Smart protected cultivation : A future pathway for climate smart agriculture
28-May-2026
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Kshetrimayum Somendro Singh and Dr Aruna Beemrote
Agriculture worldwide is currently facing increasing pressure from climate variability, shrinking natural resources, and the need to produce more food for a burgeoning population.
Changes in weather patterns—such as irregular rainfall, rising temperatures, and frequent occurrence of extreme climatic events—are already affecting crop productivity in many regions. These challenges not only threaten crop yield but also have significant implications for farmers’ liveli- hoods, income and food security.
In response to these challenges, the concept of cli- mate-smart agriculture (CSA) has gained significant attention. Climate- smart agriculture focuses on increasing productivity, strengthening the resilience of farming systems to climate change. At the same time, it encourages practices that reduce the environmental footprint of agriculture and make agriculture more sustainable in the long run. One technological approach that aligns closely with the objectives of climate-smart agriculture is smart protected cultivation. This system combines traditional protected cultivation structures—such as greenhouses, polyhouses, and net houses—with modern digital technologies, including sensors, automation tools, and datadriven management systems. These innovations allow farmers to control environmental conditions better and more precisely, leading to improved crop growth, higher productivity, and more efficient resource utilization.
Evolution of Protected Cultivation Systems
Protected cultivation has been practiced for decades as a method of creating favourable growing condi- tions for crops. Structures such as greenhouses, poly-houses and net houses help protect plants from adverse weather conditions while allowing better control of temperature, humidity, and light. These systems have been particularly effective for the cultivation of high value horticultural crops such as vegetables, flowers, and exotic fruits.
In recent years, the incorporation of digital techno- logies has significantly enhanced the effectiveness of protected cultivation. Modern greenhouse systems are increasingly equipped with sensors capable of monitoring weather parameters such as temperature, humidity, soil moisture, light intensity, and nutrient levels in real time. These sensors are often integrated with automa- ted control systems that regulate irrigation, fertiga- tion, ventilation, and shading.
By maintaining optimal growing conditions, these systems enable farmers to achieve higher yields while using water, fertilizers, and energy more efficiently.
Role of Internet of Things (IoT) in Smart Protected Cultivation
The Internet of Things (IoT) is one of the key technologies driving the development of smart protected cultivation systems. The Internet of Things (IoT) plays a central role in this transformation. IoT-based devices make it possible to keep a constant eye on crop conditions by continuously monitoring and collecting information such as temperature, humidity, soil moisture, and other important parameters.
The availability of real-time data enables farmers to make timely and informed management decisions. For example, irrigation schedules can be adjusted based on soil moisture readings, and ventilation systems can automatically respond to changes in temperature or humidity. In some protected cultivation systems with advanced technologies, automated responses are triggered without human intervention, ensuring that crops remain under optimal growing conditions even when farmers are not physically present at the farm.
Such systems not only improve crop productivity but also enhance resource efficiency, particularly in terms of water and energy use.
Integration of Artificial Intelligence and Machine Learning
Another important technological development in smart protected cultivation is the integration of artificial intelligence (AI) and machine learning (ML). These technologies have the capacity to analyse large datasets generated by sensors, weather forecasts, and historical crop performance records.
AI-based systems can identify patterns in these datasets and provide predictive insights that support precision crop management. For example, machine learning algorithms can detect early signs of plant stress by analysing small changes in environmental parameters or plant growth patterns. Early identification of stress or disease allows farmers to intervene promptly, thereby minimizing crop losses and reducing the need for excessive pesticide use. AI-driven deci- sion-support systems can also optimize irrigation schedules, nutrient management, and pest control strategies.
Automation and Robotics in Controlled Environment Agriculture
Automation and robotics are also becoming increasingly important components of modern greenhouse systems. Agricultural robots are being developed to perform various operations such as planting, pruning, harvesting, and crop monitoring within controlled environment structures.
These technologies can significantly reduce labour requirements and improve operational efficiency. This is particularly important in regions where agricultural labour is limited or expensive. For instance, robotic harvesting systems equipped with computer vision technology can identify ripe fruits and harvest them carefully without damaging the plants.
Although the widespread adoption of agricultural robotics is still in its early stages, rapid advancements in sensor technology, artificial intelligence, and machine vision suggest that these systems will become more accessible and cost-effective in the near future.
Energy Efficiency and Renewable Energy Integration
Energy consumption is an important consideration in protected cultivation systems, particularly in greenhouses that require heating, cooling, and artificial lighting. To improve sustainability, researchers are increasingly focusing on ways to enhance energy efficiency and integrate renewable energy sources into greenhouse operations.
Technologies such as solar panels, geothermal heating systems, and energy-efficient LED lighting are being explored as alternatives to conventional energy sources. The adoption of renewable energy not only reduces operational costs but also lowers greenhouse gas emissions associated with agricultural production.
Improving energy efficiency is therefore an essential component of developing environmentally sustainable protected cultivation systems that align with the principles of climate-smart agriculture.
(To be contd)