eChapters

INTRODUCTION

Integrated Pest Management (IPM) has been defined as a “system that, in the context of the environment and the population dynamics of the pest species, utilizes all suitable techniques and methods in as compatible manner as possible that maintain the pest populations at levels below those causing economic injury” (Glass 1975). The Inter society Consortium for Plant Protection (ICPP) has defined integrated pest management as “the use of multiple tactics in a compatible manner to maintain pest population at levels below those causing economic injury while providing protection against hazards to humans, domestic animals, plants and the environment”. The term ’integrated’ means it is a broad interdisciplinary approach taken using scientific principles of plant protection of variety of management strategies and tactics to fuse into a single system. The terms ‘pest’ means all biotic agents which adversely affect plant production. This includes insects, mites, nematodes, weeds, bacteria, fungi, viruses, parasitic seed plants and vertebrates. The term ‘management’ indicates to keep the pest population below some level based on economic criteria. It does not mean complete eradication of entire pest population.

Many diseases, nematodes, insects and weeds affect crop production, causing severe yield loss. Weather is the most important factor that determines the geographical distribution of these crop pests. The local weather patterns have a significant impact on the abundance of diseases and insect pests in the crops. The severity of disease and pest development depends on the combination of weather conditions during the growing season and is variable from season to season. The weather conditions include temperature (both the maximum and the minimum), light, rain, humidity, dew, cloudiness, sunshine, wind, air currents, evaporation, snow and atmospheric pressure. However, among these weather parameters, temperature and humidity play the major roles in infection of crops due to insect pests and diseases.

Fungal diseases are a significant threat to crop health and productivity worldwide, causing substantial economic losses and compromising food security. The development and spread of fungal diseases are influenced by a complex array of factors, including crop susceptibility, pathogen virulence, and environmental conditions. Among these environmental factors, weather plays a critical role in determining the severity and impact of fungal diseases on crops. Weather conditions, such as temperature, humidity, precipitation, and wind, can significantly affect the life cycle of fungal pathogens, including spore production, dispersal, and infection. For example, high temperatures and dry conditions can inhibit the growth and development of some fungal pathogens, while cool and wet conditions can favor their development and spread. Similarly, wind and precipitation can facilitate the dispersal of fungal spores, leading to the rapid spread of disease (Fig. 7.1). Understanding the impact of weather on fungal diseases is essential for developing effective disease management strategies. By recognizing the weather conditions that favor or inhibit the development of fungal diseases, farmers and crop managers can take proactive measures to prevent or mitigate disease outbreaks. This may involve adjusting planting dates, irrigation schedules, and fungicide applications to minimize the risk of disease. Furthermore, knowledge of the weather effects on fungal diseases can also inform the development of more accurate and reliable disease forecasting systems.

Coffee is grown at higher elevation across the Western Ghats between 750 and 1200 m amsl. It requires a certain degree of shade for its better performance.  The annual rainfall over the coffee growing tracts varies between 1400 and 2600mm, having uni/bi-model rainfall with prolonged dryspell from November to May. It is more so over North of the Western Ghats. The mean annual maximum temperature varies between 24 and 300C while the minimum between 15 and 180C. The difference between maximum and minimum temperatures (temperature range) varies between 5 and 160C across the coffee tract. The ‘Monsooned Malabar Coffee’ is a specialty coffee produced from the erstwhile ‘Malabar Region’. It undergoes certain changes in physical and biochemical characters when the coffee beans are processed during the summer monsoon (June to September). It is processed at Mangalore, located in Coastal Karnataka. The processing location experiences heavy rainfall of more than 1000 mm in July, followed by 950 mm in June and 600 mm in August. Out of 3264 mm of annual rainfall, 2852 mm is received during the monsoon period. It accounts more than 80 per cent of annual rainfall. The maximum temperature during the coffee monsooning period varies between 28 and 30°C while night temperature revolves between 22 and 24°C. Being located in the tropics along the West Coast, the crop processing environment in terms of surface air temperature is relatively uniform and moderate with a characteristic feature of heavy clouds and continuous rainfall during the monsoon period. These monsoon features are more predominant from the middle of June to August during which the coffee beans are subjected to monsooning. The coffee beans
bulge in the process of monsooning and the volume increases significantly due to absorption of atmospheric moisture. It is directly related to the monsoonal wind during which coffee beans are processed. The bulging was less in all the samples processed during monsoon 2003, which varied from 2.1 to 2.7 ml/100 number, while it ranged between 2.7 and 5.8 ml/100 number in the samples processed during monsoon 2004.

Weather parameters, such as temperature, humidity, rainfall, and wind, play a significant role in the epidemiology of viral diseases in crops. Viral diseases, caused by viruses that infect plants, can have devastating effects on crop yields and quality, leading to significant economic losses for farmers and the agricultural industry. The impact of weather parameters on viral diseases is complex and multifaceted. Weather conditions can influence the spread of viruses, the survival and multiplication of virus vectors, and the susceptibility of plants to virus infection (Fig. 9.1). Understanding the relationships between weather parameters and viral diseases is essential for developing effective disease management strategies and mitigating the impacts of viral diseases on crop productivity. Fig. 9.1. Yellow Leaf Curl Viral disease of Tomato Temperature, for example, can affect the replication and transmission of viruses, with optimal temperatures varying depending on the specific virus, its vector and host plant. Humidity and rainfall can influence the spread of viruses by affecting the movement and behavior of virus vectors, such as insects and nematodes. Wind can also play a role in the spread of viruses by dispersing virusinfected pollen and insects. This chapter will explore the effects of weather parameters on viral diseases in crops, with a focus on the relationships between temperature, humidity, rainfall, wind, and viral disease epidemiology. By examining the complex interactions between weather parameters and viral diseases, we can gain a deeper understanding of the factors that contribute to the spread and impact of viral diseases in crops, and develop more effective strategies for managing these diseases.

Abstract

Under Ministry of Earth Sciences, India Meteorological Department has launched District level Agro-meteorological Advisory Services in June 2008. The agro-advisory bulletins containing the forecast on rainfall cloud cover, wind direction and speed aid minimum and maximum temperature with their likely impact on crops are in use twice in a week.

Agriculture has always played and will continue to play a dominant role in the growth of Indian economy in the foreseeable future. It represents the largest sector producing around 28 per cent of the gross domestic product (GDP). Achieving self sufficiency in food grains production has ensured a high priority for agricultural sector in the successive development plans of the country. Agricultural production is grossly affected by attack of pests/diseases on various crops and the losses in food grains only are to the tune of Rs 90,000 crores each year in India. The prevention of such losses needs substantial consideration and accordingly forewarning of pests and diseases is essential for taking timely control measures. These are also required for assessing losses. Pest/disease infestation in crops is highly influenced by meteorological factors. The weather based modeling for early warning of pest/disease infestation may provide appropriate tool for investigating and predicting pest/disease status.

Under normal weather situation, agriculture depends on timely occurrence of rainfall for crop management activities irrespective of different farming situations namely, irrigated and unirrigated agriculture. Changes in temperature and rainfall pattern together with frequent occurrence of extreme weather events are major anticipated threats from the climate change that occurs now around the world. This threat in long run, if not addressed properly, would affect food security of a country. Pratap Narain et al., (2000) observed an increase in moderate and severe drought occurrence numbers in the arid zone of India during last decade (1991-2000) as compared to the earlier decades of the last century. Similarly, Pasupalak (2008) reported daily maximum rainfall of 400.3 mm in the last decade against earlier record of 256.4 mm (1969–78) in a location at Odisha State. Further the inter- annual variation within the decade did increase and also the number of rainy days with very heavy rainfall > 125 mm also found increased in the location against the daily mean rainfall of 20 mm/day in India.

A day may be with heavy rainfall or with bright sunshine or windy or in combination of these. When heavy rainfall continues for more than a week with some system like cyclone, floods may be the result. Similarly, if dry spell continues during a cropping season for more than 15 days, drought would initiate in that region. This is again depending upon the nature of the soil water holding capacity and nature of soils, topography and green cover of that region. In between these two extremes, we have normal season, where we get normal seasonal rainfall during a cropping season. Hence like dress code, in agro-climatology, there are three weather codes, namely floods code, drought code and normal code. The jargon weather code was developed by Dr.M. S Swaminathan in India. Across the countries of the World, if these weather codes occur, the impact would be universal. The strength of adaptation capacity to maneuver these extreme events by the farming community rests with their past experience made for similar situations, financial support and also the technology options that are available from the scientific institutions.

In the preceding chapters, we embarked on a comprehensive journey through the realm of vegetables, covering a wide range of species that belong to different botanical and culinary groups. These chapters provided an indepth exploration of the characteristics, growth habits, and environmental requirements of various vegetables, as well as the effects of weather conditions on their productivity.
However, the diversity of vegetables is vast, and there are several other important species that were not covered in the earlier chapters. These vegetables may be regionally specific, possess unique characteristics, or have distinct environmental requirements. Despite their importance, they have remained outside the scope of our previous discussions.
This chapter aims to fill this knowledge gap by providing an overview of these additional vegetables, with a focus on understanding the impact of weather conditions on their growth, development, and productivity. By examining the effects of temperature, moisture, light, and other environmental factors on these vegetables, we can gain valuable insights into their cultivation requirements and optimize their production.
Through this chapter, we hope to provide a more comprehensive understanding of the vegetable kingdom, highlighting the diversity of species, their environmental requirements, and the strategies for maximizing their yields. By expanding our knowledge of these lesser-covered vegetables, we can promote their cultivation, conservation, and sustainable use, ultimately contributing to global food security and nutrition.

One of biggest challenges facing animal science is to increase the production in the context of climate change. Animal performance may be limited by adverse climatic focus (Sejian et al., 2010; Sejian et al., 2012). The economic impact of climate changes in relation to livestock production are widely reported, and several losses are predicted if current management systems are not modified to reflect the shift in climate. Climate change poses formidable challenge to the development of livestock sector in India (Sejian et al., 2013; Naqvi et al., 2013). Global warming could increase water, shelter and energy requirement of livestock for meeting projected milk demands. The anticipated rise in temperature between 2.3 and 4.8°C over the entire country together with increased precipitation resulting from climate change is likely to aggravate the heat stress in dairy animals, adversely affecting their productive and reproductive performance, and hence reducing the total area where high yielding dairy cattle can be economically reared. A preliminary estimate indicates that global warming is likely to lead to a loss of 1.6 million tonnes in milk production in India by 2020.

Seasonal variations in climatic conditions impact the availability of feed in the livestock (Sejian et al., 2014; Bagath et al., 2016). Over and above the effect of seasonal variations that cause considerable economic hardship, it is the unforeseen and unexpected periods of inclement and severe weather conditions which exacerbate the gross economic losses in livestock industry (Sejian and Srivastava, 2010; Sejian et al., 2010). In addition to mortalities of livestock associated with severe climatic conditions, reductions in reproductive and productive performances generate sizeable economic setback. Impressive advances in research have been made to assess the impact of climatic stressors on the physiological and dynamic responses of livestock (Shaji et al., 2015; Maurya et al., 2015). At the same time livestock managers and farmers continue to search for management options which can alleviate and reduce the effects of severe weather on livestock performance and productivity. This chapter will address in detail the impact of environmental stresses on livestock production and reproduction. These attempts will help the scientific fraternity to develop appropriate mitigation strategies to improve ruminant livestock production in these agro-ecological zones. This might pave way to improve the livelihood securities of poor and marginal farmers of this tropical environment via an appropriate universal research agenda.

4.1 Introduction

The livestock/poultry have great capability for climatic adaptation and acclimatization. However in an open environmental condition their overall well-being and efficiency depends on day-to- day weather conditions. While certain breeds of livestock and poultry are considerably flexible to adjust themselves with the varying weather conditions, the others may have little adjustability. This has led to the development of weather/climate based livestock/ poultry management practices which include the general care. Nutrition and health managements for optimizing conditions for best yield in respect of milk, meat, eggs, wool, load carrying capacity etc. have been properly documented. 

ABSTRACT

Losses and benefits in agricultural production are associated with various weather parameters. So prediction of weather systems in different spatial and temporal scale over the Indian region therefore assumes considerable socio-economic importance. Meteorological information also plays an important role in the following operations in agriculture. The meteorological services can help the farmers & the planners exploit the potential of good weather and minimize the impact of bad weather as there exist tremendous opportunities for applications of meteorology in both day to day and long term planning in agriculture and such applications could contribute substantially to promote sustainable agriculture and poverty alleviation and the management of agrometeorological data is the key to these applications. Therefore, the area and input intensive agriculture is leading us into an era of unsustainable agricultural growth as the crucial components of sustainable agricultural production and distribution system such as integration of natural biological cycles and controls; protection and renewal of soil fertility and the natural resource base; optimization of the use of nonrenewable resources and of on-farm & off- farm inputs; ensuring dependable farm income. Hence, the meteorological information may help the farmer make the most efficient use of natural resources, with the aim of improving agricultural production both in quantity and quality. It becomes more and more important to supply meteorological information blended with weather sensitive management operations before the start of cropping season in order to adapt the agricultural system to increased weather variability. Subsequent to this, weather forecast based Agro-meteorological advisories become vital to stabilize their yields through management of agro-climatic resources as well as other inputs such as irrigation, fertilizer and pesticides. The main emphasis of the existing AAS system is to collect and organize climate/weather, soil and crop information, and to amalgamate them with weather forecast to assist farmers in taking management decisions. This has helped to develop and apply operational tools to manage weather related uncertainties through agro-meteorological applications for efficient agriculture in rapidly changing environments. Hence, weather information and advisories have assumed greater significance under the increased variability in the changing climate. Thus, Weather forecasting and advisory has become an indispensable aid for sustainable agro-transformation

Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Forecasts based on temperature and precipitation is important to agriculture. Agricultural production is highly dependent on weather, climate and water availability, and is adversely affected by weather and climate related disasters. In many developing countries where rainfed agriculture is the norm, a good rainy season means good crop production, enhanced food security and a healthy economy. Farming in many parts of the world, especially in the arid and semiarid regions is risky, because climate is highly variable. A timely seasonal forecast of favourable conditions could permit farmers to adjust cropping patterns and input use in order to benefit fully from these conditions. Under rainfed conditions, even a less reliable, but earlier forecast may be more valuable than an accurate but late forecast.

In about 340 B.C., Aristotle described weather patterns in Meteorologica. Later, Theophrastus compiled a book on weather forecasting, called the Book of Signs. Ancient weather forecasting methods usually relied on observed patterns of events. This experience was accumulated over the generations to produce weather knowledge. However, not all of these predictions prove reliable, and many of them have since been found not to stand up to rigorous statistical testing. Two officers from of British Royal Navy, Francis Beaufort and Robert FitzRoy formed the basis for all of today’s weather forecasting knowledge by middle of 19th century. A terrible storm in 1859 inspired FitzRoy to develop charts to allow predictions to be made, which he called ‘forecasting the weather’, thus coining the term ‘weather forecast’. The ‘Weather Book’ which FitzRoy published in 1863 was far in advance of the scientific opinion of the time. By the early 20th century, scientists had begun to believe that weather forecasting could be predicted based on mathematical methods. Computers were first used to create surface analyses in 1992 and by 1998 digital imagery were used for satellite, radar and surface observations, encompassing nearly every factor of weather interpretation. Modern technology, particularly computers and weather satellites, and the availability of data provided by coordinated meteorological observing networks, has resulted in enormous improvements in the accuracy of weather forecasting.

The sole science of meteorology is to deal with weather forecasting while livestock advisory based on weather forewarning is dealt with multidisciplinary approach in the field of livestock meteorology for the benefit of the livestock farmers. In this context, the current status of livestock advisory based on medium range weather forecasting is highlighted so that the tools for livestock advisory can be initiated and developed by the concerned for the benefit of livestock farmers in similar lines. Information on weather forecasting is used in various society linked sectors and animal husbandry component is one of them (Fig. 17.1).

Weather conditions strongly influence crop growth, irrigation requirements, pest and disease development, and final agricultural productivity. This chapter examines the application of artificial intelligence, machine learning, and deep learning for agricultural weather forecasting and predictive analytics. It explains how historical meteorological records, satellite observations, and IoT sensor data can be integrated to develop more accurate forecasting systems. Techniques such as Long Short-Term Memory networks, attention mechanisms, ensemble learning, and probabilistic forecasting support improved prediction of complex weather patterns. The chapter connects forecasting with agricultural decision-support systems for irrigation, pest management, and crop planning. It also considers data heterogeneity, missing observations, uncertainty, and future developments such as hybrid models, federated learning, and digital twins.

From the farmer deciding when to sow seeds to the traveler planning their journey, from the pilot navigating the skies to the energy provider managing demand, the state of the atmosphere profoundly influences our daily lives and myriad human activities. The ability to anticipate future atmospheric conditions, a practice we know as weather forecasting, is therefore not merely an academic pursuit but a practical necessity (Fig. 16.1).
This chapter will delve into the fascinating world of weather forecasting, exploring its historical roots, the fundamental scientific principles that underpin it, and the sophisticated tools and techniques employed by modern meteorologists. We will journey through the process of observing the current state of the atmosphere, the computational power used to model its complex dynamics, and the various ways forecasts are disseminated and interpreted.
Understanding the science behind weather forecasting empowers us to appreciate its capabilities and limitations. It allows us to make more informed decisions in the face of an ever-changing atmospheric environment. Join us as we unravel the methods used to predict the weather, from simple observations to cutting-edge numerical models, and gain insight into the continuous advancements shaping the future of this vital scientific discipline.

Environment in which crops are grown dictates their final yield. Of these environmental factors, climate and weather the uncontrolable factors, have maximum influence on crop productivity. Vagaries of weather subject a crop to different ecological situations from year to year leading to differential responses of crops to input resources. This situation limits the use of costly inputs for realizing optimum yield. While weather itself cannot modify, the hazardous weather can often be mitigated by agronomic management. Therefore, the primary requirement for initiating agronomic measures against weather hazards is foreknowledge of weather situation that is likely to develop in an area.

From the farmer deciding when to sow seeds to the traveler planning their journey, from the pilot navigating the skies to the energy provider managing demand, the state of the atmosphere profoundly influences our daily lives and myriad human activities. The ability to anticipate future atmospheric mconditions, a practice we know as weather forecasting, is therefore not merely an academic pursuit but a practical necessity (Fig. 16.1). 
This chapter will delve into the fascinating world of weather forecasting, exploring its historical roots, the fundamental scientific principles that underpin it, and the sophisticated tools and techniques employed by modern meteorologists. We will journey through the process of observing the current state of the atmosphere, the computational power used to model its complex dynamics, and the various ways forecasts are disseminated and interpreted.