transpiration.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-376 size-full\" title=\"Water Management with AI\" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/5-SPIN-Crop-Yeild-Management-1.jpg\" alt=\"Water Management with AI\" width=\"638\" height=\"359\" \/><\/p>\n<h3><strong>2<\/strong>. <b>Yield Prediction:\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Moving beyond the traditional prediction of historical data, <strong>SPIN<\/strong> incorporates computer vision technologies to supply data on the go and conducts a thorough multidimensional analysis of weather, crops, economic conditions, etc. to reap the maximum benefit of the yield for farmers and the population.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-377 size-full\" title=\"Yield Production\" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/Yield-Production-Management-System-1.png\" alt=\"Yield Production\" width=\"638\" height=\"359\" \/><\/p>\n<h3><strong>3.<\/strong> <b>Crop Quality:<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The precise detection and categorization of the crop quality can shoot up the product price and cut down waste. Compared to human counterparts, machines avoid meaningless data to determine the quality of the crops and any possible anomalies.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-367 size-full\" title=\"Soil Management\" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/8-Crop-Yeild-Monitoring-Management.jpg\" alt=\"Soil Management\" width=\"638\" height=\"359\" \/><\/p>\n<h3><strong>4. Disease Detection:<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">At SPIN, we evaluate field images with Conventional Neural Networks to classify pests and diseases, track agro-technical activities, and gather data. To be more efficient, this approach needs more pesticides that lead to huge environmental expenses. ML is used as a general agriculture management to determine diseases and cut those costs.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-366 size-full\" title=\"Disease Detection\" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/6-SPIN-STRATEGY-Crop-Monitoring.jpg\" alt=\"Disease Detection\" width=\"638\" height=\"359\" \/><\/p>\n<h3><b>5. Monitoring Crop\u2019s health:\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Hyper spectral imaging, together with sensing techniques and <strong>3D laser scanning<\/strong> are vital to establish crop metrics across the land. <a href=\"https:\/\/www.spinanalyticsandstrategy.com\/\"><strong>SPIN<\/strong><\/a>\u00a0crop health monitoring agent has the potential to change farmland monitoring by farmers and can significantly cut down on the effort.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-370 size-full\" title=\"Monitoring crop\u2019s health\" src=\"https:\/\/learn4self.com\/spnblog\/wp-content\/uploads\/2020\/07\/7-Water-Management-With-AI.jpg\" alt=\"Monitoring crop\u2019s health\" width=\"638\" height=\"359\" \/><\/p>\n<h2><b>How SPIN Contributes to Smart Farming<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Confirmation and extensive testing of <strong>emerging AI applications in the Agriculture sector<\/strong> is estimated to be quite vital, since agriculture is affected by environmental factors that cannot be tamed, unlike other sectors where the risk is easy to predict.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At SPIN, we ensure a steady adoption of AI in agriculture with the help of Image Sensor Technology that helps in:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Real-time monitoring, analysis, and control of pest &amp; disease<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Pollination, Phrenology, Fertilization, Irrigation<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Pollination, Phrenology, Fertilization, and Agri-Technical activities<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Monitor and forecast yield performance in real-time to optimize results<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Using Support Vector Machines to predict yield and crop quality<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Using Artificial Neural Networks for crop management and weed detection<\/span><\/li>\n<\/ul>\n<h3><b>Scenario<\/b><\/h3>\n<p><b>Issue<\/b><span style=\"font-weight: 400;\">-One of our clients, a Colorado-based organization, wanted a preventive measure for defective crops, and optimize the potential for healthy crop production.<\/span><\/p>\n<p><b>Solution<\/b><span style=\"font-weight: 400;\">&#8211; The trained AI professionals at SPIN conducted a comprehensive <\/span><i><span style=\"font-weight: 400;\">Soil Analysis <\/span><\/i><span style=\"font-weight: 400;\">and developed a system that will use Machine Learning to deliver clients with an idea of the soil\u2019s strength and weakness. This way defective crop production could be prevented to a significant degree.<\/span><\/p>\n<h2><b>To conclude with<\/b><\/h2>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.spinanalyticsandstrategy.com\/blog\/business-benefits-of-iot-can-be-realized-only-by-effective-ai-deployment\/\"><strong>Artificial Intelligence and Farming<\/strong><\/a> have the potential to pave the way for an agricultural revolution, especially when the world needs more food production with limited resources.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As per the <strong>UN Food and Agriculture Organization<\/strong>, the population will hit the roof by 2 billion by 2050. However, experts are of the notion that only 4% of the additional land will fall under cultivation category. In tune with this, the use of the latest technology to do smart farming still takes the front seat.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI-Powered solution will enable farmers to do more with limited resources and produce the finest quality of crops that amazes even the producer.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Need professional guidance to reap the benefits of using AI in farming? Visit SPIN Strategy today: <\/span><strong><a href=\"https:\/\/www.spinanalyticsandstrategy.com\/\">https:\/\/www.spinanalyticsandstrategy.com\/<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the true sense, Farming is by far one of the oldest lines of work in the world. But, with<\/p>\n","protected":false},"author":1,"featured_media":528,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,6,8],"tags":[11,14,15,17,25,33,49,53,89,102,114],"class_list":["post-359","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-data-analytics","category-predictive-analytics","tag-agriculture-organization","tag-ai-and-iot","tag-ai-applications","tag-ai-farming","tag-artificial-intelligence","tag-big-data-framework","tag-crop-management","tag-data-analysis","tag-machine-learning","tag-precision-agriculture","tag-smart-farming-and-ai"],"_links":{"self":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts\/359","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/comments?post=359"}],"version-history":[{"count":0,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts\/359\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/media\/528"}],"wp:attachment":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/media?parent=359"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/categories?post=359"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/tags?post=359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}